By Topic

Stereoscopic video quality assessment model based on spatial-temporal structural information

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)
Jingjing Han ; Nat. Eng. Lab. for Video Technol., Peking Univ., Beijing, China ; Tingting Jiang ; Siwei Ma

Most of the existing 3D video quality assessment methods estimate the quality of each view independently and then pool them into unique objective score. Besides, they seldom take the motion information of adjacent frames into consideration. In this paper, we propose an effective stereoscopic video quality assessment method which focuses on the inter-view correlation of spatial-temporal structural information extracted from adjacent frames. The metric jointly represents and evaluates two views. By selecting salient pixels to be processed and discarding the others, the processing speed is significantly improved. Experimental results on our stereoscopic video database show that the proposed algorithm correlates well with subjective scores.

Published in:

Visual Communications and Image Processing (VCIP), 2012 IEEE

Date of Conference:

27-30 Nov. 2012