VIDEO QUALITY ASSESSMENT VIA SUPERVISED TOPIC MODEL

被引：0

作者：

Guo, Qun ^{[1
,2
]}

Lu, Xiaoqiang ^{[1
]}

Yuan, Yuan ^{[1
]}

机构：

[1] Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr Opt IMagery Anal & Learning OPTIMAL, Xian 710119, Shaanxi, Peoples R China

[2] Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China

来源：

2014 IEEE CHINA SUMMIT & INTERNATIONAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (CHINASIP) | 2014年

关键词：

video quality assessment; motion trajectory; supervised topic model;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

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 spatio-temporal 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.

引用

页码：636 / 640

页数：5

共 20 条

[1]

Blei D.M., 2007, P 20 INT C NEUR INF, P121, DOI DOI 10.5555/2981562.2981578

[2] UNCERTAINTY RELATION FOR RESOLUTION IN SPACE, SPATIAL-FREQUENCY, AND ORIENTATION OPTIMIZED BY TWO-DIMENSIONAL VISUAL CORTICAL FILTERS [J].