DocumentCode :
3267953
Title :
An adaptive quantization-mapping model for MPEG encoders
Author :
Zhang, Ning Nick ; Wu, Chwan-Hwa John ; Irwin, J.D.
Author_Institution :
Dept. of Electr. Eng., Auburn Univ., AL, USA
fYear :
1996
fDate :
2-6 Dec 1996
Firstpage :
470
Lastpage :
474
Abstract :
Concerns video compression. We present our work on the adaptive modeling of quantization process at macro block layer of MPEG encoders. A binary tree (B-tree) fuzzy interpolation algorithm for data approximation and online adaptation which adjusts the parameters of MSFs according to domain data have been used to build the model. Our experimental results have shown that the adaptive model has better performance than its nonadaptive counterpart as well as the look-up table method widely used and reported in literature, which suggests that improvements can be well expected if the model is applied to the design of quantization control schemes for MPEG encoders
Keywords :
adaptive signal processing; data compression; fuzzy set theory; interpolation; quantisation (signal); trees (mathematics); video coding; B-tree fuzzy interpolation algorithm; MPEG encoders; adaptive model; adaptive quantization-mapping model; binary tree fuzzy interpolation algorithm; data approximation; look-up table method; macro block layer; online adaptation; quantization control schemes; quantization process; video compression; Bit rate; Context modeling; Discrete cosine transforms; Encoding; Interpolation; Quantization; Transform coding; Video compression; Video on demand; Videoconference;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Technology, 1996. (ICIT '96), Proceedings of The IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
0-7803-3104-4
Type :
conf
DOI :
10.1109/ICIT.1996.601633
Filename :
601633
Link To Document :
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