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  • Research Article
  • Open Access

Content-Aware Video Adaptation under Low-Bitrate Constraint

  • 1Email author,
  • 1,
  • 1,
  • 1 and
  • 1
EURASIP Journal on Advances in Signal Processing20072007:017179

  • Received: 1 September 2006
  • Accepted: 14 May 2007
  • Published:


With the development of wireless network and the improvement of mobile device capability, video streaming is more and more widespread in such an environment. Under the condition of limited resource and inherent constraints, appropriate video adaptations have become one of the most important and challenging issues in wireless multimedia applications. In this paper, we propose a novel content-aware video adaptation in order to effectively utilize resource and improve visual perceptual quality. First, the attention model is derived from analyzing the characteristics of brightness, location, motion vector, and energy features in compressed domain to reduce computation complexity. Then, through the integration of attention model, capability of client device and correlational statistic model, attractive regions of video scenes are derived. The information object- (IOB-) weighted rate distortion model is used for adjusting the bit allocation. Finally, the video adaptation scheme dynamically adjusts video bitstream in frame level and object level. Experimental results validate that the proposed scheme achieves better visual quality effectively and efficiently.


  • Motion Vector
  • Video Streaming
  • Perceptual Quality
  • Attention Model
  • Rate Distortion

Authors’ Affiliations

College of Computer Science, National Chiao Tung University, 1001 Ta-Hsueh Road, Hsinchu, 300, Taiwan


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© Ming-Ho Hsiao et al. 2007

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.