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Fuzzy Quantization and Rate Control for Very Low Bit­rate Video Coder  

양근호 (한려대학교 멀티미디정보통신공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.7, no.8, 2003 , pp. 1684-1690 More about this Journal
Abstract
In this paper, we proposed a fuzzy controller for the evaluation of the quantization Parameters in the H.263 coder to optimize the subjective quality of each coded frame, keeping the transmission rate constant. We adopted the Mamdani method for fuzzification and the centroid method for defuzzification. The energy and entropy are correlated to features of the HVS in spatial domain, while motion vectors are used to estimate the temporal characteristics of the signal. And then, the fuzzy inputs adapted the variance and the entropy in spatial domain, and the motion vector in temporal domain. We induced the fuzzy membership function and decided the fuzzy relevance to be compatible in visual characteristics. And then, we designed FAM banks. The fuzzy technology has been applied to a practical video compression. This results is obtained an effective rate control technique, an optimum bit allocation and a high subjective quality using fuzzy quantization.
Keywords
Fuzzy Relevance; Mamdani; Centroid; FAM banks;
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