Goals: Practical large scale content analysis
Professional Experience:
Video to Text Translation without using Expensive Frame-by-frame Manual Annotation:
鈥� Innovative formulation of unsupervised probabilistic latent variable models that allow discovery of topics from documents containing real life videos and very short summaries
鈥� Extensive experimentations with topic models that translate related words to video frames and also translate a new video to relevant keywords and then to natural language phrases and sentences using language models and parse trees
鈥� Provided solutions for scenarios where manual frame-by-frame annotation of real life longer videos are difficult and no
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Tags
topic modelingmachine learningtopic modelshierarchical classificationproduct taxonomy categorizationnatural language processingvideo to textclusteringlda
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