Merging storyboard strategies and automatic retrieval for improving interactive video search
Proceedings of the 6th ACM international conference on Image and video retrieval
A Learned Lexicon-Driven Paradigm for Interactive Video Retrieval
IEEE Transactions on Multimedia
Video sequence querying using clustering of objects' appearance models
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
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The Carnegie Mellon University Informedia group has enjoyed consistent success with TRECVID interactive search using traditional storyboard interfaces for shot-based retrieval. For TRECVID 2006 the output of automatic search was included for the first time with storyboards, as an option for an interactive user. This access mechanism, query-by-best-of-topic, complements other access strategies, namely query-by-text (dominated by closed captioned text), query-by-image (primarily color-based syntactic lookup), and query-by-concept (using concept classifiers trained through machine learning techniques). The interface is tuned to support efficient performance required for TRECVID interactive search tasks where a maximum of 15 minutes can be spent per task. This 4-strategy Informedia interface scored significantly better than all other TRECVID 2006 interactive search systems. Interface attributes will be demonstrated in shot-based retrieval from news corpora.