22 October 1993 Hierarchical image sequence coding with tree-structured vector quantization
Author Affiliations +
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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ulug Bayazit, Ulug Bayazit, William A. Pearlman, William A. Pearlman, "Hierarchical image sequence coding with tree-structured vector quantization", Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); doi: 10.1117/12.157925; https://doi.org/10.1117/12.157925
PROCEEDINGS
12 PAGES


SHARE
Back to Top