Hierarchical image sequence coding with tree-structured vector quantization

Ulug Bayazit; William A. Pearlman

doi:10.1117/12.157925

22 October 1993 Hierarchical image sequence coding with tree-structured vector quantization

Ulug Bayazit, William A. Pearlman

Proceedings Volume 2094, Visual Communications and Image Processing '93; (1993) https://doi.org/10.1117/12.157925
Event: Visual Communications and Image Processing '93, 1993, Cambridge, MA, United States

Abstract

The paper presents two different approaches to image sequence coding which exploit the spatial frequency statistics as well as the spatial and temporal correlation present in the video signal. The first approach is the pyramidal decomposition of the Motion Compensated Frame Difference (MCFD) signal in the frequency domain and the subsequent coding by unbalanced Tree Structured Vector Quantizers (TSVQ) designed to match the statistics of the frequency bands. The type of TSVQ used in this study possess the advantage of low computational complexity with coding performance comparable to full-search vector quantization. The second approach is similar except that the order of motion estimation/compensation and pyramidal decomposition are interchanged.

Citation Download Citation

Ulug Bayazit and William A. Pearlman "Hierarchical image sequence coding with tree-structured vector quantization", Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); https://doi.org/10.1117/12.157925

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