By Topic

Objective Quality Metric Based on Perception 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
$33 $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 ; Lian Zhao ; Zaiyi Liao

Objective quality assessment plays a very important role in the video applications, as they promise the means to evaluate the performance of acquisition, display, coding and communication systems. Objective video quality assessment still has a long way to go before it reaches the level of success. In this paper, we propose novel quality metrics for video sequences. These metrics are capable of capturing spatial distortions in video sequences, in addition to temporal artifacts. And they can quantify the spatial distortion and differentiate the type of distortion. Furthermore the metrics correlate well with the subjective quality measures because perception distortions of human have been taken into consideration. Experimental results show that our perceptual quality metric performs better than the existing methods.

Published in:

Computer Engineering and Technology, 2009. ICCET '09. International Conference on  (Volume:2 )

Date of Conference:

22-24 Jan. 2009