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Object based coding of video sequences at low bit rates using adaptively trained neural networks

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3 Author(s)
N. D. Doulamis ; Dept. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Greece ; A. D. Doulamis ; S. D. Kollias

Unsupervised video object segmentation is proposed in this paper, using an adaptively trained neural network structure followed by a face and body detection scheme. The latter uses probabilistic modeling for applying the face and body detection task. The algorithm is incorporated along with a rate control mechanism, which allocates more bits to regions of importance, such as humans in video conferencing applications than to unimportant ones. The compatibility to block-based encoders, such as the MPEG-1/2 and the H.263, is retained, so that the proposed scheme can further improve their coding efficiency

Published in:

Electronics, Circuits and Systems, 1999. Proceedings of ICECS '99. The 6th IEEE International Conference on  (Volume:2 )

Date of Conference:

5-8 Sep 1999