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1
Error Concealment Methods for HEVC with Parameter Replacement and CNN-based Frame Interpolation

Daehyun Pak(박대현) 한국통신학회 2020 한국통신학회 학술대회논문집 Vol.2020 No.2
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2
Fast block size and mode decision algorithm for intra prediction in H.264/AVC

Kyungmin Lim,Seongwan Kim,Jaeho Lee,Daehyun Pak,Sangyoun Lee IEEE 2012 IEEE transactions on consumer electronics Vol.58 No.2
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<P>The H.264/AVC standard achieves high compression performance compared to existing video coding standards by employing the rate distortion optimization (RDO) technique. All possible combinations of modes are calculated to find the minimum rate distortion cost which results in significant computational complexity. In this paper, we propose a fast block size and mode decision method for intra prediction, which can effectively reduce computational burden. For fast block size decision, intra16x16 is selectively searched based on the homogeneity of inner-8x8 block of macroblock (MB). For fast mode decision, the search of intra16x16 and intra4x4 prediction modes is restricted by the similarity of the reference pixels. Moreover, by considering the similarities of the upper reference pixels and left reference pixels separately, considerable reduction of computational complexity is achieved. The results of simulations demonstrate maxima of 79% and 77% average time savings with negligible loss in PSNRY and bitrate.</P>
3
Intra Prediction Algorithm Using Adaptive Modes

Kyungmin Lim(임경민),Jaeho Lee(이재호),Seongwan Kim(김성완),Daehyun Pak(박대현),Sangyoun Lee(이상윤) 한국통신학회 2013 韓國通信學會論文誌 Vol.38 No.6C
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H.264/AVC는 화면 내, 화면 간 예측을 포함한 다양한 부호화 기술을 이용, 높은 부호화 성능을 보여준다. 그러나 화면 내 예측은 화면 간 예측에 비해 여전히 많은 부호화 데이터를 포함하고 있다. 본 논문에서는 적응적 모드선택 기술을 포함한 새로운 화면 내 부호화 기술을 제안한다. 인접 모드의 결합을 통한 새로운 부호화 모드와 단순화된 gradient 모드가 추가되면서 세밀한 방향의 특징 및 gradation 영역을 효과적으로 부호화한다. 또한 주변블록을 통해서 적절한 모드를 선택적으로 제공하면서 상대적으로 적은 복잡도와 높은 부호화 성능을 보여준다. 제안한 방법은 1.72배의 복잡도 증가수준에서 1.96%의 비트율 절감 및 0.25 dB의 PSNR 향상을 보여주고 있다. H.264/AVC has shown high coding efficiency by using various coding tools, including intra and inter prediction. However, there are still many more redundancy components in intra prediction than in inter prediction. In this paper, a novel intra prediction method is proposed with adaptive mode selection. The combined intra prediction modes and simplified gradient modes are added in order to refine the directional feature and gradation region. Suitable modes are selected according to the neighboring blocks that provide a high compression rate and lower computational complexity. The improvement of the proposed method is 1.96% in terms of the bitrate, 0.25 dB in PSNR, and 1.72 times in terms of the computational complexity.