Content-based audio retrieval with relevance feedback
Pattern Recognition Letters
Characterizing Multimedia Objects through Multimodal Content Analysis and Fuzzy Fingerprints
Advanced Internet Based Systems and Applications
IEEE Transactions on Image Processing
A degree-of-edit ranking for consumer generated video retrieval
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
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This paper presents an integrated framework for interactive content-based retrieval in video databases by means of visual queries. The proposed system incorporates algorithms for video shot detection, key-frame and shot selection, automated video object segmentation and tracking, and construction of multidimensional feature vectors using fuzzy classification of color, motion or texture segment properties. Retrieval is then performed in an interactive way by employing a parametric distance between feature vectors and updating distance parameters according to user requirements using relevance feedback. Experimental results demonstrate increased performance and flexibility according to user information needs.