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一种基于二次变换运动预测的有损分割图轮廓编码
引用本文:张颖,张兆扬,ZHANG Ying,ZHANG Zhao-yang.一种基于二次变换运动预测的有损分割图轮廓编码[J].上海大学学报(英文版),2000,4(3):214-219.
作者姓名:张颖  张兆扬  ZHANG Ying  ZHANG Zhao-yang
作者单位:ZHANG Ying,ZHANG Zhao yang School of Communication and Information Engineering,Shanghai University,Shanghai 200072,China
基金项目:upported by the National Natural Science Foundation of China !( 6 95 72 0 2 3),bytheKeyProjectfromtheShanghaiEducation Comm
摘    要:1  Introduction Theinterestinverylowbit ratevideocodinghasin creasedconsiderablywiththecreationofnewservicesandapplicationsrequiringthisclassofbitratesintheirfunction .Withthistrend ,object orientedvideocodingwasfirstproposedbyMusmannetal.in 19891 ],andhasbee…

收稿时间:18 January 2000

A lossy contour-based representation of segmentation maps using quadratic transformations motion prediction
Ying Zhang,Zhao-yang Zhang.A lossy contour-based representation of segmentation maps using quadratic transformations motion prediction[J].Journal of Shanghai University(English Edition),2000,4(3):214-219.
Authors:Ying Zhang  Zhao-yang Zhang
Institution:School of Communication and Information Engineering , Shanghai University, Shanghai 200072, China
Abstract:In the context of object oriented video coding, the encoding of segmentation maps defined by contour networks is particularly critical. In this paper, we present a lossy contour network encoding algorithm where both the rate distortion contour encoding based on maximum operator and the prediction error for the current frame based on quadratic motion model are combined into a optimal polygon contour network compression scheme. The bit rate for the contour network can be further reduced by about 20% in comparison with that in the optimal polygonal boundary encoding scheme using maximum operator in the rate distortion sense.
Keywords:contour network encoding  in the rate distortion sense  very low bit rate  object oriented video coding
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