电子学报2017，Vol.45Issue(7)：1567-1575,9.DOI:10.3969/j.issn.0372-2112.2017.07.004
基于视觉显著计算的视频流媒体渐进式表达方法
An Approach to Progressive Description of Video Streaming Based on Visual Saliency Computation
摘要
Abstract
In order to balance the contradiction among network bandwidth,video quality and subscriber's real-time access,a new approach to progressive description of video streaming based on visual saliency computation is proposed in this paper.On the basis of video content analysis and comprehension,scene classification and Visual Sensitive Region(VSR) extraction are performed firstly.Secondly,frame importance according to coding information and slice data importance are determined.Finally,based on visual saliency computation,a new approach to progressive description of video streaming adapted to network bandwidth and quality scalability is proposed in this paper.Applying MGS Coding,experimental study is performed on video sequence with salient region and cluttered regions in network simulation platform,the experimental results show that the progressive description based on visual saliency computation proposed in this paper is accurate and effective.关键词
视频流媒体/视觉显著计算/渐进式表达/MGS编码/码流提取Key words
video streaming/visual saliency computation/progressive description/MGS coding/bitstream extraction分类
信息技术与安全科学引用本文复制引用
梁永生,柳伟,周莺,魏泽锋,张基宏..基于视觉显著计算的视频流媒体渐进式表达方法[J].电子学报,2017,45(7):1567-1575,9.基金项目
国家自然科学基金(No.61172165) （No.61172165）
广东省自然科学基金(No.S2011010000697) （No.S2011010000697）
广东省高等职业院校珠江学者岗位计划(2011) （2011）
深圳市基础研究计划-杰出青年基金(No.JC201005280613A) （No.JC201005280613A）
深圳市基础研究(学科布局)计划(No.基20160225) （学科布局）
