Vector quantization with replenishment technique for video signal coding

Document Type

Conference Proceeding

Publication Date

11-1-1989

Abstract

The digital representation of a video signal or image sequence requires a very large number of bits. The goal of image coding is to reduce this number as much as possible and reconstruct a faithful duplicate of the original pictures. Vector quantization has been applied to the coding of image sequences. An effective approach is to define the vector in the spatial domain and to directly exploit the temporal redundancy, that is the replenishment techniques. In an extension of the frame replenishment concept, the changes arising between consecutive frames can be coded by updating both the frame label map and codebook in vector quantization. In this paper, we propose two new label replenishment algorithms which are based on vector quantization. The first is the encoding of the frame label map. In the scheme of label replenishment, an extra bit is used as side information to indicate whether the label needs to be replenished. The resulting frame label map can be seen as a new binary image. This binary image is encoded by a run-length coding. The second algorithm is label combination coding. In the motion portion of an image sequence, the neighboring blocks in the previous frame may remain neighbors as they move together. Based upon this observation, the rate deduction can be obtained by coding the combination of the neighboring blocks. The simulation results have shown that a very low bit rate with good reproduction quality is obtained for image sequence coding. © 1989, SPIE.

Identifier

0024919231 (Scopus)

Publication Title

Proceedings of SPIE the International Society for Optical Engineering

External Full Text Location

https://doi.org/10.1117/12.970071

e-ISSN

1996756X

ISSN

0277786X

First Page

595

Last Page

605

Volume

1199

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