Scheduled System Maintenance:
On May 6th, single article purchases and IEEE account management will be unavailable from 8:00 AM - 5:00 PM ET (12:00 - 21:00 UTC). We apologize for the inconvenience.
By Topic

Video Adaptation for Small Display Based on Content Recomposition

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)
Wen-Huang Cheng ; Graduate Inst. of Networking & Multimedia, Nat. Taiwan Univ., Taipei ; Chia-Wei Wang ; Ja-Ling Wu,

The browsing of quality videos on small hand-held devices is a common scenario in pervasive media environments. In this paper, we propose a novel framework for video adaptation based on content recomposition. Our objective is to provide effective small size videos which emphasize the important aspects of a scene while faithfully retaining the background context. That is achieved by explicitly separating the manipulation of different video objects. A generic video attention model is developed to extract user-interest objects, in which a high-level combination strategy is proposed for fusing the adopted three types of visual attention features: intensity, color, and motion. Based on the knowledge of media aesthetics, a set of aesthetic criteria is presented. Accordingly, these objects are well reintegrated with the direct-resized background to optimally match the specific screen sizes. Experimental results demonstrate the efficiency and effectiveness of our approach

Published in:

Circuits and Systems for Video Technology, IEEE Transactions on  (Volume:17 ,  Issue: 1 )