Columbia's Automatic Video Region Segmentation Software


Download C++ Binary for Windows platform (with test data and instructions included)

Contacts : Di Zhong and Shih-Fu Chang

Project home page

This is a system for automatic video region segmentation and tracking for general video sources. It fuses color, edge, and motion projection to track salient video regions over long video sequences. It has been tested over diverse content with satisfactory accuracy, and has been used in several of our video indexing systems, such as VideoQ.

Binary code is available in C++ version.


D. Zhong and S.-F. Chang, Video Object Model and Segmentation for Content-Based Video Indexing, IEEE International Symposium on Circuits and Systems (ISCAS'97), Hong Kong, June 1997, Special Session on Networked Multimedia Technology and Application.

D. Zhong and S.-F. Chang, An Integrated Approach for Content-Based Video Object Segmentation and Retrieval, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 9, No. 8, pp. 1259-1268, Dec. 1999.

D. Zhong and S.-F. Chang, Spatio-Temporal Video Search Using the Object Based Video Representation, Proceedings, 1997 International Conference on Image Processing (ICIP'97), Santa Barbara, CA, October 26-29, 1997 .

S.-F. Chang, W. Chen, H. J. Meng, H. Sundaram, and D. Zhong, VideoQ: An Automatic Content-Based Video Search System Using Visual Cues, Proceedings, ACM Multimedia '97 Conference, Seattle, WA, November 1997.



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Last updated: June 12, 2003.