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基于感知质量的视频编码优化

创建时间:  2018/11/05  侯雅荟   浏览次数:   返回

活动地点:校本部东区翔英楼T706室

活动时间:2018-11-07 14:00:38

行健讲坛学术讲座

344

时间:   2018年11月7日(周三)下午14:00-17:00

地点:   校本部东区翔英楼T706室

讲座:   基于感知质量的视频编码优化

演讲者:   美国南加州大学电子工程系 杨超 博士

演讲者简介:Chao Yang received his B.E. degree in Communication Engineering and Ph. D. degree in Communication and Information Systems from Shanghai University, Shanghai, China, in 2012 and 2017 respectively. From Nov. 2017 to Oct. 2018, he was a postdoctoral researcher at Media Communications Lab (MCL) in University of Southern California (USC), Los Angeles, USA. His research interests include video compression and video processing.

讲座摘要:Video compression has becoming more and more important due to the increasing demand for high-quality video services. The traditional video coding technologies like h.264/ h.265 have made great progress in video compression. Yet these video coding technologies mainly focus on compression video while achieving high objective quality, like PSNR. In this talk, I will introduce a data-driven Just-Noticeable-Difference (JND) based video coding, which mainly focuses on the subjective quality of compressed video. based on Satisfied User Ratio (SUR), video stream bitrate can be greatly reduced without perceptual loss.

邀请人:通信与信息工程学院  沈礼权研究员

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