IPIU 2018 (제30회 영상처리 및 이해에 관한 워크샵)
Current Result Document :
| 한글제목(Korean Title) |
Learning based MV-HEVC Disparity Compensation |
| 영문제목(English Title) |
Learning based MV-HEVC Disparity Compensation |
| 저자(Author) |
WEI LIU
WEI LI
SUJING PAN
TaeHoon Yoon
SangUn Park
Yong Beom Cho
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| 원문수록처(Citation) |
VOL 30 NO. 01 PP. P1 ~ 0073 (2018. 02) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
This paper presents the use of support vector machine to replace DC (disparity compensation) in multi-view HEVC decoder. MV-HEVC provides support for coding multiple views with inter-layer prediction. It is being designed as a high-level syntax only extension to allow reuse of existing decoder components. In the profile of MV-HEVC decoder, we can see that DC module takes up a large part, especially when the number of cameras increases, and video pixels are high such as 2048×1556 and 1920 x 1080. Based on the above reasons, we are using HEVC features on CTU depth, bit allocation, and motion vector (MV) to predict P view and B view replace disparity compensation to improve MV-HEVC decoding frame rate. The experiment result show that the proposed method improves 1.3 times frame rate compare with HTM 16.0.
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