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MPEG-4 Video Rate Control Algorithm using SOFM-Based Neural Classifier  

Park, Gwang-Hoon (Dept.of Electronics Information, Kyunghee University)
Lee, Yoon-Jin (Dept.of Electronics Information, Kyunghee University)
Publication Information
Journal of KIISE:Software and Applications / v.29, no.7, 2002 , pp. 425-435 More about this Journal
Abstract
This paper introduces a macroblock-based rate control algorithm using the neural classifier based in Self Organization feature Maps (SOFM). In contrast to the conventional rate control methods based on the mathematical rate distortion (RD) model and the feedback regression, proposed method can actively adapt to the rapid-varying image characteristics by establishing the global model for bitrate control and by using the SOFM based neural classifier to manage that model. Proposed rate control algorithm has 0.2 dB ~ 0.6 dB better performances than MPEG-4 macroblock-based rate control algorithm by evaluating with the encoded Peak Signal to Noise Ratios while maintaining similar overall computational complexity.
Keywords
MPEG; MPEG; Video Coding; Rate Control;
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