FAST VIDEO SHOT RETRIEVAL WITH SEQUENCE TRACE IN THE PRINCIP AL COMPONENT SPACE

Content-based video retrieval technology holds the key to the efficient management and sharing of video content from different sources, across different platforms and over different communication channels. In this work we present a fast retrieval algorithm based on matched filtering of the video sequence trace characteristics in the principal component space. Techniques to combat scale variance, noises and distortions are also investigated, resulted into a robust and fast content -based video shot retrieval solution.

[1]  Chiou-Ting Hsu,et al.  Motion trajectory based video indexing and retrieval , 2002, Proceedings. International Conference on Image Processing.

[2]  Ling Guan,et al.  Automatic relevance feedback for video retrieval , 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).

[3]  Janko Calic,et al.  A multiresolution technique for video indexing and retrieval , 2002, Proceedings. International Conference on Image Processing.

[4]  Eric R. Ziegel,et al.  The Elements of Statistical Learning , 2003, Technometrics.

[5]  John R. Smith,et al.  Interactive content-based retrieval of video , 2002, Proceedings. International Conference on Image Processing.

[6]  Sang Hyun Kim,et al.  An efficient algorithm for video sequence matching using the modified Hausdorff distance and the directed divergence , 2002, IEEE Trans. Circuits Syst. Video Technol..

[7]  Wen Gao,et al.  Video indexing by motion activity maps , 2002, Proceedings. International Conference on Image Processing.

[8]  Alan Hanjalic,et al.  Shot-boundary detection: unraveled and resolved? , 2002, IEEE Trans. Circuits Syst. Video Technol..

[9]  Rangasami L. Kashyap,et al.  Models for motion-based video indexing and retrieval , 2000, IEEE Trans. Image Process..

[10]  Shih-Fu Chang,et al.  A fully automated content-based video search engine supporting spatiotemporal queries , 1998, IEEE Trans. Circuits Syst. Video Technol..

[11]  Alan Hanjalic,et al.  Automated high-level movie segmentation for advanced video-retrieval systems , 1999, IEEE Trans. Circuits Syst. Video Technol..