H.264/SVC를 기반으로 한 ROI확장성 방법 : ROI Scalability method based on H.264/SVC
ROI Scalability method based on H.264/SVC
- 주제(키워드) H.264 , Scalable Video Coding , ROI(Region of Interesting) , MGS(Medium Grain Scalability)
- 발행기관 대한임베디드공학회
- 발행년도 2009
- 총서유형 Journal
- UCI G704-SER000010426.2009.4.1.004
- KCI ID ART001425570
- 본문언어 한국어
초록/요약
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.
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