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Coding unit complexity-based predictions of coding unit depth and prediction unit mode for efficient HEVC-to-SHVC transcoding with quality scalability

Yeh, Chia-Hung ; Tseng, Wen-Yu ; Kang, Li-Wei ; Lee, Cheng-Wei ; Muchtar, Kahlil ; Chen, Mei-Juan

Journal of Visual Communication and Image Representation, August 2018, Vol.55, pp.342-351 [Tạp chí có phản biện]

ISSN: 1047-3203 ; E-ISSN: 1095-9076 ; DOI: 10.1016/j.jvcir.2018.06.008

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  • Nhan đề:
    Coding unit complexity-based predictions of coding unit depth and prediction unit mode for efficient HEVC-to-SHVC transcoding with quality scalability
  • Tác giả: Yeh, Chia-Hung ; Tseng, Wen-Yu ; Kang, Li-Wei ; Lee, Cheng-Wei ; Muchtar, Kahlil ; Chen, Mei-Juan
  • Chủ đề: Hevc (High Efficiency Video Coding) ; Shvc (Scalability Extension of Hevc) ; Video Transcoding ; Scalable Video Coding ; Early Termination ; Coding Unit Complexity ; Engineering ; Journalism & Communications
  • Là 1 phần của: Journal of Visual Communication and Image Representation, August 2018, Vol.55, pp.342-351
  • Mô tả: To support good video quality of experiences in heterogeneous environments, transcoding an existed HEVC (high efficiency video coding) video bitstream to a SHVC (scalability extension of HEVC) bitstream with quality scalability is highly required. A straightforward way is to first fully decode the input HEVC bitstream and then fully re-encode it with the SHVC encoder, which requires a tremendous computational complexity. To solve the problem, in this paper, a coding unit complexity (CUC)-based prediction method for predictions of CU (coding unit) depth and PU (prediction unit) mode for efficient HEVC-to-SHVC transcoding with quality scalability is proposed to significantly reduce the transcoding complexity. The proposed method contains two prediction techniques, including (i) early termination and (ii) adaptive confidence interval, and predicts the CU depth and PU mode relying on the decoded information from the input HEVC bitstream. Experimental results have shown that the proposed...
  • Ngôn ngữ: English
  • Số nhận dạng: ISSN: 1047-3203 ; E-ISSN: 1095-9076 ; DOI: 10.1016/j.jvcir.2018.06.008

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