A Video Quality Evaluation Method Based on Temporal and Spatial Complexity
To make video quality evaluation method to be more consistent with human perception, a new non-reference video quality assessment algorithm based on temporal and spatial complexity will be proposed in this paper, in which video dynamics is used as temporal complexity, and image edge features and block are used as spatial complexity. This algorithm calculates 20 different sequences using three methods: subjective evaluation method, full-reference video evaluation method PEVQ and the method proposed by this paper. Experimental results show that this algorithm can calculate video evaluation results compatible more precisely with human perception, more consistent with subjective evaluation method, and have greater advantage compared to full-reference video quality assessment.
video quality non-reference temporal spatial complexity
Zhao Ting Jia Lin Li Yong li
Institute of Network Technology Beijing University of Posts and Telecommunications Beijing, China Beijing ZhongChuang Telecom Test Co., Ltd Beijing, China
国际会议
重庆
英文
146-150
2011-01-21（万方平台首次上网日期，不代表论文的发表时间）