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Camera Motion Analysis towards Semantic-based Video Retrieval in Compressed Domain

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To reduce the semantic gap between low-level visual features and the richness of human semantics, this paper proposes new algorithms, by virtue of the combined camera motion descriptors with multi-threshold, to automatically retrieve the semantic concepts, i.e., close-up, and panorama, directly in MPEG compressed domain based on camera motion analysis. Extensive experiments illustrate that the proposed algorithms provide promising retrieval results under real-time application scenario and without human intervention 
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WP5: Detection, Extraction and Annotation of Knowledge. 
School of Informatics University of Bradford  Jianmin Jiang, Ying Weng 
2007-11-05 17:11  Request for more detail


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For educational purposes only - if public document.  For educational purposes only - if public document. 


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Copyright School of Informatics, University of Bradford.  Patent Pending. 
Licensing Pending.  Utility Model Pending. 
 
International conference on Semantics And digital Media Technologies (SAMT)2007, LNCS 4816, pp. 276–279, 2007. 
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