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基于Gabor字典的低速率视频编码
引用本文:刘利雄,贾云得,廖斌.基于Gabor字典的低速率视频编码[J].北京理工大学学报,2007,27(7):594-598.
作者姓名:刘利雄  贾云得  廖斌
作者单位:北京理工大学,计算机科学技术学院,北京,100081;华北电力大学,电气与电子工程学院,北京,102206
基金项目:国家自然科学基金 , 国家高技术研究发展计划(863计划)
摘    要:针对匹配跟踪冗余信号分解的视频编码器搜索最佳匹配误差结构的原子函数时,实现所需运算量复杂的问题.提出基于可分离Gabor字典的匹配跟踪算法,利用一种改进的最佳时频原子搜索策略,使实现算法的计算量显著下降.实验结果表明,在保持原有编码性能的基础上,该算法在视频编码应用中有效地降低了算法复杂度.

关 键 词:视频编码  匹配跟踪  Gabor字典  原子搜索
文章编号:1001-0645(2007)07-0594-05
收稿时间:2006/10/19 0:00:00
修稿时间:2006-10-19

Low Bit-Rate Video Coding Based on Gabor Dictionary
LIU Li-xiong,JIA Yun-de and LIAO Bin.Low Bit-Rate Video Coding Based on Gabor Dictionary[J].Journal of Beijing Institute of Technology(Natural Science Edition),2007,27(7):594-598.
Authors:LIU Li-xiong  JIA Yun-de and LIAO Bin
Institution:1. School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China; 2. School of Electric and Electronic Engineering, North China Electric Power University, Beijing 102206, China
Abstract:The computation complexity of the video coders based on matching pursuit is much higher,because of laboriously searching optimal atoms in a redundant dictionary.This paper proposes a video coding algorithm based on discreted Gabor dictionary,which incorporates an improved searching scheme using optimal timefrequency atoms,thus reduces the computation complexity of the original algorithm greatly.Experiment results show the algorithm can keep original coding efficiency and reduce the computation complexity efficiently.
Keywords:video coding  matching pursuit  Gabor dictionary  atom searching
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