Video quality assessment via supervised topic model

CORC > 西安光学精密机械研究所 > 中国科学院西安光学精密机械研究所 > 瞬态光学技术国家重点实验室

	Video quality assessment via supervised topic model
	Guo, Qun1,2 ; Lu, Xiaoqiang1 ; Yuan, Yuan1
	2014
会议名称	2nd ieee china summit and international conference on signal and information processing, ieee chinasip 2014
会议日期	2014-07
会议地点	xi'an, china
页码	636-640
英文摘要	video quality assessment (vqa) plays a very important role in many video processing and communication systems. since video signals are ultimately delivered to human observers, an accurate objective video quality metric should agree well with judgment of human visual system (hvs). in this paper, a novel full-reference vqa scheme is developed to measure the perceived video quality in both local and global aspects. first, to account for the crucial impact of motion on perception, effective quality features are extracted from the local spatiooral volumes which are generated around the motion trajectories in the video. second, a statistical model is utilized to discover the latent relation between local quality and global perceived quality. experimental results on live database demonstrate promising performance of the proposed metric in comparison with state-of-the-art vqa metrics. © 2014 ieee.
收录类别	EI ; ISTP
产权排序	1
学科主题	计算机应用其他学科（含图像处理）
语种	英语
ISBN号	9781479954032
内容类型	会议论文
源URL	[http://ir.opt.ac.cn/handle/181661/27817]
专题	西安光学精密机械研究所_瞬态光学技术国家重点实验室
作者单位	1.Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient, Optics and Photonics, Chinese Academy of Sciences, Xi'an, Shaanxi, China 2.Graduate University of the Chinese Academy of Science, 19A Yuquanlu, Beijing, China
推荐引用方式 GB/T 7714	Guo, Qun,Lu, Xiaoqiang,Yuan, Yuan. Video quality assessment via supervised topic model[C]. 见:2nd ieee china summit and international conference on signal and information processing, ieee chinasip 2014. xi'an, china. 2014-07.