By Topic

Spatial-Temporal Distortion Metrics for Video

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Chunting Yang ; Fac. of Inf. & Electron. Eng., Zhejiang Univ. of Sci. & Technol., Hangzhou, China ; Lian Zhao ; Zaiyi Liao

Accurate objective quality metrics are of great potential benefit to the video industry, as they promise the means to evaluate the performance of acquisition, display, coding and communication systems. Many researchers have focused on developing digital video quality metrics which produce results that accurately emulate subjective responses. However, to be widely applicable a metric must also work over a wide range of quality, and be useful for in-service quality monitoring. We have developed novel spatial-temporal distortion metrics for video sequences. This metric is capable of capturing spatial distortions in video sequences, in addition to temporal artifacts. And it can quantify the spatial distortion and differentiate the type of distortion. Furthermore the metric correlate well with subjective quality measures because perception distortions of human were took account of. Results are presented that demonstrate our perceptual quality metric performs better than existing methods.

Published in:

Computer Science and Information Engineering, 2009 WRI World Congress on  (Volume:7 )

Date of Conference:

March 31 2009-April 2 2009