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

Volume

12

Issue

10

fYear

2005

Firstpage

685

Lastpage

688

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;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2005.855553

Filename

1510659