1 November 1989 Vector Quantization With Replenishment Technique For Video Signal Coding
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Proceedings Volume 1199, Visual Communications and Image Processing IV; (1989) https://doi.org/10.1117/12.970071
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States
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) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
H. Sun, C. N. Manikopoulos, "Vector Quantization With Replenishment Technique For Video Signal Coding", Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); doi: 10.1117/12.970071; https://doi.org/10.1117/12.970071
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