Video segmentation using spatial proximity, color, and motion information for region-based coding
Won Hak Hong, Nam Chul Kim, Sang-Mi Lee · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1994
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.