際際滷shows by User: MikolajLeszczuk / http://www.slideshare.net/images/logo.gif 際際滷shows by User: MikolajLeszczuk / Tue, 18 Oct 2022 12:29:52 GMT 際際滷Share feed for 際際滷shows by User: MikolajLeszczuk Selected Aspects of the New Recommendation on Subjective Methods of Assessing Video Quality in Recognition Tasks.pptx /slideshow/selected-aspects-of-the-new-recommendation-on-subjective-methods-of-assessing-video-quality-in-recognition-taskspptx/253677572 selectedaspectsofthenewrecommendationonsubjectivemethodsofassessingvideoqualityinrecognitiontasks-221018122952-5442960b
It was once thought that high QoS (Quality of Service) performance solves recurrent problems of low-quality multimedia services. Since then, solutions have been proposed to ensure a high level of QoE (Quality of Experience). In this document, the authors attempt to outline his understanding of an accurate meaning of quality of multimedia services. Starting from QoS and passing through generalised QoE, the authors focus on aspects of subjective and objective quality modelling and optimisation of visual performance for TRV (Target Recognition Video) applications (such as video surveillance), outlining the path of ITU-T standardisation in this area. The authors revised the ITU-T Recommendation P.912 to reflect improved subjective test techniques developed since this Recommendation was approved. The authors also attempt to predict at least some existing errors of reasoning, which are likely to become evident for the industry in the next decade.]]>
It was once thought that high QoS (Quality of Service) performance solves recurrent problems of low-quality multimedia services. Since then, solutions have been proposed to ensure a high level of QoE (Quality of Experience). In this document, the authors attempt to outline his understanding of an accurate meaning of quality of multimedia services. Starting from QoS and passing through generalised QoE, the authors focus on aspects of subjective and objective quality modelling and optimisation of visual performance for TRV (Target Recognition Video) applications (such as video surveillance), outlining the path of ITU-T standardisation in this area. The authors revised the ITU-T Recommendation P.912 to reflect improved subjective test techniques developed since this Recommendation was approved. The authors also attempt to predict at least some existing errors of reasoning, which are likely to become evident for the industry in the next decade.]]> Tue, 18 Oct 2022 12:29:52 GMT /slideshow/selected-aspects-of-the-new-recommendation-on-subjective-methods-of-assessing-video-quality-in-recognition-taskspptx/253677572 MikolajLeszczuk@slideshare.net(MikolajLeszczuk) Selected Aspects of the New Recommendation on Subjective Methods of Assessing Video Quality in Recognition Tasks.pptx MikolajLeszczuk It was once thought that high QoS (Quality of Service) performance solves recurrent problems of low-quality multimedia services. Since then, solutions have been proposed to ensure a high level of QoE (Quality of Experience). In this document, the authors attempt to outline his understanding of an accurate meaning of quality of multimedia services. Starting from QoS and passing through generalised QoE, the authors focus on aspects of subjective and objective quality modelling and optimisation of visual performance for TRV (Target Recognition Video) applications (such as video surveillance), outlining the path of ITU-T standardisation in this area. The authors revised the ITU-T Recommendation P.912 to reflect improved subjective test techniques developed since this Recommendation was approved. The authors also attempt to predict at least some existing errors of reasoning, which are likely to become evident for the industry in the next decade. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/selectedaspectsofthenewrecommendationonsubjectivemethodsofassessingvideoqualityinrecognitiontasks-221018122952-5442960b-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> It was once thought that high QoS (Quality of Service) performance solves recurrent problems of low-quality multimedia services. Since then, solutions have been proposed to ensure a high level of QoE (Quality of Experience). In this document, the authors attempt to outline his understanding of an accurate meaning of quality of multimedia services. Starting from QoS and passing through generalised QoE, the authors focus on aspects of subjective and objective quality modelling and optimisation of visual performance for TRV (Target Recognition Video) applications (such as video surveillance), outlining the path of ITU-T standardisation in this area. The authors revised the ITU-T Recommendation P.912 to reflect improved subjective test techniques developed since this Recommendation was approved. The authors also attempt to predict at least some existing errors of reasoning, which are likely to become evident for the industry in the next decade.
Selected Aspects of the New Recommendation on Subjective Methods of Assessing Video Quality in Recognition Tasks.pptx from Mikolaj Leszczuk
]]> 13 0 https://cdn.slidesharecdn.com/ss_thumbnails/selectedaspectsofthenewrecommendationonsubjectivemethodsofassessingvideoqualityinrecognitiontasks-221018122952-5442960b-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 Survey on the State-Of-The-Art Methods for Objective Video Quality Assessment in Recognition Tasks /slideshow/survey-on-the-stateoftheart-methods-for-objective-video-quality-assessment-in-recognition-tasks/238831058 huaweislides-201011152453
This paper is a technical report, presenting a survey on the state-of-the-art methods for objective video quality assessment in recognition tasks. It bases on the most up-to-date solutions, developed by various research teams. The study considers, among others, solutions developed by the AGH University research team, including the contributions to ITU-T Recommendation P.912 (dealing with video quality assessment methods for recognition tasks) as well as the video quality indicators (available at http://vq.kt.agh.edu.pl/). In particular, we consider evaluation metrics based on a trade-off between computer vision performance and compression efficiency.]]>
This paper is a technical report, presenting a survey on the state-of-the-art methods for objective video quality assessment in recognition tasks. It bases on the most up-to-date solutions, developed by various research teams. The study considers, among others, solutions developed by the AGH University research team, including the contributions to ITU-T Recommendation P.912 (dealing with video quality assessment methods for recognition tasks) as well as the video quality indicators (available at http://vq.kt.agh.edu.pl/). In particular, we consider evaluation metrics based on a trade-off between computer vision performance and compression efficiency.]]> Sun, 11 Oct 2020 15:24:53 GMT /slideshow/survey-on-the-stateoftheart-methods-for-objective-video-quality-assessment-in-recognition-tasks/238831058 MikolajLeszczuk@slideshare.net(MikolajLeszczuk) Survey on the State-Of-The-Art Methods for Objective Video Quality Assessment in Recognition Tasks MikolajLeszczuk This paper is a technical report, presenting a survey on the state-of-the-art methods for objective video quality assessment in recognition tasks. It bases on the most up-to-date solutions, developed by various research teams. The study considers, among others, solutions developed by the AGH University research team, including the contributions to ITU-T Recommendation P.912 (dealing with video quality assessment methods for recognition tasks) as well as the video quality indicators (available at http://vq.kt.agh.edu.pl/). In particular, we consider evaluation metrics based on a trade-off between computer vision performance and compression efficiency. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/huaweislides-201011152453-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This paper is a technical report, presenting a survey on the state-of-the-art methods for objective video quality assessment in recognition tasks. It bases on the most up-to-date solutions, developed by various research teams. The study considers, among others, solutions developed by the AGH University research team, including the contributions to ITU-T Recommendation P.912 (dealing with video quality assessment methods for recognition tasks) as well as the video quality indicators (available at http://vq.kt.agh.edu.pl/). In particular, we consider evaluation metrics based on a trade-off between computer vision performance and compression efficiency.
Survey on the State-Of-The-Art Methods for Objective Video Quality Assessment in Recognition Tasks from Mikolaj Leszczuk
]]> 155 0 https://cdn.slidesharecdn.com/ss_thumbnails/huaweislides-201011152453-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 #VQEG #QUADRIVIA 2020 /MikolajLeszczuk/vqeg-quadrivia-2020 vqegquadrivia2020-200312191521
Special Session on QUality assessment for computer vision AnD immeRsIVe medIa Applications Mikoaj Leszczuk]]>
Special Session on QUality assessment for computer vision AnD immeRsIVe medIa Applications Mikoaj Leszczuk]]> Thu, 12 Mar 2020 19:15:21 GMT /MikolajLeszczuk/vqeg-quadrivia-2020 MikolajLeszczuk@slideshare.net(MikolajLeszczuk) #VQEG #QUADRIVIA 2020 MikolajLeszczuk Special Session on QUality assessment for computer vision AnD immeRsIVe medIa Applications Mikoaj Leszczuk <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/vqegquadrivia2020-200312191521-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Special Session on QUality assessment for computer vision AnD immeRsIVe medIa Applications Mikoaj Leszczuk
#VQEG #QUADRIVIA 2020 from Mikolaj Leszczuk
]]> 188 0 https://cdn.slidesharecdn.com/ss_thumbnails/vqegquadrivia2020-200312191521-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 Evaluation of Video Summarization /slideshow/evaluation-of-video-summarization/184867834 vqegqacovia2019105evaluationofvideosummarisation-191021172256
Evaluation of Video Summarization Mikoaj Leszczuk, Lucjan Janowski]]>
Evaluation of Video Summarization Mikoaj Leszczuk, Lucjan Janowski]]> Mon, 21 Oct 2019 17:22:56 GMT /slideshow/evaluation-of-video-summarization/184867834 MikolajLeszczuk@slideshare.net(MikolajLeszczuk) Evaluation of Video Summarization MikolajLeszczuk Evaluation of Video Summarization Mikoaj Leszczuk, Lucjan Janowski <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/vqegqacovia2019105evaluationofvideosummarisation-191021172256-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Evaluation of Video Summarization Mikoaj Leszczuk, Lucjan Janowski
Evaluation of Video Summarization from Mikolaj Leszczuk
]]> 208 0 https://cdn.slidesharecdn.com/ss_thumbnails/vqegqacovia2019105evaluationofvideosummarisation-191021172256-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 Special Session on:鐃Quality Assessment for Computer Vision and Immersive Media Applications /slideshow/special-session-onquality-assessment-for-computer-vision-and-immersive-media-applications/184769026 vqegmissi2020-191021122721
Quality Assessment for Computer Vision and Immersive Media Applications Related VQEG projects/groups: Quality Assessment for Computer Vision Applications (QACoViA) Immersive Media Group (IMG) Market research within the community who is interested in?]]>
Quality Assessment for Computer Vision and Immersive Media Applications Related VQEG projects/groups: Quality Assessment for Computer Vision Applications (QACoViA) Immersive Media Group (IMG) Market research within the community who is interested in?]]> Mon, 21 Oct 2019 12:27:21 GMT /slideshow/special-session-onquality-assessment-for-computer-vision-and-immersive-media-applications/184769026 MikolajLeszczuk@slideshare.net(MikolajLeszczuk) Special Session on:鐃Quality Assessment for Computer Vision and Immersive Media Applications MikolajLeszczuk Quality Assessment for Computer Vision and Immersive Media Applications Related VQEG projects/groups: Quality Assessment for Computer Vision Applications (QACoViA) Immersive Media Group (IMG) Market research within the community who is interested in? <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/vqegmissi2020-191021122721-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Quality Assessment for Computer Vision and Immersive Media Applications Related VQEG projects/groups: Quality Assessment for Computer Vision Applications (QACoViA) Immersive Media Group (IMG) Market research within the community who is interested in?
Special Session on: Quality Assessment for Computer Vision and Immersive Media Applications from Mikolaj Leszczuk
]]> 202 0 https://cdn.slidesharecdn.com/ss_thumbnails/vqegmissi2020-191021122721-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 Self-Improving Sustainable Intelligent Transport System (ITS) Using Video Content Analysis and Interoperable Wireless Sensors in the Big Data Era /slideshow/selfimproving-sustainable-intelligent-transport-system-its-using-video-content-analysis-and-interoperable-wireless-sensors-in-the-big-data-era/153764742 presentationtemplateicturkey2019leszczukv31-190705093252
Objective: to develop VCA algorithms that are suitable for big data processing, and designing visual, audio and environmental sensors/actuators ready to support sustainable transport Expected results Short-term: increasing and expanding technical excellence by creating a set of innovative solutions integrating various sensors and actuators designed & developed for enabling ITS Long-term: significant impact on the urban environment in areas of transit efficiency, pollution & safety]]>
Objective: to develop VCA algorithms that are suitable for big data processing, and designing visual, audio and environmental sensors/actuators ready to support sustainable transport Expected results Short-term: increasing and expanding technical excellence by creating a set of innovative solutions integrating various sensors and actuators designed & developed for enabling ITS Long-term: significant impact on the urban environment in areas of transit efficiency, pollution & safety]]> Fri, 05 Jul 2019 09:32:52 GMT /slideshow/selfimproving-sustainable-intelligent-transport-system-its-using-video-content-analysis-and-interoperable-wireless-sensors-in-the-big-data-era/153764742 MikolajLeszczuk@slideshare.net(MikolajLeszczuk) Self-Improving Sustainable Intelligent Transport System (ITS) Using Video Content Analysis and Interoperable Wireless Sensors in the Big Data Era MikolajLeszczuk Objective: to develop VCA algorithms that are suitable for big data processing, and designing visual, audio and environmental sensors/actuators ready to support sustainable transport Expected results Short-term: increasing and expanding technical excellence by creating a set of innovative solutions integrating various sensors and actuators designed & developed for enabling ITS Long-term: significant impact on the urban environment in areas of transit efficiency, pollution & safety <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/presentationtemplateicturkey2019leszczukv31-190705093252-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Objective: to develop VCA algorithms that are suitable for big data processing, and designing visual, audio and environmental sensors/actuators ready to support sustainable transport Expected results Short-term: increasing and expanding technical excellence by creating a set of innovative solutions integrating various sensors and actuators designed &amp; developed for enabling ITS Long-term: significant impact on the urban environment in areas of transit efficiency, pollution &amp; safety
Self-Improving Sustainable Intelligent Transport System (ITS) Using Video Content Analysis and Interoperable Wireless Sensors in the Big Data Era from Mikolaj Leszczuk
]]> 202 1 https://cdn.slidesharecdn.com/ss_thumbnails/presentationtemplateicturkey2019leszczukv31-190705093252-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 #Paris Meeting 2018 - Presentation of @chist_era_AMIS /slideshow/paris-meeting-2018-presentation-of-chisteraamis/93569688 amischisterameetingparis2018-180411160323
Presentation of AMIS]]>
Presentation of AMIS]]> Wed, 11 Apr 2018 16:03:23 GMT /slideshow/paris-meeting-2018-presentation-of-chisteraamis/93569688 MikolajLeszczuk@slideshare.net(MikolajLeszczuk) #Paris Meeting 2018 - Presentation of @chist_era_AMIS MikolajLeszczuk Presentation of AMIS <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/amischisterameetingparis2018-180411160323-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation of AMIS
#Paris Meeting 2018 - Presentation of @chist_era_AMIS from Mikolaj Leszczuk
]]> 86 4 https://cdn.slidesharecdn.com/ss_thumbnails/amischisterameetingparis2018-180411160323-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 Spotkanie w VIII Prywatnym Akademickim Liceum Og坦lnoksztaccym /slideshow/spotkanie-w-viii-prywatnym-akademickim-liceum-oglnoksztaccym/86192273 prezentacjaszkolysredniekt2018-180115214034
Spotkanie w VIII Prywatnym Akademickim Liceum Og坦lnoksztaccym]]>
Spotkanie w VIII Prywatnym Akademickim Liceum Og坦lnoksztaccym]]> Mon, 15 Jan 2018 21:40:34 GMT /slideshow/spotkanie-w-viii-prywatnym-akademickim-liceum-oglnoksztaccym/86192273 MikolajLeszczuk@slideshare.net(MikolajLeszczuk) Spotkanie w VIII Prywatnym Akademickim Liceum Og坦lnoksztaccym MikolajLeszczuk Spotkanie w VIII Prywatnym Akademickim Liceum Og坦lnoksztaccym <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/prezentacjaszkolysredniekt2018-180115214034-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Spotkanie w VIII Prywatnym Akademickim Liceum Og坦lnoksztaccym
Spotkanie w VIII Prywatnym Akademickim Liceum Og坦lnoksztaccym from Mikolaj Leszczuk
]]> 154 1 https://cdn.slidesharecdn.com/ss_thumbnails/prezentacjaszkolysredniekt2018-180115214034-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 QoE Research /slideshow/qoe-research/85735905 qoeresearch-180104212652
Zdzisaw Papir, Mikoaj Leszczuk, Lucjan Janowski, Jakub Nawaa]]>
Zdzisaw Papir, Mikoaj Leszczuk, Lucjan Janowski, Jakub Nawaa]]> Thu, 04 Jan 2018 21:26:52 GMT /slideshow/qoe-research/85735905 MikolajLeszczuk@slideshare.net(MikolajLeszczuk) QoE Research MikolajLeszczuk Zdzisaw Papir, Mikoaj Leszczuk, Lucjan Janowski, Jakub Nawaa <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/qoeresearch-180104212652-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Zdzisaw Papir, Mikoaj Leszczuk, Lucjan Janowski, Jakub Nawaa
QoE Research from Mikolaj Leszczuk
]]> 156 3 https://cdn.slidesharecdn.com/ss_thumbnails/qoeresearch-180104212652-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 Prace naukowe prowadzone w Katedrze Telekomunikacji @AGH_Krakow /slideshow/prace-naukowe-prowadzone-w-katedrze-telekomunikacji-aghkrakow/85735503 ktaghprezentacja-180104211621
Akademia G坦rniczo Hutnicza im. Stanisawa Staszica w Krakowie Stycze 2018]]>
Akademia G坦rniczo Hutnicza im. Stanisawa Staszica w Krakowie Stycze 2018]]> Thu, 04 Jan 2018 21:16:21 GMT /slideshow/prace-naukowe-prowadzone-w-katedrze-telekomunikacji-aghkrakow/85735503 MikolajLeszczuk@slideshare.net(MikolajLeszczuk) Prace naukowe prowadzone w Katedrze Telekomunikacji @AGH_Krakow MikolajLeszczuk Akademia G坦rniczo Hutnicza im. Stanisawa Staszica w Krakowie Stycze 2018 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ktaghprezentacja-180104211621-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Akademia G坦rniczo Hutnicza im. Stanisawa Staszica w Krakowie Stycze 2018
Prace naukowe prowadzone w Katedrze Telekomunikacji @AGH_Krakow from Mikolaj Leszczuk
]]> 235 4 https://cdn.slidesharecdn.com/ss_thumbnails/ktaghprezentacja-180104211621-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 Infrastructure for High-Attendance, Simple Psychophysical Experiments /slideshow/infrastructure-for-highattendance-simple-psychophysical-experiments/83046090 qfq4mwwnrmggp67rdjin-signature-c63ba58cf4542bded31ee5a1389ecbcd56645bc77364fcd2478fb5fe6a88c4d1-poli-171130103343
Contact http://vq.kt.agh.edu.pl]]>
Contact http://vq.kt.agh.edu.pl]]> Thu, 30 Nov 2017 10:33:43 GMT /slideshow/infrastructure-for-highattendance-simple-psychophysical-experiments/83046090 MikolajLeszczuk@slideshare.net(MikolajLeszczuk) Infrastructure for High-Attendance, Simple Psychophysical Experiments MikolajLeszczuk Contact http://vq.kt.agh.edu.pl <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/qfq4mwwnrmggp67rdjin-signature-c63ba58cf4542bded31ee5a1389ecbcd56645bc77364fcd2478fb5fe6a88c4d1-poli-171130103343-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Contact http://vq.kt.agh.edu.pl
Infrastructure for High-Attendance, Simple Psychophysical Experiments from Mikolaj Leszczuk
]]> 208 3 https://cdn.slidesharecdn.com/ss_thumbnails/qfq4mwwnrmggp67rdjin-signature-c63ba58cf4542bded31ee5a1389ecbcd56645bc77364fcd2478fb5fe6a88c4d1-poli-171130103343-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 J. Imaging: Special Issue on Image Quality /slideshow/j-imaging-special-issue-on-image-quality/82883425 vqeggeneral2017211specialissue-171128083646
Guest Editors: D. M. Chandler, Y. Inazumi, M. Leszczuk Submissions Due: May 2018 http://www.mdpi.com/journal/jimaging/special_issues ]]>
Guest Editors: D. M. Chandler, Y. Inazumi, M. Leszczuk Submissions Due: May 2018 http://www.mdpi.com/journal/jimaging/special_issues ]]> Tue, 28 Nov 2017 08:36:46 GMT /slideshow/j-imaging-special-issue-on-image-quality/82883425 MikolajLeszczuk@slideshare.net(MikolajLeszczuk) J. Imaging: Special Issue on Image Quality MikolajLeszczuk Guest Editors: 鐃D. M. Chandler, Y. Inazumi, M. Leszczuk Submissions Due: May 2018 http://www.mdpi.com/journal/jimaging/special_issues <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/vqeggeneral2017211specialissue-171128083646-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Guest Editors: 鐃D. M. Chandler, Y. Inazumi, M. Leszczuk Submissions Due: May 2018 http://www.mdpi.com/journal/jimaging/special_issues
J. Imaging: Special Issue on Image Quality from Mikolaj Leszczuk
]]> 89 2 https://cdn.slidesharecdn.com/ss_thumbnails/vqeggeneral2017211specialissue-171128083646-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 Video summarization framework for newscasts and reports work in progress /slideshow/video-summarization-framework-for-newscasts-and-reports-work-in-progress/82220997 videosummarizationframeworkfornewscastsandreportsworkinprogress-171117152914
This paper presents a framework for summarization for newscasts and reports, that is a part of an ongoing research towards multilingual opinion analysis system conducted under the CHIST-ERA project Access Multilingual Information opinionS (AMIS). We present the results of qualitative analysis of newscast and reports published in the Internet by leading English, French and Arabic TV channels. We show the method used for creation of a database that contains 300 hours of such content on controversial topics. Finally, we show the design and operation of our summarization framework. The framework is designed in such a way, that it allows for easy experimentation with different approaches to video summarization. The description is followed by a presentation of high- and low-level metadata extraction algorithms that include detection of the anchorperson, recognition of day and night shots and extraction of low-level video quality indicators.]]>
This paper presents a framework for summarization for newscasts and reports, that is a part of an ongoing research towards multilingual opinion analysis system conducted under the CHIST-ERA project Access Multilingual Information opinionS (AMIS). We present the results of qualitative analysis of newscast and reports published in the Internet by leading English, French and Arabic TV channels. We show the method used for creation of a database that contains 300 hours of such content on controversial topics. Finally, we show the design and operation of our summarization framework. The framework is designed in such a way, that it allows for easy experimentation with different approaches to video summarization. The description is followed by a presentation of high- and low-level metadata extraction algorithms that include detection of the anchorperson, recognition of day and night shots and extraction of low-level video quality indicators.]]> Fri, 17 Nov 2017 15:29:14 GMT /slideshow/video-summarization-framework-for-newscasts-and-reports-work-in-progress/82220997 MikolajLeszczuk@slideshare.net(MikolajLeszczuk) Video summarization framework for newscasts and reports work in progress MikolajLeszczuk This paper presents a framework for summarization for newscasts and reports, that is a part of an ongoing research towards multilingual opinion analysis system conducted under the CHIST-ERA project Access Multilingual Information opinionS (AMIS). We present the results of qualitative analysis of newscast and reports published in the Internet by leading English, French and Arabic TV channels. We show the method used for creation of a database that contains 300 hours of such content on controversial topics. Finally, we show the design and operation of our summarization framework. The framework is designed in such a way, that it allows for easy experimentation with different approaches to video summarization. The description is followed by a presentation of high- and low-level metadata extraction algorithms that include detection of the anchorperson, recognition of day and night shots and extraction of low-level video quality indicators. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/videosummarizationframeworkfornewscastsandreportsworkinprogress-171117152914-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This paper presents a framework for summarization for newscasts and reports, that is a part of an ongoing research towards multilingual opinion analysis system conducted under the CHIST-ERA project Access Multilingual Information opinionS (AMIS). We present the results of qualitative analysis of newscast and reports published in the Internet by leading English, French and Arabic TV channels. We show the method used for creation of a database that contains 300 hours of such content on controversial topics. Finally, we show the design and operation of our summarization framework. The framework is designed in such a way, that it allows for easy experimentation with different approaches to video summarization. The description is followed by a presentation of high- and low-level metadata extraction algorithms that include detection of the anchorperson, recognition of day and night shots and extraction of low-level video quality indicators.
Video summarization framework for newscasts and reports work in progress from Mikolaj Leszczuk
]]> 111 2 https://cdn.slidesharecdn.com/ss_thumbnails/videosummarizationframeworkfornewscastsandreportsworkinprogress-171117152914-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 Analytics of Smart City Data for Sustainable Quality of Life of Citizens /slideshow/visual-analytics-of-smart-city-data-for-sustainable-quality-of-life-of-citizens/81274644 presentationleszczukcof2017-171027082254
The improvement of Quality of Life (QoL) concerns every citizen. Fostering and applying research domains in advanced acquisition, modelling and visual analysis tools will support cities deciders in taking informed QoL improvement decisions on (partially) uncertain big data. We acknowledge a challenge in the scalability of complexity ranging from an experts view to a naive citizens understanding of (potentially unpopular) QoL decisions that we will tackle by new approaches to open big data network acquisition, multidimensional and multidisciplinary transformation of data, extraction of decision relevant data and its associated reliability, followed by appropriate visualisation aided by a data-aware digital assistant.]]>
The improvement of Quality of Life (QoL) concerns every citizen. Fostering and applying research domains in advanced acquisition, modelling and visual analysis tools will support cities deciders in taking informed QoL improvement decisions on (partially) uncertain big data. We acknowledge a challenge in the scalability of complexity ranging from an experts view to a naive citizens understanding of (potentially unpopular) QoL decisions that we will tackle by new approaches to open big data network acquisition, multidimensional and multidisciplinary transformation of data, extraction of decision relevant data and its associated reliability, followed by appropriate visualisation aided by a data-aware digital assistant.]]> Fri, 27 Oct 2017 08:22:53 GMT /slideshow/visual-analytics-of-smart-city-data-for-sustainable-quality-of-life-of-citizens/81274644 MikolajLeszczuk@slideshare.net(MikolajLeszczuk) Visual Analytics of Smart City Data for Sustainable Quality of Life of Citizens MikolajLeszczuk The improvement of Quality of Life (QoL) concerns every citizen. Fostering and applying research domains in advanced acquisition, modelling and visual analysis tools will support cities deciders in taking informed QoL improvement decisions on (partially) uncertain big data. We acknowledge a challenge in the scalability of complexity ranging from an experts view to a naive citizens understanding of (potentially unpopular) QoL decisions that we will tackle by new approaches to open big data network acquisition, multidimensional and multidisciplinary transformation of data, extraction of decision relevant data and its associated reliability, followed by appropriate visualisation aided by a data-aware digital assistant. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/presentationleszczukcof2017-171027082254-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The improvement of Quality of Life (QoL) concerns every citizen. Fostering and applying research domains in advanced acquisition, modelling and visual analysis tools will support cities deciders in taking informed QoL improvement decisions on (partially) uncertain big data. We acknowledge a challenge in the scalability of complexity ranging from an experts view to a naive citizens understanding of (potentially unpopular) QoL decisions that we will tackle by new approaches to open big data network acquisition, multidimensional and multidisciplinary transformation of data, extraction of decision relevant data and its associated reliability, followed by appropriate visualisation aided by a data-aware digital assistant.
Visual Analytics of Smart City Data for Sustainable Quality of Life of Citizens from Mikolaj Leszczuk
]]> 273 3 https://cdn.slidesharecdn.com/ss_thumbnails/presentationleszczukcof2017-171027082254-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 Automatic Extraction of Machine Tags in Flickr Service /slideshow/automatic-extraction-of-machine-tags-in-flickr-service/75829758 vqegvime2017104automatic-extraction-machine-170509203403
Mikoaj Leszczuk, Micha Grega, Jarosaw Gliwski]]>
Mikoaj Leszczuk, Micha Grega, Jarosaw Gliwski]]> Tue, 09 May 2017 20:34:03 GMT /slideshow/automatic-extraction-of-machine-tags-in-flickr-service/75829758 MikolajLeszczuk@slideshare.net(MikolajLeszczuk) Automatic Extraction of Machine Tags in Flickr Service MikolajLeszczuk Mikoaj Leszczuk, Micha Grega, Jarosaw Gliwski <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/vqegvime2017104automatic-extraction-machine-170509203403-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Mikoaj Leszczuk, Micha Grega, Jarosaw Gliwski
Automatic Extraction of Machine Tags in Flickr Service from Mikolaj Leszczuk
]]> 205 2 https://cdn.slidesharecdn.com/ss_thumbnails/vqegvime2017104automatic-extraction-machine-170509203403-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 Results on video summarization /slideshow/results-on-video-summarization/75503603 resultsonvideosummarization-170428141344
First version of content analysis and video summarization components.]]>
First version of content analysis and video summarization components.]]> Fri, 28 Apr 2017 14:13:44 GMT /slideshow/results-on-video-summarization/75503603 MikolajLeszczuk@slideshare.net(MikolajLeszczuk) Results on video summarization MikolajLeszczuk First version of content analysis and video summarization components. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/resultsonvideosummarization-170428141344-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> First version of content analysis and video summarization components.
Results on video summarization from Mikolaj Leszczuk
]]> 471 4 https://cdn.slidesharecdn.com/ss_thumbnails/resultsonvideosummarization-170428141344-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 Czowiek, osma warstwa modelu ISO/OSI, jako element ekosystemu teleinformatycznego /MikolajLeszczuk/czowiek-osma-warstwa-modelu-isoosi-jako-element-ekosystemu-teleinformatycznego wprowadzenie-czowiekosmawarstwamodeluiso-osijakoelementekosystemuteleinformatycznego-170317191920
Rozpowszechnienie si dostpu szerokopasmowego, postp technologiczny i zmniejszenie koszt坦w operacyjnych popchny przemys IT, telekomunikacji, medi坦w i rozrywkowi w faz wielkich i cigych zmian. Poniewa甜 bran甜e te zbiegaj si, tworz te甜 one przestrze, w kt坦rej siedem warstw technologicznych modelu ISO/OSI, spotyka warstw 坦sm: czowieka, dla kt坦rego w rzeczywistoci wszystkie te technologie zostay stworzone. Mo甜emy nazwa to miejsce: Ekosystemem cyfrowym. Ten wschodzcy cyfrowy ekosystem generuje wiele mo甜liwoci tworzenia wartoci spoecznej i gospodarczej, jak r坦wnie甜 staje si zagro甜eniem i wyzwaniem dla u甜ytkownik坦w i polityki rzd坦w. Tak, jak ka甜dy zdrowy ekosystem pozwala jej podmiotom na wsp坦prac z korzyci dla wszystkich, tak zdrowy cyfrowy ekosystem bdzie umo甜liwia jego uczestnikom tworzenie i dostarczanie wartoci ekonomicznych dla dobrobytu spoeczestwa. W przedmiocie tym skupiamy si na wci甜 niepewnych wartociach, takich jak wzmocnienie pozycji u甜ytkownika, struktura rynku, regulacje rynku, prawa wasnoci intelektualnej, bezpieczestwo i prywatno. Ekosystem cyfrowy formuje si wraz z konsolidacj przemysu informatyki, telekomunikacji, medi坦w i rozrywki; u甜ytkownicy ewoluuj od zwykych konsument坦w do aktywnych uczestnik坦w ekosystemu, a rzdy cieraj si z problematyk polityki nadzoru. Uczestnicy cyfrowego ekosystemu kwestionuj jego ksztat i rozmiar. S wiadomi swoich wzajemnych zale甜noci niezbdnych do umo甜liwienia ekosystemowi cyfrowemu rozwoju w zdrowym rodowisku, zarazem tworzc dodatni warto ekonomiczn i dobrobyt spoeczestwa.]]>
Rozpowszechnienie si dostpu szerokopasmowego, postp technologiczny i zmniejszenie koszt坦w operacyjnych popchny przemys IT, telekomunikacji, medi坦w i rozrywkowi w faz wielkich i cigych zmian. Poniewa甜 bran甜e te zbiegaj si, tworz te甜 one przestrze, w kt坦rej siedem warstw technologicznych modelu ISO/OSI, spotyka warstw 坦sm: czowieka, dla kt坦rego w rzeczywistoci wszystkie te technologie zostay stworzone. Mo甜emy nazwa to miejsce: Ekosystemem cyfrowym. Ten wschodzcy cyfrowy ekosystem generuje wiele mo甜liwoci tworzenia wartoci spoecznej i gospodarczej, jak r坦wnie甜 staje si zagro甜eniem i wyzwaniem dla u甜ytkownik坦w i polityki rzd坦w. Tak, jak ka甜dy zdrowy ekosystem pozwala jej podmiotom na wsp坦prac z korzyci dla wszystkich, tak zdrowy cyfrowy ekosystem bdzie umo甜liwia jego uczestnikom tworzenie i dostarczanie wartoci ekonomicznych dla dobrobytu spoeczestwa. W przedmiocie tym skupiamy si na wci甜 niepewnych wartociach, takich jak wzmocnienie pozycji u甜ytkownika, struktura rynku, regulacje rynku, prawa wasnoci intelektualnej, bezpieczestwo i prywatno. Ekosystem cyfrowy formuje si wraz z konsolidacj przemysu informatyki, telekomunikacji, medi坦w i rozrywki; u甜ytkownicy ewoluuj od zwykych konsument坦w do aktywnych uczestnik坦w ekosystemu, a rzdy cieraj si z problematyk polityki nadzoru. Uczestnicy cyfrowego ekosystemu kwestionuj jego ksztat i rozmiar. S wiadomi swoich wzajemnych zale甜noci niezbdnych do umo甜liwienia ekosystemowi cyfrowemu rozwoju w zdrowym rodowisku, zarazem tworzc dodatni warto ekonomiczn i dobrobyt spoeczestwa.]]> Fri, 17 Mar 2017 19:19:20 GMT /MikolajLeszczuk/czowiek-osma-warstwa-modelu-isoosi-jako-element-ekosystemu-teleinformatycznego MikolajLeszczuk@slideshare.net(MikolajLeszczuk) Czowiek, osma warstwa modelu ISO/OSI, jako element ekosystemu teleinformatycznego MikolajLeszczuk Rozpowszechnienie si dostpu szerokopasmowego, postp technologiczny i zmniejszenie koszt坦w operacyjnych popchny przemys IT, telekomunikacji, medi坦w i rozrywkowi w faz wielkich i cigych zmian. Poniewa甜 bran甜e te zbiegaj si, tworz te甜 one przestrze, w kt坦rej siedem warstw technologicznych modelu ISO/OSI, spotyka warstw 坦sm: czowieka, dla kt坦rego w rzeczywistoci wszystkie te technologie zostay stworzone. Mo甜emy nazwa to miejsce: Ekosystemem cyfrowym. Ten wschodzcy cyfrowy ekosystem generuje wiele mo甜liwoci tworzenia wartoci spoecznej i gospodarczej, jak r坦wnie甜 staje si zagro甜eniem i wyzwaniem dla u甜ytkownik坦w i polityki rzd坦w. Tak, jak ka甜dy zdrowy ekosystem pozwala jej podmiotom na wsp坦prac z korzyci dla wszystkich, tak zdrowy cyfrowy ekosystem bdzie umo甜liwia jego uczestnikom tworzenie i dostarczanie wartoci ekonomicznych dla dobrobytu spoeczestwa. W przedmiocie tym skupiamy si na wci甜 niepewnych wartociach, takich jak wzmocnienie pozycji u甜ytkownika, struktura rynku, regulacje rynku, prawa wasnoci intelektualnej, bezpieczestwo i prywatno. Ekosystem cyfrowy formuje si wraz z konsolidacj przemysu informatyki, telekomunikacji, medi坦w i rozrywki; u甜ytkownicy ewoluuj od zwykych konsument坦w do aktywnych uczestnik坦w ekosystemu, a rzdy cieraj si z problematyk polityki nadzoru. Uczestnicy cyfrowego ekosystemu kwestionuj jego ksztat i rozmiar. S wiadomi swoich wzajemnych zale甜noci niezbdnych do umo甜liwienia ekosystemowi cyfrowemu rozwoju w zdrowym rodowisku, zarazem tworzc dodatni warto ekonomiczn i dobrobyt spoeczestwa. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/wprowadzenie-czowiekosmawarstwamodeluiso-osijakoelementekosystemuteleinformatycznego-170317191920-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Rozpowszechnienie si dostpu szerokopasmowego, postp technologiczny i zmniejszenie koszt坦w operacyjnych popchny przemys IT, telekomunikacji, medi坦w i rozrywkowi w faz wielkich i cigych zmian. Poniewa甜 bran甜e te zbiegaj si, tworz te甜 one przestrze, w kt坦rej siedem warstw technologicznych modelu ISO/OSI, spotyka warstw 坦sm: czowieka, dla kt坦rego w rzeczywistoci wszystkie te technologie zostay stworzone. Mo甜emy nazwa to miejsce: Ekosystemem cyfrowym. Ten wschodzcy cyfrowy ekosystem generuje wiele mo甜liwoci tworzenia wartoci spoecznej i gospodarczej, jak r坦wnie甜 staje si zagro甜eniem i wyzwaniem dla u甜ytkownik坦w i polityki rzd坦w. Tak, jak ka甜dy zdrowy ekosystem pozwala jej podmiotom na wsp坦prac z korzyci dla wszystkich, tak zdrowy cyfrowy ekosystem bdzie umo甜liwia jego uczestnikom tworzenie i dostarczanie wartoci ekonomicznych dla dobrobytu spoeczestwa. W przedmiocie tym skupiamy si na wci甜 niepewnych wartociach, takich jak wzmocnienie pozycji u甜ytkownika, struktura rynku, regulacje rynku, prawa wasnoci intelektualnej, bezpieczestwo i prywatno. Ekosystem cyfrowy formuje si wraz z konsolidacj przemysu informatyki, telekomunikacji, medi坦w i rozrywki; u甜ytkownicy ewoluuj od zwykych konsument坦w do aktywnych uczestnik坦w ekosystemu, a rzdy cieraj si z problematyk polityki nadzoru. Uczestnicy cyfrowego ekosystemu kwestionuj jego ksztat i rozmiar. S wiadomi swoich wzajemnych zale甜noci niezbdnych do umo甜liwienia ekosystemowi cyfrowemu rozwoju w zdrowym rodowisku, zarazem tworzc dodatni warto ekonomiczn i dobrobyt spoeczestwa.
Cz鐚wiek, oma warstwa modelu ISO/OSI, jako element ekosystemu teleinformatycznego from Mikolaj Leszczuk
]]> 598 3 https://cdn.slidesharecdn.com/ss_thumbnails/wprowadzenie-czowiekosmawarstwamodeluiso-osijakoelementekosystemuteleinformatycznego-170317191920-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 Badanie i implementacja aspektu QoE (ang. Quality of Experience) w aplikacjach wideo ze szczeg坦lnym uwzgldnieniem rozpoznawania obiekt坦w /slideshow/badanie-i-implementacja-aspektu-qoe-ang-quality-of-experience-w-aplikacjach-wideo-ze-szczeglnym-uwzgldnieniem-rozpoznawania-obiektw/73218828 habilitacja-leszczuk-170316170248
Zapewnianie nie tylko wysokiego poziomu tradycyjnej jakoci usug (ang. Quality of Service, QoS), ale tak甜e jakoci dowiadczanej (ang. Quality of Experience, QoE) jest wyzwaniem dla dostawc坦w usug internetowych, usug audiowizualnych, nadawc坦w oraz nowych dostawc坦w usug Over-The-Top (OTT). W celu monitorowania i rozwizywania problem坦w, a tak甜e analizowania i ustanawiania wzorc坦w jakoci dla aplikacji treci pracujcych w czasie rzeczywistym lub offline czsto s realizowane obiektywne metryki treci audiowizualnych. Od 2000 roku prace zwizanie zpojciem QoE w kontekstach r坦甜nych aplikacji nabray tempa i zyskay szerokie uznanie biznesowe. Robocz definicj QoE podaje biaa ksiga sieci QUALINET: QUALINET White Paper on QoE Definitions z 2012 roku: Quality of Experience (QoE) jest stopniem zadowolenia lub irytacji u甜ytkownika aplikacji lub usugi. QoE wynika z realizacji oczekiwa u甜ytkownika wzgldem u甜ytecznoci i/lub zadowolenia z aplikacji lub usugi w wietle aktualnych preferencji u甜ytkownika.]]>
Zapewnianie nie tylko wysokiego poziomu tradycyjnej jakoci usug (ang. Quality of Service, QoS), ale tak甜e jakoci dowiadczanej (ang. Quality of Experience, QoE) jest wyzwaniem dla dostawc坦w usug internetowych, usug audiowizualnych, nadawc坦w oraz nowych dostawc坦w usug Over-The-Top (OTT). W celu monitorowania i rozwizywania problem坦w, a tak甜e analizowania i ustanawiania wzorc坦w jakoci dla aplikacji treci pracujcych w czasie rzeczywistym lub offline czsto s realizowane obiektywne metryki treci audiowizualnych. Od 2000 roku prace zwizanie zpojciem QoE w kontekstach r坦甜nych aplikacji nabray tempa i zyskay szerokie uznanie biznesowe. Robocz definicj QoE podaje biaa ksiga sieci QUALINET: QUALINET White Paper on QoE Definitions z 2012 roku: Quality of Experience (QoE) jest stopniem zadowolenia lub irytacji u甜ytkownika aplikacji lub usugi. QoE wynika z realizacji oczekiwa u甜ytkownika wzgldem u甜ytecznoci i/lub zadowolenia z aplikacji lub usugi w wietle aktualnych preferencji u甜ytkownika.]]> Thu, 16 Mar 2017 17:02:48 GMT /slideshow/badanie-i-implementacja-aspektu-qoe-ang-quality-of-experience-w-aplikacjach-wideo-ze-szczeglnym-uwzgldnieniem-rozpoznawania-obiektw/73218828 MikolajLeszczuk@slideshare.net(MikolajLeszczuk) Badanie i implementacja aspektu QoE (ang. Quality of Experience) w aplikacjach wideo ze szczeg坦lnym uwzgldnieniem rozpoznawania obiekt坦w MikolajLeszczuk Zapewnianie nie tylko wysokiego poziomu tradycyjnej jakoci usug (ang. Quality of Service, QoS), ale tak甜e jakoci dowiadczanej (ang. Quality of Experience, QoE) jest wyzwaniem dla dostawc坦w usug internetowych, usug audiowizualnych, nadawc坦w oraz nowych dostawc坦w usug Over-The-Top (OTT). W celu monitorowania i rozwizywania problem坦w, a tak甜e analizowania i ustanawiania wzorc坦w jakoci dla aplikacji treci pracujcych w czasie rzeczywistym lub offline czsto s realizowane obiektywne metryki treci audiowizualnych. Od 2000 roku prace zwizanie zpojciem QoE w kontekstach r坦甜nych aplikacji nabray tempa i zyskay szerokie uznanie biznesowe. Robocz definicj QoE podaje biaa ksiga sieci QUALINET: QUALINET White Paper on QoE Definitions z 2012 roku: Quality of Experience (QoE) jest stopniem zadowolenia lub irytacji u甜ytkownika aplikacji lub usugi. QoE wynika z realizacji oczekiwa u甜ytkownika wzgldem u甜ytecznoci i/lub zadowolenia z aplikacji lub usugi w wietle aktualnych preferencji u甜ytkownika. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/habilitacja-leszczuk-170316170248-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Zapewnianie nie tylko wysokiego poziomu tradycyjnej jakoci usug (ang. Quality of Service, QoS), ale tak甜e jakoci dowiadczanej (ang. Quality of Experience, QoE) jest wyzwaniem dla dostawc坦w usug internetowych, usug audiowizualnych, nadawc坦w oraz nowych dostawc坦w usug Over-The-Top (OTT). W celu monitorowania i rozwizywania problem坦w, a tak甜e analizowania i ustanawiania wzorc坦w jakoci dla aplikacji treci pracujcych w czasie rzeczywistym lub offline czsto s realizowane obiektywne metryki treci audiowizualnych. Od 2000 roku prace zwizanie zpojciem QoE w kontekstach r坦甜nych aplikacji nabray tempa i zyskay szerokie uznanie biznesowe. Robocz definicj QoE podaje biaa ksiga sieci QUALINET: QUALINET White Paper on QoE Definitions z 2012 roku: Quality of Experience (QoE) jest stopniem zadowolenia lub irytacji u甜ytkownika aplikacji lub usugi. QoE wynika z realizacji oczekiwa u甜ytkownika wzgldem u甜ytecznoci i/lub zadowolenia z aplikacji lub usugi w wietle aktualnych preferencji u甜ytkownika.
Badanie i implementacja aspektu QoE (ang. Quality of Experience) w aplikacjach wideo ze szczeglnym uwzglnieniem rozpoznawania obiektw from Mikolaj Leszczuk
]]> 267 2 https://cdn.slidesharecdn.com/ss_thumbnails/habilitacja-leszczuk-170316170248-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 Platforma do automatycznej, obiektywnej oceny jakoci usug transmisji wideo /slideshow/platforma-do-automatycznej-obiektywnej-oceny-jakoci-usug-transmisji-wideo/72770053 dw2017-leszczuk-170303104309
Stworzona platforma jest uniwersalnym systemem metryk jakoci wizyjnej, mo甜liwym do u甜ycia w procesie monitorowania jakoci usug transmisji wideo, m.in. w scenariuszu bezpieczestwa publicznego. W rozwa甜anym w scenariuszu istnieje potrzeba oceny jakoci z punktu widzenia u甜ytkownika kocowego (ang. Quality of Experience, QoE). Taki pomiar wymaga uruchomienia odpowiednich metryk dla sekwencji wizyjnych, kt坦re oglda wspomniany u甜ytkownik. Dlatego te甜, z wzgldu na charakterystyk scenariusza, stworzone metryki dziaaj w modelu bez-referencyjnym (ang. No-Reference, NR) oraz na poziomie pikseli, a nie pakiet坦w co jest innowacyjn cech wynalazku. ]]>
Stworzona platforma jest uniwersalnym systemem metryk jakoci wizyjnej, mo甜liwym do u甜ycia w procesie monitorowania jakoci usug transmisji wideo, m.in. w scenariuszu bezpieczestwa publicznego. W rozwa甜anym w scenariuszu istnieje potrzeba oceny jakoci z punktu widzenia u甜ytkownika kocowego (ang. Quality of Experience, QoE). Taki pomiar wymaga uruchomienia odpowiednich metryk dla sekwencji wizyjnych, kt坦re oglda wspomniany u甜ytkownik. Dlatego te甜, z wzgldu na charakterystyk scenariusza, stworzone metryki dziaaj w modelu bez-referencyjnym (ang. No-Reference, NR) oraz na poziomie pikseli, a nie pakiet坦w co jest innowacyjn cech wynalazku. ]]> Fri, 03 Mar 2017 10:43:09 GMT /slideshow/platforma-do-automatycznej-obiektywnej-oceny-jakoci-usug-transmisji-wideo/72770053 MikolajLeszczuk@slideshare.net(MikolajLeszczuk) Platforma do automatycznej, obiektywnej oceny jakoci usug transmisji wideo MikolajLeszczuk Stworzona platforma jest uniwersalnym systemem metryk jakoci wizyjnej, mo甜liwym do u甜ycia w procesie monitorowania jakoci usug transmisji wideo, m.in. w scenariuszu bezpieczestwa publicznego. W rozwa甜anym w scenariuszu istnieje potrzeba oceny jakoci z punktu widzenia u甜ytkownika kocowego (ang. Quality of Experience, QoE). Taki pomiar wymaga uruchomienia odpowiednich metryk dla sekwencji wizyjnych, kt坦re oglda wspomniany u甜ytkownik. Dlatego te甜, z wzgldu na charakterystyk scenariusza, stworzone metryki dziaaj w modelu bez-referencyjnym (ang. No-Reference, NR) oraz na poziomie pikseli, a nie pakiet坦w co jest innowacyjn cech wynalazku. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dw2017-leszczuk-170303104309-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Stworzona platforma jest uniwersalnym systemem metryk jakoci wizyjnej, mo甜liwym do u甜ycia w procesie monitorowania jakoci usug transmisji wideo, m.in. w scenariuszu bezpieczestwa publicznego. W rozwa甜anym w scenariuszu istnieje potrzeba oceny jakoci z punktu widzenia u甜ytkownika kocowego (ang. Quality of Experience, QoE). Taki pomiar wymaga uruchomienia odpowiednich metryk dla sekwencji wizyjnych, kt坦re oglda wspomniany u甜ytkownik. Dlatego te甜, z wzgldu na charakterystyk scenariusza, stworzone metryki dziaaj w modelu bez-referencyjnym (ang. No-Reference, NR) oraz na poziomie pikseli, a nie pakiet坦w co jest innowacyjn cech wynalazku.
Platforma do automatycznej, obiektywnej oceny jako絆i us鐚g transmisji wideo from Mikolaj Leszczuk
]]> 163 2 https://cdn.slidesharecdn.com/ss_thumbnails/dw2017-leszczuk-170303104309-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 Modelling of Quality of Experience in No-Reference (NR) Model /MikolajLeszczuk/modelling-of-quality-of-experience-in-noreference-nr-model modellingofqualityofexperienceinno-referencemodel-161130091811
The key objective of No-Reference (NR) visual metrics is to predict the end-user experience concerning remotely delivered video content. Rapidly increasing demand for easily accessible, high quality video material makes it crucial for service providers to test the user experience without the need for comparison with reference material. Nevertheless, the QoE measurement is not enough. The information about the source or error is very important as well. Therefore the described system is based on calculating numerous different NR indicators which are combined in order to provide the overall quality score. We described more quality indicators than are used in the QoE calculation since some of them detects specific errors. Such specific errors are difficult to include in a global QoE model but are important from the operation point of view. ]]>
The key objective of No-Reference (NR) visual metrics is to predict the end-user experience concerning remotely delivered video content. Rapidly increasing demand for easily accessible, high quality video material makes it crucial for service providers to test the user experience without the need for comparison with reference material. Nevertheless, the QoE measurement is not enough. The information about the source or error is very important as well. Therefore the described system is based on calculating numerous different NR indicators which are combined in order to provide the overall quality score. We described more quality indicators than are used in the QoE calculation since some of them detects specific errors. Such specific errors are difficult to include in a global QoE model but are important from the operation point of view. ]]> Wed, 30 Nov 2016 09:18:11 GMT /MikolajLeszczuk/modelling-of-quality-of-experience-in-noreference-nr-model MikolajLeszczuk@slideshare.net(MikolajLeszczuk) Modelling of Quality of Experience in No-Reference (NR) Model MikolajLeszczuk The key objective of No-Reference (NR) visual metrics is to predict the end-user experience concerning remotely delivered video content. Rapidly increasing demand for easily accessible, high quality video material makes it crucial for service providers to test the user experience without the need for comparison with reference material. Nevertheless, the QoE measurement is not enough. The information about the source or error is very important as well. Therefore the described system is based on calculating numerous different NR indicators which are combined in order to provide the overall quality score. We described more quality indicators than are used in the QoE calculation since some of them detects specific errors. Such specific errors are difficult to include in a global QoE model but are important from the operation point of view. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/modellingofqualityofexperienceinno-referencemodel-161130091811-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The key objective of No-Reference (NR) visual metrics is to predict the end-user experience concerning remotely delivered video content. Rapidly increasing demand for easily accessible, high quality video material makes it crucial for service providers to test the user experience without the need for comparison with reference material. Nevertheless, the QoE measurement is not enough. The information about the source or error is very important as well. Therefore the described system is based on calculating numerous different NR indicators which are combined in order to provide the overall quality score. We described more quality indicators than are used in the QoE calculation since some of them detects specific errors. Such specific errors are difficult to include in a global QoE model but are important from the operation point of view.
Modelling of Quality of Experience in No-Reference (NR) Model from Mikolaj Leszczuk
]]> 242 2 https://cdn.slidesharecdn.com/ss_thumbnails/modellingofqualityofexperienceinno-referencemodel-161130091811-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-MikolajLeszczuk-48x48.jpg?cb=1667488270 Mikoaj Leszczuk, PhD. He started his professional career in 1996 at COMARCH SA as manager of the Multimedia Technology Department, and then at COMARCH Multimedia as the CEO. Since 1999 has been employed at the AGH Department of Telecommunications. In 2000 he moved to Spain for a four-month scholarship at the Universidad Carlos III de Madrid. After returning to Poland, he was employed at the Department of Telecommunications as a research and teaching assistant, and in 2006, he successfully defended his doctoral dissertation as an assistant professor. His current research interests are focused on multimedia data analysis and processing systems, with particular emphasis on Quality of Experi... http://www.kt.agh.edu.pl/~miklesz/ https://cdn.slidesharecdn.com/ss_thumbnails/selectedaspectsofthenewrecommendationonsubjectivemethodsofassessingvideoqualityinrecognitiontasks-221018122952-5442960b-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/selected-aspects-of-the-new-recommendation-on-subjective-methods-of-assessing-video-quality-in-recognition-taskspptx/253677572 Selected Aspects of th... https://cdn.slidesharecdn.com/ss_thumbnails/huaweislides-201011152453-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/survey-on-the-stateoftheart-methods-for-objective-video-quality-assessment-in-recognition-tasks/238831058 Survey on the State-Of... https://cdn.slidesharecdn.com/ss_thumbnails/vqegquadrivia2020-200312191521-thumbnail.jpg?width=320&height=320&fit=bounds MikolajLeszczuk/vqeg-quadrivia-2020 #VQEG #QUADRIVIA 2020