Rate-distortion based video coding with adaptive mean-removed vector quantization

In this paper we improve the rate-distortion performance of a previously proposed video coder based on frame replenishment and adaptive mean-removed vector quantization. This is realized by determining for each block of a given frame the optimal encoding mode in the rate-distortion sense. The algorithm is a new contribution to very low bit rate video coding with adaptive vector quantization suitable for videophone applications. Experimental results comparing the two coders for several test sequences at different bit rates are provided.

[1]  Allen Gersho,et al.  Vector quantization and signal compression , 1991, The Kluwer international series in engineering and computer science.

[2]  Sanjit K. Mitra,et al.  Adaptive vector quantization for image coding in an entropy-constrained framework , 1994, Proceedings of 1st International Conference on Image Processing.

[3]  Sanjit K. Mitra,et al.  Image-adaptive vector quantization in an entropy-constrained framework , 1997, IEEE Trans. Image Process..

[4]  Jan Biemond,et al.  An optimal bit allocation algorithm for sub-band coding , 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

[5]  Khalid Sayood,et al.  Online compression of video sequences using adaptive VQ codebooks , 1994, Proceedings of IEEE Data Compression Conference (DCC'94).

[6]  Allen Gersho,et al.  Adaptive vector quantization by progressive codevector replacement , 1985, ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing.

[7]  Dietmar Saupe,et al.  Real-time very low bit rate video coding with adaptive mean-removed vector quantization , 1997, Proceedings of International Conference on Image Processing.

[8]  James E. Fowler,et al.  Adaptive vector quantization using generalized threshold replenishment , 1997, Proceedings DCC '97. Data Compression Conference.