Improving Low Bitrate Video Coding via Computation Incorporating A Priori Information  

作　　者：Tao Xiaoming Dong Linhao Li Shaoyang Li Yang Ge Ning Lu Jianhua 

机构地区：[1]Department of Electronics Engineering, Tsinghua University [2]School of Aerospace Engineering, Tsinghua University

出　　处：《China Communications》2015年第9期22-34,共13页中国通信（英文版）

基　　金：supported by the National Basic Research Project of China (973) (2013CB329006);National Natural Science Foundation of China (NSFC, 61101071,61471220, 61021001);Tsinghua University Initiative Scientific Research Program

摘　　要：The growing number of mobile users, as well as the diversification in types of services have resulted in increasing demands for wireless network bandwidth in recent years. Although evolving transmission techniques are able to enlarge the network capacity to some degree, they still cannot satisfy the requirements of mobile users. Meanwhile, following Moore's Law, the data processing capabilities of mobile user terminals are continuously improving. In this paper, we explore possible methods of trading strong computational power at wireless terminals for transmission efficiency of communications. Taking the specific scenario of wireless video conversation, we propose a model-based video coding scheme by learning the structures in multimedia contents. Benefiting from both strong computing capability and pre-learned model priors, only low-dimensional parameters need to be transmitted; and the intact multimedia contents can also be reconstructed at the receivers in real-time. Experiment results indicate that, compared to conventional video codecs, the proposed scheme significantly reduces the data rate with the aid of computational capability at wireless terminals.The growing number of mobile users, as well as the diversification in types of services have resulted in increasing demands for wireless network bandwidth in recent years. Although evolving transmission techniques are able to enlarge the network capacity to some degree, they still cannot satisfy the requirements of mobile users. Meanwhile, following Moore＇s Law, the data processing capabilities of mobile user terminals are continuously improving. In this paper, we explore possible methods of trading strong computational power at wireless terminals for transmission efficiency of communications. Taking the specific scenario of wireless video conversation, we propose a model-based video coding scheme by learning the structures in multimedia contents. Benefiting from both strong computing capability and pre-learned model priors, only low-dimensional parameters need to be transmitted; and the intact multimedia contents can also be reconstructed at the receivers in real-time. Experiment results indicate that, compared to conventional video codecs, the proposed scheme significantly reduces the data rate with the aid of computational capability at wireless terminals.

关 键 词：computational communications a priori information bandwidth-limited wireless communications model-based video coding 

分 类 号：TN919.8[电子电信—通信与信息系统]