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An Adaptive Quantization Algorithm for MPEG-2 Video Coding
作者姓名:邹采荣  骆立俊  杨绿溪  何振亚
作者单位:Department of Radio Engineering,Southeast University,Nanjing 210018
摘    要:AnAdaptiveQuantizationAlgorithmforMPEG2VideoCodingZouCairong(邹采荣)LuoLijun(骆立俊)YangLüxi(杨绿溪)HeZhenya(何振亚)(DepartmentofRadioE...


An Adaptive Quantization Algorithm for MPEG 2 Video Coding
Abstract:An adaptive quantization algorithm for MPEG 2 video coding using neural network is presented in this paper. The proposed algorithm uses BP neural network to divide the macroblock activity into one of four categories: flat, edge, texture, fine texture, and thus the macroblock can be quantized adaptively according to the human vision system (HVS) sensitivity. Experimental results show that this method can reduce blocky artifacts of flat area and distortion at edge effectively. Meanwhile, the picture subjective quality and objective quality of each frame are improved.
Keywords:MPEG2  video coding  adaptive quantization
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