Title :
Adaptive quantization scheme for very low bit rate video coding
Author :
Zhike, Jia ; Huijuan, Cui ; Kun, Tang
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Abstract :
This paper presents an efficient two-layer adaptive quantization scheme, which uses Q-N (Quantization step-Number of output bits) mapping tables and fuzzy perceptual classifiers. With this adaptive quantization scheme, the consistent coding quality and good visual effect can be kept under constant bit rate.
Keywords :
adaptive codes; image classification; quantisation (signal); video coding; Q-N mapping tables; VLBR coding; fuzzy perceptual classifiers; two-layer adaptive quantization scheme; very low bit rate coding; video coding; Bit rate; Electronic mail; Humans; Image quality; Iterative decoding; Quantization; Statistics; Video coding; Video compression; Visual effects;
Conference_Titel :
Communications, 1999. APCC/OECC '99. Fifth Asia-Pacific Conference on ... and Fourth Optoelectronics and Communications Conference
Conference_Location :
Beijing, China
Print_ISBN :
7-5635-0402-8
DOI :
10.1109/APCC.1999.820418
