Recent Developments and Future Trends in Visual Quality Assessment
The visual quality assessment approaches and their classification are introduced. Recent developments on both image and video quality metrics, as well as several publicly available databases for both images and videos, are reviewed. Then, we conduct experiments on image and video quality databases to compare the performance of some existing state-ofthe- art visual quality metrics. It is shown that multi-metric fusion (MMF) and motion-based video integrity evaluation (MOVIE) are the best methods for image and video quality assessment, respectively. Finally, future trends in visual quality assessment are discussed.
Tsung-Jung Liu Weisi Lin C.-C. Jay Kuo
Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA School of Computer Engineering, Nanyang Technological University, Singapore 639798, Singapore
国际会议
2011亚太信号与信息处理协会年度峰会(APSIPAASC 2011)
西安
英文
1-10
2011-10-18（万方平台首次上网日期，不代表论文的发表时间）