際際滷shows by User: kompats / http://www.slideshare.net/images/logo.gif 際際滷shows by User: kompats / Thu, 22 May 2025 15:48:19 GMT 際際滷Share feed for 際際滷shows by User: kompats AI against disinformation and why it is not enough /slideshow/ai-against-disinformation-and-why-it-is-not-enough-067c/279527665 disinformation-integritry2024-public-250522154819-388a1677
In recent years, the proliferation of generative AI technology has revolutionized the landscape of media content creation, enabling even the average user to fabricate convincing videos, images, text, and audio. However, this advancement has also exacerbated the issue of online disinformation, which is spiraling out of control due to the vast reach of social media platforms, sophisticated campaigns, and the proliferation of deepfakes. After an introduction including the significant impact on key societal values such as Democracy, Public Health and Peace, the talk focuses on techniques to detect visual disinformation, manipulated photos/video, deepfakes and visuals out of context. While AI technologies offer promising avenues for addressing disinformation, it is clear that they alone are not sufficient to address this complex and multifaceted problem. Limitations of current AI approaches will be discussed, along with broader human behaviour, societal and financial challenges that must be addressed to effectively combat online disinformation. A holistic approach that encompasses technological, regulatory, and educational interventions, developing critical thought will be finally presented.]]>
In recent years, the proliferation of generative AI technology has revolutionized the landscape of media content creation, enabling even the average user to fabricate convincing videos, images, text, and audio. However, this advancement has also exacerbated the issue of online disinformation, which is spiraling out of control due to the vast reach of social media platforms, sophisticated campaigns, and the proliferation of deepfakes. After an introduction including the significant impact on key societal values such as Democracy, Public Health and Peace, the talk focuses on techniques to detect visual disinformation, manipulated photos/video, deepfakes and visuals out of context. While AI technologies offer promising avenues for addressing disinformation, it is clear that they alone are not sufficient to address this complex and multifaceted problem. Limitations of current AI approaches will be discussed, along with broader human behaviour, societal and financial challenges that must be addressed to effectively combat online disinformation. A holistic approach that encompasses technological, regulatory, and educational interventions, developing critical thought will be finally presented.]]> Thu, 22 May 2025 15:48:19 GMT /slideshow/ai-against-disinformation-and-why-it-is-not-enough-067c/279527665 kompats@slideshare.net(kompats) AI against disinformation and why it is not enough kompats In recent years, the proliferation of generative AI technology has revolutionized the landscape of media content creation, enabling even the average user to fabricate convincing videos, images, text, and audio. However, this advancement has also exacerbated the issue of online disinformation, which is spiraling out of control due to the vast reach of social media platforms, sophisticated campaigns, and the proliferation of deepfakes. After an introduction including the significant impact on key societal values such as Democracy, Public Health and Peace, the talk focuses on techniques to detect visual disinformation, manipulated photos/video, deepfakes and visuals out of context. While AI technologies offer promising avenues for addressing disinformation, it is clear that they alone are not sufficient to address this complex and multifaceted problem. Limitations of current AI approaches will be discussed, along with broader human behaviour, societal and financial challenges that must be addressed to effectively combat online disinformation. A holistic approach that encompasses technological, regulatory, and educational interventions, developing critical thought will be finally presented. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/disinformation-integritry2024-public-250522154819-388a1677-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In recent years, the proliferation of generative AI technology has revolutionized the landscape of media content creation, enabling even the average user to fabricate convincing videos, images, text, and audio. However, this advancement has also exacerbated the issue of online disinformation, which is spiraling out of control due to the vast reach of social media platforms, sophisticated campaigns, and the proliferation of deepfakes. After an introduction including the significant impact on key societal values such as Democracy, Public Health and Peace, the talk focuses on techniques to detect visual disinformation, manipulated photos/video, deepfakes and visuals out of context. While AI technologies offer promising avenues for addressing disinformation, it is clear that they alone are not sufficient to address this complex and multifaceted problem. Limitations of current AI approaches will be discussed, along with broader human behaviour, societal and financial challenges that must be addressed to effectively combat online disinformation. A holistic approach that encompasses technological, regulatory, and educational interventions, developing critical thought will be finally presented.
AI against disinformation and why it is not enough from Yiannis Kompatsiaris
]]> 9 0 https://cdn.slidesharecdn.com/ss_thumbnails/disinformation-integritry2024-public-250522154819-388a1677-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 留了劉 留虜旅虜劉 虜留旅 凌了旅旅虜劉 粒旅留 侶僚 離竜慮僚侶 竜僚留 侶僚 里竜僚侶流 凌侶亮凌僚侶 /slideshow/ss-9bb7/279506001 random-250522055641-24565c4c
留凌溜留侶 竜旅粒略竜旅 隆旅略凌竜 劉 粒旅留 侶 侶亮留溜留 侶 竜慮僚侶 劉竜僚留 侶僚 里竜僚侶流 凌侶亮凌僚侶 (里). 里凌僚溜龍竜留旅 侶 侶亮留溜留 侶 劉竜僚留 侶僚 里 虜留慮ﾏ 流隆侶 竜留亮龍竜留旅 竜 虜溜旅亮竜 竜留亮凌粒劉 侶 粒竜溜留 虜留旅 留凌略 了劉凌僚 竜隆僚 了竜 旅 竜旅侶亮凌僚旅虜劉 竜旅凌劉 劉留 留 侶僚 了侶凌凌旅虜流 虜留旅 旅 竜旅流亮竜 亮侶留僚旅虜凌. 留凌旅略龍凌僚留旅 硫留旅虜略 龍侶流亮留留 : 亮竜凌了侶溜留, 隆旅留略僚竜旅留, 留両旅凌旅溜留, 竜亮侶僚竜旅亮侶留 虜留旅 竜旅硫留了了凌僚旅虜 留凌亮留, 虜留慮ﾏ 虜留旅 侶慮旅虜略 虜留旅 虜凌旅僚僚旅虜略 隆旅了流亮亮留留 侶 旅隆旅旅虜侶留, 侶 留凌僚凌亮溜留, 侶 留僚旅侶留 硫留侶 虜留旅 侶 粒虜劉僚侶 旅凌. 溜僚竜留旅 旅隆旅留溜竜侶 留僚留凌略 旅 凌虜了流竜旅 凌 留凌凌僚 侶僚 留留了侶凌侶侶 虜留旅 竜旅虜劉 隆留侶旅侶竜 粒旅留 侶僚 留僚旅亮竜ﾏ旅流 侶 亮竜 流侶 竜僚旅虜ﾎ 里. 凌竜溜僚凌僚留旅 虜留了劉 留虜旅虜劉 虜留旅 劉了凌 留凌旅略龍凌僚留旅 略竜旅 粒旅留 流侶 侶 留留粒粒旅虜流 里 侶僚 劉竜僚留. ]]>
留凌溜留侶 竜旅粒略竜旅 隆旅略凌竜 劉 粒旅留 侶 侶亮留溜留 侶 竜慮僚侶 劉竜僚留 侶僚 里竜僚侶流 凌侶亮凌僚侶 (里). 里凌僚溜龍竜留旅 侶 侶亮留溜留 侶 劉竜僚留 侶僚 里 虜留慮ﾏ 流隆侶 竜留亮龍竜留旅 竜 虜溜旅亮竜 竜留亮凌粒劉 侶 粒竜溜留 虜留旅 留凌略 了劉凌僚 竜隆僚 了竜 旅 竜旅侶亮凌僚旅虜劉 竜旅凌劉 劉留 留 侶僚 了侶凌凌旅虜流 虜留旅 旅 竜旅流亮竜 亮侶留僚旅虜凌. 留凌旅略龍凌僚留旅 硫留旅虜略 龍侶流亮留留 : 亮竜凌了侶溜留, 隆旅留略僚竜旅留, 留両旅凌旅溜留, 竜亮侶僚竜旅亮侶留 虜留旅 竜旅硫留了了凌僚旅虜 留凌亮留, 虜留慮ﾏ 虜留旅 侶慮旅虜略 虜留旅 虜凌旅僚僚旅虜略 隆旅了流亮亮留留 侶 旅隆旅旅虜侶留, 侶 留凌僚凌亮溜留, 侶 留僚旅侶留 硫留侶 虜留旅 侶 粒虜劉僚侶 旅凌. 溜僚竜留旅 旅隆旅留溜竜侶 留僚留凌略 旅 凌虜了流竜旅 凌 留凌凌僚 侶僚 留留了侶凌侶侶 虜留旅 竜旅虜劉 隆留侶旅侶竜 粒旅留 侶僚 留僚旅亮竜ﾏ旅流 侶 亮竜 流侶 竜僚旅虜ﾎ 里. 凌竜溜僚凌僚留旅 虜留了劉 留虜旅虜劉 虜留旅 劉了凌 留凌旅略龍凌僚留旅 略竜旅 粒旅留 流侶 侶 留留粒粒旅虜流 里 侶僚 劉竜僚留. ]]> Thu, 22 May 2025 05:56:41 GMT /slideshow/ss-9bb7/279506001 kompats@slideshare.net(kompats) 留了劉 留虜旅虜劉 虜留旅 凌了旅旅虜劉 粒旅留 侶僚 離竜慮僚侶 竜僚留 侶僚 里竜僚侶流 凌侶亮凌僚侶 kompats 留凌溜留侶 竜旅粒略竜旅 隆旅略凌竜 劉 粒旅留 侶 侶亮留溜留 侶 竜慮僚侶 劉竜僚留 侶僚 里竜僚侶流 凌侶亮凌僚侶 (里). 里凌僚溜龍竜留旅 侶 侶亮留溜留 侶 劉竜僚留 侶僚 里 虜留慮ﾏ 流隆侶 竜留亮龍竜留旅 竜 虜溜旅亮竜 竜留亮凌粒劉 侶 粒竜溜留 虜留旅 留凌略 了劉凌僚 竜隆僚 了竜 旅 竜旅侶亮凌僚旅虜劉 竜旅凌劉 劉留 留 侶僚 了侶凌凌旅虜流 虜留旅 旅 竜旅流亮竜 亮侶留僚旅虜凌. 留凌旅略龍凌僚留旅 硫留旅虜略 龍侶流亮留留 : 亮竜凌了侶溜留, 隆旅留略僚竜旅留, 留両旅凌旅溜留, 竜亮侶僚竜旅亮侶留 虜留旅 竜旅硫留了了凌僚旅虜 留凌亮留, 虜留慮ﾏ 虜留旅 侶慮旅虜略 虜留旅 虜凌旅僚僚旅虜略 隆旅了流亮亮留留 侶 旅隆旅旅虜侶留, 侶 留凌僚凌亮溜留, 侶 留僚旅侶留 硫留侶 虜留旅 侶 粒虜劉僚侶 旅凌. 溜僚竜留旅 旅隆旅留溜竜侶 留僚留凌略 旅 凌虜了流竜旅 凌 留凌凌僚 侶僚 留留了侶凌侶侶 虜留旅 竜旅虜劉 隆留侶旅侶竜 粒旅留 侶僚 留僚旅亮竜ﾏ旅流 侶 亮竜 流侶 竜僚旅虜ﾎ 里. 凌竜溜僚凌僚留旅 虜留了劉 留虜旅虜劉 虜留旅 劉了凌 留凌旅略龍凌僚留旅 略竜旅 粒旅留 流侶 侶 留留粒粒旅虜流 里 侶僚 劉竜僚留. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/random-250522055641-24565c4c-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 留凌溜留侶 竜旅粒略竜旅 隆旅略凌竜 劉 粒旅留 侶 侶亮留溜留 侶 竜慮僚侶 劉竜僚留 侶僚 里竜僚侶流 凌侶亮凌僚侶 (里). 里凌僚溜龍竜留旅 侶 侶亮留溜留 侶 劉竜僚留 侶僚 里 虜留慮ﾏ 流隆侶 竜留亮龍竜留旅 竜 虜溜旅亮竜 竜留亮凌粒劉 侶 粒竜溜留 虜留旅 留凌略 了劉凌僚 竜隆僚 了竜 旅 竜旅侶亮凌僚旅虜劉 竜旅凌劉 劉留 留 侶僚 了侶凌凌旅虜流 虜留旅 旅 竜旅流亮竜 亮侶留僚旅虜凌. 留凌旅略龍凌僚留旅 硫留旅虜略 龍侶流亮留留 : 亮竜凌了侶溜留, 隆旅留略僚竜旅留, 留両旅凌旅溜留, 竜亮侶僚竜旅亮侶留 虜留旅 竜旅硫留了了凌僚旅虜 留凌亮留, 虜留慮ﾏ 虜留旅 侶慮旅虜略 虜留旅 虜凌旅僚僚旅虜略 隆旅了流亮亮留留 侶 旅隆旅旅虜侶留, 侶 留凌僚凌亮溜留, 侶 留僚旅侶留 硫留侶 虜留旅 侶 粒虜劉僚侶 旅凌. 溜僚竜留旅 旅隆旅留溜竜侶 留僚留凌略 旅 凌虜了流竜旅 凌 留凌凌僚 侶僚 留留了侶凌侶侶 虜留旅 竜旅虜劉 隆留侶旅侶竜 粒旅留 侶僚 留僚旅亮竜ﾏ旅流 侶 亮竜 流侶 竜僚旅虜ﾎ 里. 凌竜溜僚凌僚留旅 虜留了劉 留虜旅虜劉 虜留旅 劉了凌 留凌旅略龍凌僚留旅 略竜旅 粒旅留 流侶 侶 留留粒粒旅虜流 里 侶僚 劉竜僚留.
留了劉 留虜旅虜劉 虜留旅 凌了旅旅虜劉 粒旅留 侶僚 離竜慮僚侶 竜僚留 侶僚 里竜僚侶流 凌侶亮凌僚侶 from Yiannis Kompatsiaris
]]> 46 0 https://cdn.slidesharecdn.com/ss_thumbnails/random-250522055641-24565c4c-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 From Research to Applications: What Can We Extract with Social Media Sensing? /slideshow/from-research-to-applications-what-can-we-extract-with-social-media-sensing/252193401 sigmapp2022final-220715113335-c684e3cd
SIGMAP22 Keynote Presentation: Social media have transformed the Web into an interactive sharing platform where users upload data and media, comment on, and share this content within their social circles. The large-scale availability of user-generated content in social media platforms has opened up new possibilities for studying and understanding real-world phenomena, trends and events. Social media and websites provide an access to public opinions on certain aspects and therefore play an important role in getting insights on targeted audiences. The objective of this talk is to provide an overview of social media mining, including key aspects such as data collection, multimodal analysis and visualization. Challenges, such as fighting misinformation, will be presented together with applications, results and demonstrations from multiple areas including: news, environment, security, interior and urban design.]]>
SIGMAP22 Keynote Presentation: Social media have transformed the Web into an interactive sharing platform where users upload data and media, comment on, and share this content within their social circles. The large-scale availability of user-generated content in social media platforms has opened up new possibilities for studying and understanding real-world phenomena, trends and events. Social media and websites provide an access to public opinions on certain aspects and therefore play an important role in getting insights on targeted audiences. The objective of this talk is to provide an overview of social media mining, including key aspects such as data collection, multimodal analysis and visualization. Challenges, such as fighting misinformation, will be presented together with applications, results and demonstrations from multiple areas including: news, environment, security, interior and urban design.]]> Fri, 15 Jul 2022 11:33:35 GMT /slideshow/from-research-to-applications-what-can-we-extract-with-social-media-sensing/252193401 kompats@slideshare.net(kompats) From Research to Applications: What Can We Extract with Social Media Sensing? kompats SIGMAP22 Keynote Presentation: Social media have transformed the Web into an interactive sharing platform where users upload data and media, comment on, and share this content within their social circles. The large-scale availability of user-generated content in social media platforms has opened up new possibilities for studying and understanding real-world phenomena, trends and events. Social media and websites provide an access to public opinions on certain aspects and therefore play an important role in getting insights on targeted audiences. The objective of this talk is to provide an overview of social media mining, including key aspects such as data collection, multimodal analysis and visualization. Challenges, such as fighting misinformation, will be presented together with applications, results and demonstrations from multiple areas including: news, environment, security, interior and urban design. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sigmapp2022final-220715113335-c684e3cd-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> SIGMAP22 Keynote Presentation: Social media have transformed the Web into an interactive sharing platform where users upload data and media, comment on, and share this content within their social circles. The large-scale availability of user-generated content in social media platforms has opened up new possibilities for studying and understanding real-world phenomena, trends and events. Social media and websites provide an access to public opinions on certain aspects and therefore play an important role in getting insights on targeted audiences. The objective of this talk is to provide an overview of social media mining, including key aspects such as data collection, multimodal analysis and visualization. Challenges, such as fighting misinformation, will be presented together with applications, results and demonstrations from multiple areas including: news, environment, security, interior and urban design.
From Research to Applications: What Can We Extract with Social Media Sensing? from Yiannis Kompatsiaris
]]> 41 0 https://cdn.slidesharecdn.com/ss_thumbnails/sigmapp2022final-220715113335-c684e3cd-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 AI4Media - European Leadership in Human-Centred Trustworthy AI session /slideshow/ai4media-european-leadership-in-humancentred-trustworthy-ai-session/240097224 ai4mediainnovationsummit-201214095514
12th European Innovation Summit]]>
12th European Innovation Summit]]> Mon, 14 Dec 2020 09:55:14 GMT /slideshow/ai4media-european-leadership-in-humancentred-trustworthy-ai-session/240097224 kompats@slideshare.net(kompats) AI4Media - European Leadership in Human-Centred Trustworthy AI session kompats 12th European Innovation Summit <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ai4mediainnovationsummit-201214095514-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 12th European Innovation Summit
AI4Media - European Leadership in Human-Centred Trustworthy AI session from Yiannis Kompatsiaris
]]> 664 0 https://cdn.slidesharecdn.com/ss_thumbnails/ai4mediainnovationsummit-201214095514-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Social media mining for sensing and responding to real-world trends and events /slideshow/social-media-mining-for-sensing-and-responding-to-realworld-trends-and-events/238642662 clef2020keynote-200925073044
Social media have transformed the Web into an interactive sharing platform where users upload data and media, comment on, and share this content within their social circles. The large-scale availability of user-generated content in social media platforms has opened up new possibilities for studying and understanding real-world phenomena, trends and events. The objective of this talk is to provide an overview of social media mining, which offers a unique opportunity to to discover, collect, and extract relevant information in order to provide useful insights. It will include key challenges and issues, such as fighting misinformation, data collection, analysis and visualization components, applications, results and demos from multiple areas ranging from news to environmental and security ones.]]>
Social media have transformed the Web into an interactive sharing platform where users upload data and media, comment on, and share this content within their social circles. The large-scale availability of user-generated content in social media platforms has opened up new possibilities for studying and understanding real-world phenomena, trends and events. The objective of this talk is to provide an overview of social media mining, which offers a unique opportunity to to discover, collect, and extract relevant information in order to provide useful insights. It will include key challenges and issues, such as fighting misinformation, data collection, analysis and visualization components, applications, results and demos from multiple areas ranging from news to environmental and security ones.]]> Fri, 25 Sep 2020 07:30:44 GMT /slideshow/social-media-mining-for-sensing-and-responding-to-realworld-trends-and-events/238642662 kompats@slideshare.net(kompats) Social media mining for sensing and responding to real-world trends and events kompats Social media have transformed the Web into an interactive sharing platform where users upload data and media, comment on, and share this content within their social circles. The large-scale availability of user-generated content in social media platforms has opened up new possibilities for studying and understanding real-world phenomena, trends and events. The objective of this talk is to provide an overview of social media mining, which offers a unique opportunity to to discover, collect, and extract relevant information in order to provide useful insights. It will include key challenges and issues, such as fighting misinformation, data collection, analysis and visualization components, applications, results and demos from multiple areas ranging from news to environmental and security ones. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/clef2020keynote-200925073044-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Social media have transformed the Web into an interactive sharing platform where users upload data and media, comment on, and share this content within their social circles. The large-scale availability of user-generated content in social media platforms has opened up new possibilities for studying and understanding real-world phenomena, trends and events. The objective of this talk is to provide an overview of social media mining, which offers a unique opportunity to to discover, collect, and extract relevant information in order to provide useful insights. It will include key challenges and issues, such as fighting misinformation, data collection, analysis and visualization components, applications, results and demos from multiple areas ranging from news to environmental and security ones.
Social media mining for sensing and responding to real-world trends and events from Yiannis Kompatsiaris
]]> 404 0 https://cdn.slidesharecdn.com/ss_thumbnails/clef2020keynote-200925073044-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Visual Information Analysis for Crisis and Natural Disasters Management and Response /slideshow/visual-information-analysis-for-crisis-and-natural-disasters-management-and-response/192320696 ipta2019presentationvisualinformationanalysisforcrisisandnaturaldisastersmanagementandresponsefinal-191111141529
Invited talk at the Ninth International Conference on Image Processing Theory, Tools and Applications IPTA 2019 (http://www.ipta-conference.com/ipta19/) Crises and natural disasters are unwelcome, but also unavoidable features of modern society, affecting more communities than ever. Visual information analysis plays an important role in efficient pre-event (e.g. risk modeling), during the event (response) and post-event (recovery) emergency situation management. This talk will describe the potential role of visual information sources including satellite images, surveillance and traffic cameras, social multimedia and aerial video in applications such as floods, fires, and oil spills. Multimodal and fusion techniques will be presented combining satellite and social data and how deep neural networks can be applied in this domain. The talks will include demos and results from the relevant BeAware and EOPEN projects and from our participation in the 2018 Multimedia Satellite Task of the MediaEval Benchmarking Initiative.]]>
Invited talk at the Ninth International Conference on Image Processing Theory, Tools and Applications IPTA 2019 (http://www.ipta-conference.com/ipta19/) Crises and natural disasters are unwelcome, but also unavoidable features of modern society, affecting more communities than ever. Visual information analysis plays an important role in efficient pre-event (e.g. risk modeling), during the event (response) and post-event (recovery) emergency situation management. This talk will describe the potential role of visual information sources including satellite images, surveillance and traffic cameras, social multimedia and aerial video in applications such as floods, fires, and oil spills. Multimodal and fusion techniques will be presented combining satellite and social data and how deep neural networks can be applied in this domain. The talks will include demos and results from the relevant BeAware and EOPEN projects and from our participation in the 2018 Multimedia Satellite Task of the MediaEval Benchmarking Initiative.]]> Mon, 11 Nov 2019 14:15:29 GMT /slideshow/visual-information-analysis-for-crisis-and-natural-disasters-management-and-response/192320696 kompats@slideshare.net(kompats) Visual Information Analysis for Crisis and Natural Disasters Management and Response kompats Invited talk at the Ninth International Conference on Image Processing Theory, Tools and Applications IPTA 2019 (http://www.ipta-conference.com/ipta19/) Crises and natural disasters are unwelcome, but also unavoidable features of modern society, affecting more communities than ever. Visual information analysis plays an important role in efficient pre-event (e.g. risk modeling), during the event (response) and post-event (recovery) emergency situation management. This talk will describe the potential role of visual information sources including satellite images, surveillance and traffic cameras, social multimedia and aerial video in applications such as floods, fires, and oil spills. Multimodal and fusion techniques will be presented combining satellite and social data and how deep neural networks can be applied in this domain. The talks will include demos and results from the relevant BeAware and EOPEN projects and from our participation in the 2018 Multimedia Satellite Task of the MediaEval Benchmarking Initiative. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ipta2019presentationvisualinformationanalysisforcrisisandnaturaldisastersmanagementandresponsefinal-191111141529-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Invited talk at the Ninth International Conference on Image Processing Theory, Tools and Applications IPTA 2019 (http://www.ipta-conference.com/ipta19/) Crises and natural disasters are unwelcome, but also unavoidable features of modern society, affecting more communities than ever. Visual information analysis plays an important role in efficient pre-event (e.g. risk modeling), during the event (response) and post-event (recovery) emergency situation management. This talk will describe the potential role of visual information sources including satellite images, surveillance and traffic cameras, social multimedia and aerial video in applications such as floods, fires, and oil spills. Multimodal and fusion techniques will be presented combining satellite and social data and how deep neural networks can be applied in this domain. The talks will include demos and results from the relevant BeAware and EOPEN projects and from our participation in the 2018 Multimedia Satellite Task of the MediaEval Benchmarking Initiative.
Visual Information Analysis for Crisis and Natural Disasters Management and Response from Yiannis Kompatsiaris
]]> 403 2 https://cdn.slidesharecdn.com/ss_thumbnails/ipta2019presentationvisualinformationanalysisforcrisisandnaturaldisastersmanagementandresponsefinal-191111141529-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Sensor Based Ambient Assisted Living /slideshow/sensor-based-ambient-assisted-living/145790357 mklabsensor-basedaal-elevit2019-final-190515132341
This is a presentation on Sensor Based Ambient Assisted Living architecture and approaches developed by the Multimedia Knowledge and Social Media Analytics Lab of CERTH-ITI. It includes sensors used for monitoring Activities of Daily Living of elders and persons with mild Dementia at home. Visual and sensor data analytics are combined with formal representations (ontology), fusion, reasoning techniques and visualizations in order to provide an objective view of everyday activities. Example projects and pilots are included. Clinical assessment show improvement in cognitive abilities of participants.]]>
This is a presentation on Sensor Based Ambient Assisted Living architecture and approaches developed by the Multimedia Knowledge and Social Media Analytics Lab of CERTH-ITI. It includes sensors used for monitoring Activities of Daily Living of elders and persons with mild Dementia at home. Visual and sensor data analytics are combined with formal representations (ontology), fusion, reasoning techniques and visualizations in order to provide an objective view of everyday activities. Example projects and pilots are included. Clinical assessment show improvement in cognitive abilities of participants.]]> Wed, 15 May 2019 13:23:41 GMT /slideshow/sensor-based-ambient-assisted-living/145790357 kompats@slideshare.net(kompats) Sensor Based Ambient Assisted Living kompats This is a presentation on Sensor Based Ambient Assisted Living architecture and approaches developed by the Multimedia Knowledge and Social Media Analytics Lab of CERTH-ITI. It includes sensors used for monitoring Activities of Daily Living of elders and persons with mild Dementia at home. Visual and sensor data analytics are combined with formal representations (ontology), fusion, reasoning techniques and visualizations in order to provide an objective view of everyday activities. Example projects and pilots are included. Clinical assessment show improvement in cognitive abilities of participants. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mklabsensor-basedaal-elevit2019-final-190515132341-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This is a presentation on Sensor Based Ambient Assisted Living architecture and approaches developed by the Multimedia Knowledge and Social Media Analytics Lab of CERTH-ITI. It includes sensors used for monitoring Activities of Daily Living of elders and persons with mild Dementia at home. Visual and sensor data analytics are combined with formal representations (ontology), fusion, reasoning techniques and visualizations in order to provide an objective view of everyday activities. Example projects and pilots are included. Clinical assessment show improvement in cognitive abilities of participants.
Sensor Based Ambient Assisted Living from Yiannis Kompatsiaris
]]> 385 4 https://cdn.slidesharecdn.com/ss_thumbnails/mklabsensor-basedaal-elevit2019-final-190515132341-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Social Media Analytics for Graph-Based Event Detection /slideshow/social-data-media-analytics-for-graphbased-event-detection/67497604 smap2016kompatsiarisweb-161021131236
The pervasive use of Online Social Networks (OSN) for networking, communication and search in tandem with the ubiquitous availability of smartphones, which enables real-time multimedia capturing and sharing, have led to massive amounts of user-generated content and activities being amassed online, and made publicly available for analysis and mining. Each content item is associated with an abundance of metadata and related information such as location, tags, comments, favorites and mood indicators, access logs, and so on. At the same time, all this information is implicitly or explicitly interconnected based on various properties such as social links among users, groups, communities, and sharing patterns. These properties transform social media into data sources of an extremely dynamic nature that reflect topics of interests, events, and the evolution of community opinion and focus. Social media processing offers a unique opportunity to structure and extract information and to benefit multiple areas ranging from new media experiences to psychology and marketing. The objective of this talk is to provide an overview of the current research in emerging topics related to applications where social media can act as sensors of real-life phenomena and case studies that reveal valuable insights. After discussing challenges and presenting a generic conceptual architecture, there will be a focus on efficient processing and indexing algorithms that can handle massive amounts of content with application to graph-based event detection and summarization in social media streams.]]>
The pervasive use of Online Social Networks (OSN) for networking, communication and search in tandem with the ubiquitous availability of smartphones, which enables real-time multimedia capturing and sharing, have led to massive amounts of user-generated content and activities being amassed online, and made publicly available for analysis and mining. Each content item is associated with an abundance of metadata and related information such as location, tags, comments, favorites and mood indicators, access logs, and so on. At the same time, all this information is implicitly or explicitly interconnected based on various properties such as social links among users, groups, communities, and sharing patterns. These properties transform social media into data sources of an extremely dynamic nature that reflect topics of interests, events, and the evolution of community opinion and focus. Social media processing offers a unique opportunity to structure and extract information and to benefit multiple areas ranging from new media experiences to psychology and marketing. The objective of this talk is to provide an overview of the current research in emerging topics related to applications where social media can act as sensors of real-life phenomena and case studies that reveal valuable insights. After discussing challenges and presenting a generic conceptual architecture, there will be a focus on efficient processing and indexing algorithms that can handle massive amounts of content with application to graph-based event detection and summarization in social media streams.]]> Fri, 21 Oct 2016 12:30:41 GMT /slideshow/social-data-media-analytics-for-graphbased-event-detection/67497604 kompats@slideshare.net(kompats) Social Media Analytics for Graph-Based Event Detection kompats The pervasive use of Online Social Networks (OSN) for networking, communication and search in tandem with the ubiquitous availability of smartphones, which enables real-time multimedia capturing and sharing, have led to massive amounts of user-generated content and activities being amassed online, and made publicly available for analysis and mining. Each content item is associated with an abundance of metadata and related information such as location, tags, comments, favorites and mood indicators, access logs, and so on. At the same time, all this information is implicitly or explicitly interconnected based on various properties such as social links among users, groups, communities, and sharing patterns. These properties transform social media into data sources of an extremely dynamic nature that reflect topics of interests, events, and the evolution of community opinion and focus. Social media processing offers a unique opportunity to structure and extract information and to benefit multiple areas ranging from new media experiences to psychology and marketing. The objective of this talk is to provide an overview of the current research in emerging topics related to applications where social media can act as sensors of real-life phenomena and case studies that reveal valuable insights. After discussing challenges and presenting a generic conceptual architecture, there will be a focus on efficient processing and indexing algorithms that can handle massive amounts of content with application to graph-based event detection and summarization in social media streams. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/smap2016kompatsiarisweb-161021131236-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The pervasive use of Online Social Networks (OSN) for networking, communication and search in tandem with the ubiquitous availability of smartphones, which enables real-time multimedia capturing and sharing, have led to massive amounts of user-generated content and activities being amassed online, and made publicly available for analysis and mining. Each content item is associated with an abundance of metadata and related information such as location, tags, comments, favorites and mood indicators, access logs, and so on. At the same time, all this information is implicitly or explicitly interconnected based on various properties such as social links among users, groups, communities, and sharing patterns. These properties transform social media into data sources of an extremely dynamic nature that reflect topics of interests, events, and the evolution of community opinion and focus. Social media processing offers a unique opportunity to structure and extract information and to benefit multiple areas ranging from new media experiences to psychology and marketing. The objective of this talk is to provide an overview of the current research in emerging topics related to applications where social media can act as sensors of real-life phenomena and case studies that reveal valuable insights. After discussing challenges and presenting a generic conceptual architecture, there will be a focus on efficient processing and indexing algorithms that can handle massive amounts of content with application to graph-based event detection and summarization in social media streams.
Social Media Analytics for Graph-Based Event Detection from Yiannis Kompatsiaris
]]> 1101 3 https://cdn.slidesharecdn.com/ss_thumbnails/smap2016kompatsiarisweb-161021131236-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Social Media Verification Challenges, Approaches and Applications /slideshow/social-media-verification-challenges-approaches-and-applications/66045264 insci2016kompatsiarisweb-160915062709
As grassroots and social media-based journalism becomes more widespread, the need to verify information coming from such channels becomes imperative. The objective of this talk is to explore the challenges involved in social media computational verification to automatically classify unreliable media content as fake or real. After presenting a generic conceptual architecture, there will be a focus on tweets around big events linking to images (fake or real) of which the reliability could be verified by independent online sources. The REVEALr platform will be demonstrated, a scalable and efficient content-based media crawling and indexing framework featuring a novel and resilient near-duplicate detection approach and intelligent content- and context-based aggregation capabilities (e.g. clustering, named entity extraction)]]>
As grassroots and social media-based journalism becomes more widespread, the need to verify information coming from such channels becomes imperative. The objective of this talk is to explore the challenges involved in social media computational verification to automatically classify unreliable media content as fake or real. After presenting a generic conceptual architecture, there will be a focus on tweets around big events linking to images (fake or real) of which the reliability could be verified by independent online sources. The REVEALr platform will be demonstrated, a scalable and efficient content-based media crawling and indexing framework featuring a novel and resilient near-duplicate detection approach and intelligent content- and context-based aggregation capabilities (e.g. clustering, named entity extraction)]]> Thu, 15 Sep 2016 06:27:09 GMT /slideshow/social-media-verification-challenges-approaches-and-applications/66045264 kompats@slideshare.net(kompats) Social Media Verification Challenges, Approaches and Applications kompats As grassroots and social media-based journalism becomes more widespread, the need to verify information coming from such channels becomes imperative. The objective of this talk is to explore the challenges involved in social media computational verification to automatically classify unreliable media content as fake or real. After presenting a generic conceptual architecture, there will be a focus on tweets around big events linking to images (fake or real) of which the reliability could be verified by independent online sources. The REVEALr platform will be demonstrated, a scalable and efficient content-based media crawling and indexing framework featuring a novel and resilient near-duplicate detection approach and intelligent content- and context-based aggregation capabilities (e.g. clustering, named entity extraction) <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/insci2016kompatsiarisweb-160915062709-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> As grassroots and social media-based journalism becomes more widespread, the need to verify information coming from such channels becomes imperative. The objective of this talk is to explore the challenges involved in social media computational verification to automatically classify unreliable media content as fake or real. After presenting a generic conceptual architecture, there will be a focus on tweets around big events linking to images (fake or real) of which the reliability could be verified by independent online sources. The REVEALr platform will be demonstrated, a scalable and efficient content-based media crawling and indexing framework featuring a novel and resilient near-duplicate detection approach and intelligent content- and context-based aggregation capabilities (e.g. clustering, named entity extraction)
Social Media Verification Challenges, Approaches and Applications from Yiannis Kompatsiaris
]]> 670 4 https://cdn.slidesharecdn.com/ss_thumbnails/insci2016kompatsiarisweb-160915062709-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Processing Large Complex Data /slideshow/processing-large-complex-data/52740196 s3p2015kompatsiaris-150914062249-lva1-app6892
Social Data and Multimedia Analytics for News and Events Applications lecture given at 2015 IEEE SPS Italy Chapter Summer School on Signal Processing (S3P)]]>
Social Data and Multimedia Analytics for News and Events Applications lecture given at 2015 IEEE SPS Italy Chapter Summer School on Signal Processing (S3P)]]> Mon, 14 Sep 2015 06:22:49 GMT /slideshow/processing-large-complex-data/52740196 kompats@slideshare.net(kompats) Processing Large Complex Data kompats Social Data and Multimedia Analytics for News and Events Applications lecture given at 2015 IEEE SPS Italy Chapter Summer School on Signal Processing (S3P) <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/s3p2015kompatsiaris-150914062249-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Social Data and Multimedia Analytics for News and Events Applications lecture given at 2015 IEEE SPS Italy Chapter Summer School on Signal Processing (S3P)
Processing Large Complex Data from Yiannis Kompatsiaris
]]> 1335 9 https://cdn.slidesharecdn.com/ss_thumbnails/s3p2015kompatsiaris-150914062249-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 The DemaWare Service-Oriented AAL Platform for People with Dementia /slideshow/aiam-netmed2014slides3/38962487 aiam-netmed2014-slides3-140911042813-phpapp01
This work presents DemaWare, an Ambient Intelligence platform that targets Ambient Assisted Living for people with Dementia. DemaWare seamlessly integrates diverse hardware (wearable and ambient sensors), as well as soft- ware components (semantic interpretation, reasoning), involved in such context. It also enables both online and offline processes, including sensor analysis and storage of context semantics in a Knowledge Base. Consequently, it orchestrates semantic interpretation which incorporated defeasible logics for uncertainty handling. Overall, the underlying functionality aids clinicians and carers to timely assess and diagnose patients in the context of lab trials, homes or nursing homes. ]]>
This work presents DemaWare, an Ambient Intelligence platform that targets Ambient Assisted Living for people with Dementia. DemaWare seamlessly integrates diverse hardware (wearable and ambient sensors), as well as soft- ware components (semantic interpretation, reasoning), involved in such context. It also enables both online and offline processes, including sensor analysis and storage of context semantics in a Knowledge Base. Consequently, it orchestrates semantic interpretation which incorporated defeasible logics for uncertainty handling. Overall, the underlying functionality aids clinicians and carers to timely assess and diagnose patients in the context of lab trials, homes or nursing homes. ]]> Thu, 11 Sep 2014 04:28:13 GMT /slideshow/aiam-netmed2014slides3/38962487 kompats@slideshare.net(kompats) The DemaWare Service-Oriented AAL Platform for People with Dementia kompats This work presents DemaWare, an Ambient Intelligence platform that targets Ambient Assisted Living for people with Dementia. DemaWare seamlessly integrates diverse hardware (wearable and ambient sensors), as well as soft- ware components (semantic interpretation, reasoning), involved in such context. It also enables both online and offline processes, including sensor analysis and storage of context semantics in a Knowledge Base. Consequently, it orchestrates semantic interpretation which incorporated defeasible logics for uncertainty handling. Overall, the underlying functionality aids clinicians and carers to timely assess and diagnose patients in the context of lab trials, homes or nursing homes. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/aiam-netmed2014-slides3-140911042813-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This work presents DemaWare, an Ambient Intelligence platform that targets Ambient Assisted Living for people with Dementia. DemaWare seamlessly integrates diverse hardware (wearable and ambient sensors), as well as soft- ware components (semantic interpretation, reasoning), involved in such context. It also enables both online and offline processes, including sensor analysis and storage of context semantics in a Knowledge Base. Consequently, it orchestrates semantic interpretation which incorporated defeasible logics for uncertainty handling. Overall, the underlying functionality aids clinicians and carers to timely assess and diagnose patients in the context of lab trials, homes or nursing homes.
The DemaWare Service-Oriented AAL Platform for People with Dementia from Yiannis Kompatsiaris
]]> 2572 3 https://cdn.slidesharecdn.com/ss_thumbnails/aiam-netmed2014-slides3-140911042813-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Vision about Social Networks Content Exploitation (EC Concertation meeting) /slideshow/vision-content-exploitation-kompatsiaris/36326903 visioncontentexploitationkompatsiaris-140626035438-phpapp01
Vision about Social Networks and other types of Content exploitation presented in G1 unit concertation meeting in Brussels, June 25th 2014.]]>
Vision about Social Networks and other types of Content exploitation presented in G1 unit concertation meeting in Brussels, June 25th 2014.]]> Thu, 26 Jun 2014 03:54:38 GMT /slideshow/vision-content-exploitation-kompatsiaris/36326903 kompats@slideshare.net(kompats) Vision about Social Networks Content Exploitation (EC Concertation meeting) kompats Vision about Social Networks and other types of Content exploitation presented in G1 unit concertation meeting in Brussels, June 25th 2014. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/visioncontentexploitationkompatsiaris-140626035438-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Vision about Social Networks and other types of Content exploitation presented in G1 unit concertation meeting in Brussels, June 25th 2014.
Vision about Social Networks Content Exploitation (EC Concertation meeting) from Yiannis Kompatsiaris
]]> 554 2 https://cdn.slidesharecdn.com/ss_thumbnails/visioncontentexploitationkompatsiaris-140626035438-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Dem@care Project Short Overview /slideshow/demcare-project-short-overview/34617091 demcareoverview3slides-140513071707-phpapp02
A short overview of the Dem@Care project on multi足-parametric monitoring for timely assessment and self足-independence of people with dementia]]>
A short overview of the Dem@Care project on multi足-parametric monitoring for timely assessment and self足-independence of people with dementia]]> Tue, 13 May 2014 07:17:07 GMT /slideshow/demcare-project-short-overview/34617091 kompats@slideshare.net(kompats) Dem@care Project Short Overview kompats A short overview of the Dem@Care project on multi足-parametric monitoring for timely assessment and self足-independence of people with dementia <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/demcareoverview3slides-140513071707-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> A short overview of the Dem@Care project on multi足-parametric monitoring for timely assessment and self足-independence of people with dementia
Dem@care Project Short Overview from Yiannis Kompatsiaris
]]> 621 4 https://cdn.slidesharecdn.com/ss_thumbnails/demcareoverview3slides-140513071707-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Social Media Crawling and Mining Seminar (Motivation Part) /slideshow/social-media-crawling-and-mining-seminar-motivation-part/34470328 social-media-crawling-mining-seminar-motivation-140509020458-phpapp02
]]>
]]> Fri, 09 May 2014 02:04:58 GMT /slideshow/social-media-crawling-and-mining-seminar-motivation-part/34470328 kompats@slideshare.net(kompats) Social Media Crawling and Mining Seminar (Motivation Part) kompats <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/social-media-crawling-mining-seminar-motivation-140509020458-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Social Media Crawling and Mining Seminar (Motivation Part) from Yiannis Kompatsiaris
]]> 1020 4 https://cdn.slidesharecdn.com/ss_thumbnails/social-media-crawling-mining-seminar-motivation-140509020458-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 "旅留 了侶 留 凌 亮劉了了凌僚": 凌 凌了溜侶 亮凌竜溜 僚留 粒溜僚竜旅 亮亮劉凌凌 亮劉 侶 流侶 侶 竜僚凌了凌粒溜留 /slideshow/presentation16-9/34326951 presentation16-9-140506032944-phpapp01
留凌旅略龍凌僚留旅 留留隆竜溜粒亮留留 虜留旅 留凌竜了劉亮留留 凌 粒留侶溜凌 僚ﾏ侶, 凌了亮劉僚 虜留旅 僚略了侶 凌旅僚僚旅虜ﾎ 旅虜僚 凌 里-里 (http://mklab.iti.gr) 凌 留凌凌僚 竜留亮凌粒劉 凌 凌侶溜龍凌僚 侶 亮亮竜凌流 僚 凌了旅ﾎ 竜 凌亮竜溜 : 凌-凌粒略僚侶 竜慮竜了凌僚旅虜ﾎ 虜旅僚侶亮略僚, 裡了了凌粒旅虜流 虜留留粒留流 凌硫了侶亮略僚, 裡亮亮竜凌流 侶 隆旅留竜溜旅侶 凌硫了侶亮略僚 虜留旅 隆侶亮凌溜凌 ﾏ凌, 裡竜隆旅留亮 竜 亮竜了了凌僚旅虜劉 隆略竜旅 虜留旅 劉粒留 侶僚 了侶. 留凌溜留侶 隆慮侶虜竜 留 了留溜旅留 凌 僚竜隆溜凌 "旅留 了侶 留 凌 亮劉了了凌僚", 凌 隆旅凌粒留僚ﾎ故稽採 留 侶僚 留略了了留両侶: http://www.parallaximag.gr/parallax-view/elate-na-deite-mia-poli-apo-mellon]]>
留凌旅略龍凌僚留旅 留留隆竜溜粒亮留留 虜留旅 留凌竜了劉亮留留 凌 粒留侶溜凌 僚ﾏ侶, 凌了亮劉僚 虜留旅 僚略了侶 凌旅僚僚旅虜ﾎ 旅虜僚 凌 里-里 (http://mklab.iti.gr) 凌 留凌凌僚 竜留亮凌粒劉 凌 凌侶溜龍凌僚 侶 亮亮竜凌流 僚 凌了旅ﾎ 竜 凌亮竜溜 : 凌-凌粒略僚侶 竜慮竜了凌僚旅虜ﾎ 虜旅僚侶亮略僚, 裡了了凌粒旅虜流 虜留留粒留流 凌硫了侶亮略僚, 裡亮亮竜凌流 侶 隆旅留竜溜旅侶 凌硫了侶亮略僚 虜留旅 隆侶亮凌溜凌 ﾏ凌, 裡竜隆旅留亮 竜 亮竜了了凌僚旅虜劉 隆略竜旅 虜留旅 劉粒留 侶僚 了侶. 留凌溜留侶 隆慮侶虜竜 留 了留溜旅留 凌 僚竜隆溜凌 "旅留 了侶 留 凌 亮劉了了凌僚", 凌 隆旅凌粒留僚ﾎ故稽採 留 侶僚 留略了了留両侶: http://www.parallaximag.gr/parallax-view/elate-na-deite-mia-poli-apo-mellon]]> Tue, 06 May 2014 03:29:44 GMT /slideshow/presentation16-9/34326951 kompats@slideshare.net(kompats) "旅留 了侶 留 凌 亮劉了了凌僚": 凌 凌了溜侶 亮凌竜溜 僚留 粒溜僚竜旅 亮亮劉凌凌 亮劉 侶 流侶 侶 竜僚凌了凌粒溜留 kompats 留凌旅略龍凌僚留旅 留留隆竜溜粒亮留留 虜留旅 留凌竜了劉亮留留 凌 粒留侶溜凌 僚ﾏ侶, 凌了亮劉僚 虜留旅 僚略了侶 凌旅僚僚旅虜ﾎ 旅虜僚 凌 里-里 (http://mklab.iti.gr) 凌 留凌凌僚 竜留亮凌粒劉 凌 凌侶溜龍凌僚 侶 亮亮竜凌流 僚 凌了旅ﾎ 竜 凌亮竜溜 : 凌-凌粒略僚侶 竜慮竜了凌僚旅虜ﾎ 虜旅僚侶亮略僚, 裡了了凌粒旅虜流 虜留留粒留流 凌硫了侶亮略僚, 裡亮亮竜凌流 侶 隆旅留竜溜旅侶 凌硫了侶亮略僚 虜留旅 隆侶亮凌溜凌 ﾏ凌, 裡竜隆旅留亮 竜 亮竜了了凌僚旅虜劉 隆略竜旅 虜留旅 劉粒留 侶僚 了侶. 留凌溜留侶 隆慮侶虜竜 留 了留溜旅留 凌 僚竜隆溜凌 "旅留 了侶 留 凌 亮劉了了凌僚", 凌 隆旅凌粒留僚ﾎ故稽採 留 侶僚 留略了了留両侶: http://www.parallaximag.gr/parallax-view/elate-na-deite-mia-poli-apo-mellon <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/presentation16-9-140506032944-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 留凌旅略龍凌僚留旅 留留隆竜溜粒亮留留 虜留旅 留凌竜了劉亮留留 凌 粒留侶溜凌 僚ﾏ侶, 凌了亮劉僚 虜留旅 僚略了侶 凌旅僚僚旅虜ﾎ 旅虜僚 凌 里-里 (http://mklab.iti.gr) 凌 留凌凌僚 竜留亮凌粒劉 凌 凌侶溜龍凌僚 侶 亮亮竜凌流 僚 凌了旅ﾎ 竜 凌亮竜溜 : 凌-凌粒略僚侶 竜慮竜了凌僚旅虜ﾎ 虜旅僚侶亮略僚, 裡了了凌粒旅虜流 虜留留粒留流 凌硫了侶亮略僚, 裡亮亮竜凌流 侶 隆旅留竜溜旅侶 凌硫了侶亮略僚 虜留旅 隆侶亮凌溜凌 ﾏ凌, 裡竜隆旅留亮 竜 亮竜了了凌僚旅虜劉 隆略竜旅 虜留旅 劉粒留 侶僚 了侶. 留凌溜留侶 隆慮侶虜竜 留 了留溜旅留 凌 僚竜隆溜凌 &quot;旅留 了侶 留 凌 亮劉了了凌僚&quot;, 凌 隆旅凌粒留僚ﾎ故稽採 留 侶僚 留略了了留両侶: http://www.parallaximag.gr/parallax-view/elate-na-deite-mia-poli-apo-mellon
"旅留 了侶 留 凌 亮劉了了凌僚": 凌 凌了溜侶 亮凌竜溜 僚留 粒溜僚竜旅 亮亮劉凌凌 亮劉 侶 流侶 侶 竜僚凌了凌粒溜留 from Yiannis Kompatsiaris
]]> 701 2 https://cdn.slidesharecdn.com/ss_thumbnails/presentation16-9-140506032944-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Social Data and Multimedia Analytics for News and Events Applications /slideshow/social-data-and-multimedia-analytics-for-news-and-events-applications/32934154 msdm2014final-140331060939-phpapp01
The keynote discusses a framework enabling real-time multimedia indexing and search across multiple social media sources. It places particular emphasis on the real-time, social and contextual nature of content and information consumption in order to integrate topic and event detection, mining, search and retrieval, based on aggregation and indexing of shared user-generated multimedia content. User-friendly applications for the News and Events domains have been developed based on these approaches, incorporating novel user-centric media visualisation and browsing methods. The research and development is part of the FP7 EU project SocialSensor. Content: Introduction Motivation Challenges SocialSensor Project and Use Cases Research Approaches Large-Scale visual search Clustering Verification Demos Applications MM News Demo Clusttour Thessfest Conclusions]]>
The keynote discusses a framework enabling real-time multimedia indexing and search across multiple social media sources. It places particular emphasis on the real-time, social and contextual nature of content and information consumption in order to integrate topic and event detection, mining, search and retrieval, based on aggregation and indexing of shared user-generated multimedia content. User-friendly applications for the News and Events domains have been developed based on these approaches, incorporating novel user-centric media visualisation and browsing methods. The research and development is part of the FP7 EU project SocialSensor. Content: Introduction Motivation Challenges SocialSensor Project and Use Cases Research Approaches Large-Scale visual search Clustering Verification Demos Applications MM News Demo Clusttour Thessfest Conclusions]]> Mon, 31 Mar 2014 06:09:39 GMT /slideshow/social-data-and-multimedia-analytics-for-news-and-events-applications/32934154 kompats@slideshare.net(kompats) Social Data and Multimedia Analytics for News and Events Applications kompats The keynote discusses a framework enabling real-time multimedia indexing and search across multiple social media sources. It places particular emphasis on the real-time, social and contextual nature of content and information consumption in order to integrate topic and event detection, mining, search and retrieval, based on aggregation and indexing of shared user-generated multimedia content. User-friendly applications for the News and Events domains have been developed based on these approaches, incorporating novel user-centric media visualisation and browsing methods. The research and development is part of the FP7 EU project SocialSensor. Content: Introduction Motivation Challenges SocialSensor Project and Use Cases Research Approaches Large-Scale visual search Clustering Verification Demos Applications MM News Demo Clusttour Thessfest Conclusions <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/msdm2014final-140331060939-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The keynote discusses a framework enabling real-time multimedia indexing and search across multiple social media sources. It places particular emphasis on the real-time, social and contextual nature of content and information consumption in order to integrate topic and event detection, mining, search and retrieval, based on aggregation and indexing of shared user-generated multimedia content. User-friendly applications for the News and Events domains have been developed based on these approaches, incorporating novel user-centric media visualisation and browsing methods. The research and development is part of the FP7 EU project SocialSensor. Content: Introduction Motivation Challenges SocialSensor Project and Use Cases Research Approaches Large-Scale visual search Clustering Verification Demos Applications MM News Demo Clusttour Thessfest Conclusions
Social Data and Multimedia Analytics for News and Events Applications from Yiannis Kompatsiaris
]]> 1217 3 https://cdn.slidesharecdn.com/ss_thumbnails/msdm2014final-140331060939-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 里竜僚旅虜劉 僚留粒僚ﾏ旅侶 凌僚 虜留旅 侶留僚旅虜流 略慮侶侶 粒旅留 留亮凌粒劉 僚略了侶 凌了亮劉僚 /slideshow/final-30254103/30254103 final-140121074722-phpapp01
凌亮旅了溜留 竜旅了留亮硫略僚竜旅 竜留亮凌粒劉 竜僚旅虜ﾎ 留僚留粒僚ﾏ旅侶 凌僚 虜留旅 亮侶留僚旅虜流 亮略慮侶侶 竜 留僚略了侶 凌了亮劉僚 虜留旅 虜凌旅僚僚旅虜ﾎ 隆旅虜僚. 旅凌 粒虜竜虜旅亮劉僚留, 慮留 留凌旅留凌僚 竜僚旅虜劉 虜留旅 竜留亮凌粒劉 虜留略亮侶侶 竜旅虜僚僚 亮竜 流侶 -劉僚 虜留旅 竜竜虜略竜僚, 流侶 Support Vector Ma-chines 粒旅留 亮略慮侶侶 竜僚僚凌旅ﾎ 竜 竜旅虜僚竜 虜留慮ﾏ 虜留旅 竜僚旅虜劉 留僚略了侶 粒略僚 留 虜凌旅僚僚旅虜略 隆溜虜留. 留 留凌旅留凌僚 竜旅虜劉 竜留亮凌粒劉 凌 留両旅凌凌旅凌僚 留 留凌竜了劉亮留留 侶 留僚略了侶, 留僚留龍流侶侶 凌了亮劉僚 虜留旅 竜留亮凌粒流 粒旅留 凌旅亮 虜留旅 竜僚侶亮劉侶 留 虜凌旅僚僚旅虜略 隆溜虜留. 留 留僚留竜慮凌僚 劉凌僚留 竜竜僚侶旅虜略 凌硫了流亮留留 虜留旅 竜旅凌劉.]]>
凌亮旅了溜留 竜旅了留亮硫略僚竜旅 竜留亮凌粒劉 竜僚旅虜ﾎ 留僚留粒僚ﾏ旅侶 凌僚 虜留旅 亮侶留僚旅虜流 亮略慮侶侶 竜 留僚略了侶 凌了亮劉僚 虜留旅 虜凌旅僚僚旅虜ﾎ 隆旅虜僚. 旅凌 粒虜竜虜旅亮劉僚留, 慮留 留凌旅留凌僚 竜僚旅虜劉 虜留旅 竜留亮凌粒劉 虜留略亮侶侶 竜旅虜僚僚 亮竜 流侶 -劉僚 虜留旅 竜竜虜略竜僚, 流侶 Support Vector Ma-chines 粒旅留 亮略慮侶侶 竜僚僚凌旅ﾎ 竜 竜旅虜僚竜 虜留慮ﾏ 虜留旅 竜僚旅虜劉 留僚略了侶 粒略僚 留 虜凌旅僚僚旅虜略 隆溜虜留. 留 留凌旅留凌僚 竜旅虜劉 竜留亮凌粒劉 凌 留両旅凌凌旅凌僚 留 留凌竜了劉亮留留 侶 留僚略了侶, 留僚留龍流侶侶 凌了亮劉僚 虜留旅 竜留亮凌粒流 粒旅留 凌旅亮 虜留旅 竜僚侶亮劉侶 留 虜凌旅僚僚旅虜略 隆溜虜留. 留 留僚留竜慮凌僚 劉凌僚留 竜竜僚侶旅虜略 凌硫了流亮留留 虜留旅 竜旅凌劉.]]> Tue, 21 Jan 2014 07:47:22 GMT /slideshow/final-30254103/30254103 kompats@slideshare.net(kompats) 里竜僚旅虜劉 僚留粒僚ﾏ旅侶 凌僚 虜留旅 侶留僚旅虜流 略慮侶侶 粒旅留 留亮凌粒劉 僚略了侶 凌了亮劉僚 kompats 凌亮旅了溜留 竜旅了留亮硫略僚竜旅 竜留亮凌粒劉 竜僚旅虜ﾎ 留僚留粒僚ﾏ旅侶 凌僚 虜留旅 亮侶留僚旅虜流 亮略慮侶侶 竜 留僚略了侶 凌了亮劉僚 虜留旅 虜凌旅僚僚旅虜ﾎ 隆旅虜僚. 旅凌 粒虜竜虜旅亮劉僚留, 慮留 留凌旅留凌僚 竜僚旅虜劉 虜留旅 竜留亮凌粒劉 虜留略亮侶侶 竜旅虜僚僚 亮竜 流侶 -劉僚 虜留旅 竜竜虜略竜僚, 流侶 Support Vector Ma-chines 粒旅留 亮略慮侶侶 竜僚僚凌旅ﾎ 竜 竜旅虜僚竜 虜留慮ﾏ 虜留旅 竜僚旅虜劉 留僚略了侶 粒略僚 留 虜凌旅僚僚旅虜略 隆溜虜留. 留 留凌旅留凌僚 竜旅虜劉 竜留亮凌粒劉 凌 留両旅凌凌旅凌僚 留 留凌竜了劉亮留留 侶 留僚略了侶, 留僚留龍流侶侶 凌了亮劉僚 虜留旅 竜留亮凌粒流 粒旅留 凌旅亮 虜留旅 竜僚侶亮劉侶 留 虜凌旅僚僚旅虜略 隆溜虜留. 留 留僚留竜慮凌僚 劉凌僚留 竜竜僚侶旅虜略 凌硫了流亮留留 虜留旅 竜旅凌劉. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/final-140121074722-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 凌亮旅了溜留 竜旅了留亮硫略僚竜旅 竜留亮凌粒劉 竜僚旅虜ﾎ 留僚留粒僚ﾏ旅侶 凌僚 虜留旅 亮侶留僚旅虜流 亮略慮侶侶 竜 留僚略了侶 凌了亮劉僚 虜留旅 虜凌旅僚僚旅虜ﾎ 隆旅虜僚. 旅凌 粒虜竜虜旅亮劉僚留, 慮留 留凌旅留凌僚 竜僚旅虜劉 虜留旅 竜留亮凌粒劉 虜留略亮侶侶 竜旅虜僚僚 亮竜 流侶 -劉僚 虜留旅 竜竜虜略竜僚, 流侶 Support Vector Ma-chines 粒旅留 亮略慮侶侶 竜僚僚凌旅ﾎ 竜 竜旅虜僚竜 虜留慮ﾏ 虜留旅 竜僚旅虜劉 留僚略了侶 粒略僚 留 虜凌旅僚僚旅虜略 隆溜虜留. 留 留凌旅留凌僚 竜旅虜劉 竜留亮凌粒劉 凌 留両旅凌凌旅凌僚 留 留凌竜了劉亮留留 侶 留僚略了侶, 留僚留龍流侶侶 凌了亮劉僚 虜留旅 竜留亮凌粒流 粒旅留 凌旅亮 虜留旅 竜僚侶亮劉侶 留 虜凌旅僚僚旅虜略 隆溜虜留. 留 留僚留竜慮凌僚 劉凌僚留 竜竜僚侶旅虜略 凌硫了流亮留留 虜留旅 竜旅凌劉.
里竜僚旅虜劉 僚留粒僚ﾏ旅侶 凌僚 虜留旅 侶留僚旅虜流 略慮侶侶 粒旅留 留亮凌粒劉 僚略了侶 凌了亮劉僚 from Yiannis Kompatsiaris
]]> 383 5 https://cdn.slidesharecdn.com/ss_thumbnails/final-140121074722-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 僚凌旅留 凌 溜旅: 里竜僚凌了凌粒溜竜 粒旅留 留留虜凌了凌慮侶侶 留 留留侶 虜留旅 留僚竜両略侶侶 隆旅留硫溜侶 /slideshow/ss-28960853/28960853 hmeridainnovage-131206064616-phpapp02
僚凌旅留 凌 溜旅: 里竜僚凌了凌粒溜竜 粒旅留 留留虜凌了凌慮侶侶 留 留留侶 虜留旅 留僚竜両略侶侶 隆旅留硫溜侶. 竜旅粒留流 劉粒凌 Dem@Care]]>
僚凌旅留 凌 溜旅: 里竜僚凌了凌粒溜竜 粒旅留 留留虜凌了凌慮侶侶 留 留留侶 虜留旅 留僚竜両略侶侶 隆旅留硫溜侶. 竜旅粒留流 劉粒凌 Dem@Care]]> Fri, 06 Dec 2013 06:46:16 GMT /slideshow/ss-28960853/28960853 kompats@slideshare.net(kompats) 僚凌旅留 凌 溜旅: 里竜僚凌了凌粒溜竜 粒旅留 留留虜凌了凌慮侶侶 留 留留侶 虜留旅 留僚竜両略侶侶 隆旅留硫溜侶 kompats 僚凌旅留 凌 溜旅: 里竜僚凌了凌粒溜竜 粒旅留 留留虜凌了凌慮侶侶 留 留留侶 虜留旅 留僚竜両略侶侶 隆旅留硫溜侶. 竜旅粒留流 劉粒凌 Dem@Care <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/hmeridainnovage-131206064616-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 僚凌旅留 凌 溜旅: 里竜僚凌了凌粒溜竜 粒旅留 留留虜凌了凌慮侶侶 留 留留侶 虜留旅 留僚竜両略侶侶 隆旅留硫溜侶. 竜旅粒留流 劉粒凌 Dem@Care
僚凌旅留 凌 溜旅: 里竜僚凌了凌粒溜竜 粒旅留 留留虜凌了凌慮侶侶 留 留留侶 虜留旅 留僚竜両略侶侶 隆旅留硫溜侶 from Yiannis Kompatsiaris
]]> 469 2 https://cdn.slidesharecdn.com/ss_thumbnails/hmeridainnovage-131206064616-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 SocialSensor Project: Sensing User Generated Input for Improved Media Discovery and Experience - Social Multimedia Crawling & Mining - EventSense: Capturing the Pulse of Large-scale Events by Mining Social Media Streams /slideshow/socialsensor-project-sensing-user-generated-input-for-improved-media-discovery-and-experience-social-multimedia-crawling-mining-eventsense-capturing-the-pulse-of-largescale-events-by-mining-social-media-streams/23785585 socialsensorsamos2013-130702084238-phpapp01
SocialSensor: Sensing User Generated Input for Improved Media Discovery and Experience Social Multimedia Crawling & Mining EventSense: Capturing the Pulse of Large-scale Events by Mining Social Media Streams ]]>
SocialSensor: Sensing User Generated Input for Improved Media Discovery and Experience Social Multimedia Crawling & Mining EventSense: Capturing the Pulse of Large-scale Events by Mining Social Media Streams ]]> Tue, 02 Jul 2013 08:42:38 GMT /slideshow/socialsensor-project-sensing-user-generated-input-for-improved-media-discovery-and-experience-social-multimedia-crawling-mining-eventsense-capturing-the-pulse-of-largescale-events-by-mining-social-media-streams/23785585 kompats@slideshare.net(kompats) SocialSensor Project: Sensing User Generated Input for Improved Media Discovery and Experience - Social Multimedia Crawling & Mining - EventSense: Capturing the Pulse of Large-scale Events by Mining Social Media Streams kompats SocialSensor: Sensing User Generated Input for Improved Media Discovery and Experience Social Multimedia Crawling & Mining EventSense: Capturing the Pulse of Large-scale Events by Mining Social Media Streams鐃 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/socialsensorsamos2013-130702084238-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> SocialSensor: Sensing User Generated Input for Improved Media Discovery and Experience Social Multimedia Crawling &amp; Mining EventSense: Capturing the Pulse of Large-scale Events by Mining Social Media Streams鐃
SocialSensor Project: Sensing User Generated Input for Improved Media Discovery and Experience - Social Multimedia Crawling & Mining - EventSense: Capturing the Pulse of Large-scale Events by Mining Social Media Streams from Yiannis Kompatsiaris
]]> 1354 5 https://cdn.slidesharecdn.com/ss_thumbnails/socialsensorsamos2013-130702084238-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Improve My City: App for Citizens Reporting Issues in Municipalities Regions /slideshow/improve-my-city-app-for-citizens-reporting-issues-in-municipalities-regions/16220751 imcsofia-130128103627-phpapp02
The application enables citizens to report local problems such as potholes, illegal trash dumping, faulty street lights, broken tiles on sidewalks, and illegal advertising boards. The submitted issues are displayed on the city's map. Users may add photos and comments. Moreover, they can suggest solutions for improving the environment of their neighbourhood.]]>
The application enables citizens to report local problems such as potholes, illegal trash dumping, faulty street lights, broken tiles on sidewalks, and illegal advertising boards. The submitted issues are displayed on the city's map. Users may add photos and comments. Moreover, they can suggest solutions for improving the environment of their neighbourhood.]]> Mon, 28 Jan 2013 10:36:27 GMT /slideshow/improve-my-city-app-for-citizens-reporting-issues-in-municipalities-regions/16220751 kompats@slideshare.net(kompats) Improve My City: App for Citizens Reporting Issues in Municipalities Regions kompats The application enables citizens to report local problems such as potholes, illegal trash dumping, faulty street lights, broken tiles on sidewalks, and illegal advertising boards. The submitted issues are displayed on the city's map. Users may add photos and comments. Moreover, they can suggest solutions for improving the environment of their neighbourhood. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/imcsofia-130128103627-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The application enables citizens to report local problems such as potholes, illegal trash dumping, faulty street lights, broken tiles on sidewalks, and illegal advertising boards. The submitted issues are displayed on the city&#39;s map. Users may add photos and comments. Moreover, they can suggest solutions for improving the environment of their neighbourhood.
Improve My City: App for Citizens Reporting Issues in Municipalities Regions from Yiannis Kompatsiaris
]]> 2294 3 https://cdn.slidesharecdn.com/ss_thumbnails/imcsofia-130128103627-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-kompats-48x48.jpg?cb=1747893354 mklab.iti.gr https://cdn.slidesharecdn.com/ss_thumbnails/disinformation-integritry2024-public-250522154819-388a1677-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/ai-against-disinformation-and-why-it-is-not-enough-067c/279527665 AI against disinformat... https://cdn.slidesharecdn.com/ss_thumbnails/random-250522055641-24565c4c-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/ss-9bb7/279506001 留了劉 留虜旅虜劉 虜留旅 凌... https://cdn.slidesharecdn.com/ss_thumbnails/sigmapp2022final-220715113335-c684e3cd-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/from-research-to-applications-what-can-we-extract-with-social-media-sensing/252193401 From Research to Appli...