Title :
Online compression of video sequences using adaptive VQ codebooks
Author :
Wang, Xiaomei ; Shende, Sunil M. ; Sayood, Khalid
Author_Institution :
Nebraska Univ., Lincoln, NE, USA
Abstract :
Proposes a novel approach that combines the space covering property of high rate lattice VQ with the pattern matching ability of clustering VQ. The proposed scheme encompasses a broad range of online algorithms that use suitable VQ encodings and fixed-size, adaptive codebooks. The generic baseline algorithm for the scheme has the following desirable characteristics: the distortion per individual vector is guaranteed to be less than a user specified threshold. Secondly, the algorithm is amenable to fast realtime implementation and requires minimal statistical assumptions for analysis. Finally, with careful analysis, the coding rate can be bounded with respect to some theoretical benchmark
Keywords :
data compression; image coding; image sequences; vector quantisation; video signals; VQ encodings; adaptive VQ codebooks; coding rate; distortion per individual vector; fixed-size adaptive codebooks; generic baseline algorithm; online algorithms; online compression; pattern matching ability; realtime implementation; space covering properties; statistical assumptions; video sequences; Algorithm design and analysis; Bandwidth; Clustering algorithms; Image coding; Lattices; Pattern matching; Performance analysis; Statistics; Vector quantization; Video sequences;
Conference_Titel :
Data Compression Conference, 1994. DCC '94. Proceedings
Conference_Location :
Snowbird, UT
Print_ISBN :
0-8186-5637-9
DOI :
10.1109/DCC.1994.305926