Image sequence coding using adaptive finite-state vector quantization
- 1 March 1992
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Circuits and Systems for Video Technology
- Vol. 2 (1) , 15-24
- https://doi.org/10.1109/76.134368
Abstract
[[abstract]]A coding algorithm must have the ability to adapt to changing image characteristics for image sequences. An adaptive finite-state vector quantization (FSVQ) in which the bit rate and the encoding time can be reduced is described. In order to improve the image quality and avoid producing a wrong state for an input vector, a threshold is used in FSVQ to decide whether to switch to a full searching VQ. The codebook is conditionally replenished according to a distortion threshold at a later time to reflect the local statistics of the current frame. After the codebook is replenished, one can quickly reconstruct the state codebooks of FSVQ using the state codebook selection algorithm. In the experiments, the improvement over the static SMVQ is up to 2.40 dB at nearly the same bit rate and the encoding time is only one-ninth the time required by the static SMVQ. Moreover, the improvement over the static VQ is up to 2.91 dB, and the encoding time is only three-fifths the time required by the static VQ for the image sequence 'Claire'.[[fileno]]2030201010027[[department]]資訊工程學Keywords
This publication has 20 references indexed in Scilit:
- A finite-state vector quantizer for low-rate image sequence codingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Low-rate image coding with finite-state vector quantizationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Image coding with finite state vector quantization utilizing extrapolation selectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Finite state vector quantization with an interleaved image source designed for reconstruction of lost packetsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- A finite state/frame difference interpolative vector quantizer for low rate image sequence codingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- New finite state vector quantizers for imagesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Subband coding of color images using finite state vector quantizationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- A dynamic finite-state vector quantization schemePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Image Compression Based On Vector Quantization With Finite MemoryOptical Engineering, 1987
- Finite-state vector quantization for waveform codingIEEE Transactions on Information Theory, 1985