다양한 동영상 콘텐츠를 이용하는 사용자들의 단말기 성능이나 네트워크 상황, 또는 단말기의 해상도 등에 실시간으로 대응할 수 있는 영상 압축 방법으로 스케일러블 영상 코딩 (Scalable Video Coding, SVC)[1]을 사용하고 있다. 최근 JCT-VC(Joint Joint Collaborative Team on Video Coding)에서는 초고해상도를 타겟으로 하는 동영상 압축기술인 HEVC(Efficiency Video Coding)를 기반으로한 Scaleable HEVC(SHVC)[3]를 표준화 중에 있다. SHVC는 공간적(Spatial), 시간적(Temporal), 화질적(SNR) 스케일러빌러티를 제공을 하며, HEVC v.1에 비해 높은 복잡도를 가진다. 본 논문에서는 SHVC의 공간적 스케일러빌러티의 부호화 속도 개선을 위한 알고리즘 개발에 앞서 제한적 실험을 통한 통계적 분석을 하였다.
KSP Keywords
Joint Collaborative Team on Video Coding(JCT-VC), Scalable Video Coding
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