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Video Adaptation for Small Display Based on Content Recomposition

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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:

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