FotoFile: a consumer multimedia organization and retrieval system
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Supporting audiovisual query using dynamic programming
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Applications of Video-Content Analysis and Retrieval
IEEE MultiMedia
Constructing table-of-content for videos
Multimedia Systems - Special section on video libraries
Multimedia Systems - Special section on video libraries
A framework to enable the semantic inferencing and querying of multimedia content
International Journal of Web Engineering and Technology
A knowledge-based moviemaking approach
AIKED'05 Proceedings of the 4th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering Data Bases
Multimedia ontology based computational framework for video annotation and retrieval
MCAM'07 Proceedings of the 2007 international conference on Multimedia content analysis and mining
Content-based organisation, analysis and retrieval of soccer video
International Journal of Computer Applications in Technology
An environment for video content indexing and retrieval base don visual features
WebMedia '09 Proceedings of the XV Brazilian Symposium on Multimedia and the Web
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Video compression and retrieval have been treated as separate problems in the past. We present an object-based video representation that facilitates both compression and retrieval. Typically in retrieval applications, a video sequence is subdivided in time into a set of shorter segments each of which contains similar content. These segments are represented by 2-D representative images called "key-frames" that greatly reduce amount of data that is searched. However, key-frames do not describe the motions and actions of objects within the segment. We propose a representation that extends the ideas of the key-frame to further include what we define as "key-objects". These key-objects consist of regions within a key-frame that move with similar motion. Thus our key-objects allow a retrieval system to more efficiently present information to users and assist them in browsing and retrieving relevant video content.