Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article An Attention-Information-Based Spatial Adaptation Framework for Browsing Videos via Mobile Devices | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 25415 12 pages doi 2007 25415 Research Article An Attention-Information-Based Spatial Adaptation Framework for Browsing Videos via Mobile Devices Houqiang Li Yi Wang and Chang Wen Chen Department of Electronic Engineering and Information Science EEIS University of Science and Technology of China Hefei 230027 China Received 1 September 2006 Revised 8 February 2007 Accepted 3 May 2007 Recommended by Chia-Wen Lin With the growing popularity of personal digital assistant devices and smart phones more and more consumers are becoming quite enthusiastic to appreciate videos via mobile devices. However limited display size of the mobile devices has been imposing significant barriers for users to enjoy browsing high-resolution videos. In this paper we present an attention-information-based spatial adaptation framework to address this problem. The whole framework includes two major parts video content generation and video adaptation system. During video compression the attention information in video sequences will be detected using an attention model and embedded into bitstreams with proposed supplement-enhanced information SEI structure. Furthermore we also develop an innovative scheme to adaptively adjust quantization parameters in order to simultaneously improve the quality of overall encoding and the quality of transcoding the attention areas. When the high-resolution bitstream is transmitted to mobile users a fast transcoding algorithm we developed earlier will be applied to generate a new bitstream for attention areas in frames. The new low-resolution bitstream containing mostly attention information instead of the high-resolution one will be sent to users for display on the mobile devices. Experimental results show that the proposed spatial adaptation scheme is able to improve both subjective and objective video qualities. Copyright 2007 Houqiang Li et al. .
