Highly Efficient Low-Level Feature Extraction For Video Representation And Retrieval (2004)
Abstract / truncated to 115 words
Witnessing the omnipresence of ever complex yet so intuitive digital video media, research community has raised the question of its meaningful use and management. Stored in immense multimedia databases, digital videos need to be retrieved and structured in an intelligent way, relying on the content and the rich semantics involved. Therefore, the third generation of Content Based Video Indexing and Retrieval systems faces the problem of the semantic gap between the simplicity of the available visual features and the richness of user semantics. This work focuses on the issues of efficiency and scalability in video indexing and retrieval to facilitate a video representation model capable of semantic annotation. A highly efficient algorithm for temporal analysis ...
video retrieval – compressed domain processing – summarisation
Information
- Author
- Calic, Janko
- Institution
- Queen Mary University of London
- Supervisor
- Publication Year
- 2004
- Upload Date
- March 10, 2010
First few pages / click to enlarge
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