ROI Scalability method based on H.264/SVC

H.264/SVC를 기반으로 한 ROI확장성 방법

  • 이정환 (고려학교 컴퓨터 전파통신 공학과) ;
  • 유혁 (고려학교 컴퓨터 전파통신 공학과)
  • Received : 2009.01.06
  • Accepted : 2009.03.18
  • Published : 2009.03.31

Abstract

The H.264/SVC enables network-adaptive video transmission to smart device which uses wireless network. But, quality scalability of H.264/SVC does not consider personal subjective image quality. In addition, its network efficiency also does not optimized because it uses MGS(Medium Grained Scalability) and CGS(Coarse Grained Scalability). Thus, this paper proposed a new scalable ROI algorithm for not only subjective image quality improvement but also network adaptation. To experiment our proposed a scheme, we added designed algorithm to JSVM(Joint Scalable Video Model) open source video codec of H.264/SVC. Experiment was performed according to the pre-defined scenario for simulating various network conditions. Finally, experimental result showed our proposed scalable ROI scheme. It is better than traditional non-selective scheme in subjective video quality.

Keywords

References

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