Open Access

Content-Based Distortion Control Scheme for High-Quality Wireless Multimedia Services

  • Chang Sun1Email author,
  • Hong-Jun Wang1, 2,
  • Seoksoo Kim3,
  • Young-Sil Kim4,
  • Seung-youn Lee5 and
  • Xin-Bo Yu1
EURASIP Journal on Wireless Communications and Networking20082008:902592

https://doi.org/10.1155/2008/902592

Received: 24 January 2008

Accepted: 15 April 2008

Published: 24 April 2008

Abstract

In recent years, the wireless mobile markets are witnessing an unprecedented growth. High-quality video service will be greatly needed as one of the hottest wireless multimedia services in the future generation wireless networks. In this paper, a novel content-based distortion control scheme is proposed to provide higher quality of the wireless video services. Our scheme adopts rate-distortion optimization techniques in state-of-the-art video coding standard H.264/AVC. In order to improve the subjective video quality in the process of encode, we create three visual distortion sensitivity models to minimize the perceptual distortion. We arrange more bits to visual distortion sensitive macroblocks during rate-distortion optimization process. The perceptual distortion in these regions is thus efficiently controlled with a relatively higher rate. Meanwhile, rate balance is achieved by allotting fewer bits to macroblocks that are perceptually less sensitive to distortion. Experiments results show that the subjective qualities of encoded video are improved without compromising PSNR.

Publisher note

To access the full article, please see PDF

Authors’ Affiliations

(1)
School of Information Science and Engineering, Shandong University
(2)
School of Electronic and Information Engineering, Tianjin University
(3)
Department of Multimedia Engineering, Hannam University
(4)
Department of Computer Science and Information, Daelim College
(5)
Department of Electrical Information Control, Dong Seoul College

Copyright

© Chang Sun et al. 2008

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.