Title :
A novel objective no-reference metric for digital video quality assessment
Author :
Yang, Fuzheng ; Wan, Shuai ; Chang, Yilin ; Wu, Hong Ren
Author_Institution :
Nat. Key Lab. of ISN, Xidian Univ., Xi´´an, China
Abstract :
A novel objective no-reference metric is proposed for video quality assessment of digitally coded videos containing natural scenes. Taking account of the temporal dependency between adjacent images of the videos and characteristics of the human visual system, the spatial distortion of an image is predicted using the differences between the corresponding translational regions of high spatial complexity in two adjacent images, which are weighted according to temporal activities of the video. The overall video quality is measured by pooling the spatial distortions of all images in the video. Experiments using reconstructed video sequences indicate that the objective scores obtained by the proposed metric agree well with the subjective assessment scores.
Keywords :
computational complexity; data compression; distortion; image reconstruction; image sequences; natural scenes; spatiotemporal phenomena; video coding; HVS; NR; VQA; digital video quality assessment; digitally coded video; human visual system; image spatial distortion; natural scene; objective no-reference metric; temporal activity; video sequence reconstruction; Distortion measurement; Humans; Image reconstruction; Layout; PSNR; Quality assessment; Video compression; Video sequences; Visual system; Wireless application protocol; Digital video quality assessment (VQA); human visual system (HVS); no-reference (NR) metrics;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2005.855553
