Video segmentation using spatial proximity, color, and motion information for region-based coding

Won Hak Hong; Nam Chul Kim; Sang-Mi Lee

doi:10.1117/12.185918

16 September 1994 Video segmentation using spatial proximity, color, and motion information for region-based coding

Won Hak Hong, Nam Chul Kim, Sang-Mi Lee

Proceedings Volume 2308, Visual Communications and Image Processing '94; (1994) https://doi.org/10.1117/12.185918
Event: Visual Communications and Image Processing '94, 1994, Chicago, IL, United States

Abstract

An efficient video segmentation algorithm with homogeneity measure to incorporate spatial proximity, color, and motion information simultaneously is presented for region-based coding. The procedure toward complete segmentation consists of two steps: primary segmentation, and secondary segmentation. In the primary segmentation, an input image is finely segmented by FSCL. In the secondary segmentation, a lot of small regions and similar regions generated in the preceding step are eliminated or merged by a fast RSST. Through some experiments, it is found that the proposed algorithm produces efficient segmentation results and the video coding system with this algorithm yields visually acceptable quality and PSNR equals 36 - 37 dB at a very low bitrate of about 13.2 kbits/s.

Citation Download Citation

Won Hak Hong, Nam Chul Kim, and Sang-Mi Lee "Video segmentation using spatial proximity, color, and motion information for region-based coding", Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); https://doi.org/10.1117/12.185918

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