We have developed a couple of web-based demonstrators for content-based video retrieval:
Lookapp
Lookapp, a system for automatic web based concept detector construction
based on third party cloud computing services.
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TubeTagger
TubeTagger is a concept-based video retrieval system that learns to detect visual concepts (like "soccer", "desert", or "interview") from web video material.
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Smart Video Buddy
Smart Video Buddy is our award-winning intelligent video recommender! Using latest computer
vision technology, the system mines a video stream for semantic concepts and recommends content accordingly.
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TubeFiler
TubeFiler is an automatic genre categorizer for YouTube videos. The system assigns given tagged video clips to genre categories and semantic and visual clusters. We participated with TubeFiler in the ACM Multimedia Google Grand Challenge.
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InViRe
InViRe shows video-based similarity search for TV content. The system uses video fingerprints based on color, texture, and motion.
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Navidgator
Navidgator realizes a visual browsing of image and video collections. Using a hierarchical clustering, content is arranged according to its visual similarity and can be browsed at different granularities (i.e. you can "zoom" into the image collection).
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