• Title/Summary/Keyword: 고속 CU크기 결정

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Moment-based Fast CU Size Decision Algorithm for HEVC Intra Coding (HEVC 인트라 코딩을 위한 모멘트 기반 고속 CU크기 결정 방법)

  • Kim, Yu-Seon;Lee, Si-Woong
    • The Journal of the Korea Contents Association
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    • v.16 no.10
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    • pp.514-521
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    • 2016
  • The High Efficiency Video Coding (HEVC) standard provides superior coding efficiency by utilizing highly flexible block structure and more diverse coding modes. However, rate-distortion optimization (RDO) process for the decision of optimal block size and prediction mode requires excessive computational complexity. To alleviate the computation load, this paper proposes a new moment-based fast CU size decision algorithm for intra coding in HEVC. In the proposed method, moment values are computed in each CU block to estimate the texture complexity of the block from which the decision on an additional CU splitting procedure is performed. Unlike conventional methods which are mostly variance-based approaches, the proposed method incorporates the third-order moments of the CU block in the design of the fast CU size decision algorithm, which enables an elaborate classification of CU types and thus improves the RD-performance of the fast algorithm. Experimental results show that the proposed method saves 32% encoding time with 1.1% increase of BD-rate compared to HM-10.0, and 4.2% decrease of BD-rate compared to the conventional variance-based fast algorithm.

Fast CU Decision Method for HEVC Encoder (HEVC 부호기에서의 고속 CU 결정 방법)

  • Kim, Dae-Yeon;Lee, Yung-Gi;Kim, Hyeong-Duck
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2011.07a
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    • pp.173-176
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    • 2011
  • 현재 표준화가 진행 중인 HEVC (High-efficiency video coding) 는 기존의 동영상 표준과 마찬가지로 여러 기술들이 혼합된 하이브리드 영상 부호화 프레임 워크 구조를 따르고 있다. 특히, 다양한 크기의 부호화 단위 (Coding Unit : CU), 예측단위 (Prediction Unit : PU), 변환 단위 (Transform Unit : TU) 의 사용으로 인해 HD 이상의 영상에 대하여 기존의 H.264/AVC 보다 약 40%의 압축률 향상을 보이고 있다. 하지만 그로 인하여 부호화기 복잡도가 약 3 배 이상 증가하는 것으로 나타났으며 이는 실시간 부호화가 요구되는 분야에서 큰 문제가 될 것이다. 본 논문은 HEVC 부호화기 복잡도를 낮추기 위하여 최적의 CU 를 결정하는 과정 중 조기에 CU 를 결정하는 고속 CU 결정 방법을 소개한다. 실험 결과, 제안된 방법은 HM과 비교하여 PSNR (Peak Signal to Noise Ratio) 의 손실이 거의 없이 최대 약 58%의 부호화 시간을 절약하였다.

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Early Termination Algorithm of Prediction Unit (PU) Search for Fast HEVC Encoding (HEVC 고속 부호화를 위한 PU 탐색 조기 종료 기법)

  • Kim, Jae-Wook;Kim, Dong-Hyun;Kim, Jae-Gon
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2013.11a
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    • pp.172-173
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    • 2013
  • 최근 표준화가 완료된 HEVO(High Efficiency Video Coding)에서는 계층적 구조를 갖는 가변블록의 크기를 사용하고 재귀적으로 부호화를 수행사여, 최적의 부호화단위(CU: Coding Unit) 분할 구조와 예측단위(PU: Prediction Unit)를 결정함으로써 높은 부호화 효율을 얻을 수 있는 반면 부호화 복잡도가 증가하는 문제가 있다. 본 논문에서는 부호화기의 복잡도를 감소시키기 위한 고속 부호화 알고리즘으로 고속 모드 결정 기법을 제안한다. 제안기법은 상위 깊이(CU: Coding Unit)의 최적 모드와 부호화 율-왜곡 비용을 이용해서 현재 깊이 CU에서의 특정 모드의 율-왜곡 비용 계산을 생략함으로써 PU 탐색을 조기 종료한다. 즉, 상위 깊이 CU의 조건에 따라 화면간 예측 모드의 일부 또는 화면내 예측을 수행하지 않는다. 실험결과 제안기법은 HM 12.0대비 0.2%의 비트 증가에 22.9%의 계산시간 감소 효과를 얻을 수 있음을 확인하였다.

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Fast CU Decision Algorithm using the Initial CU Size Estimation and PU modes' RD Cost (초기 CU 크기 예측과 PU 모드 예측 비용을 이용한 고속 CU 결정 알고리즘)

  • Yoo, Hyang-Mi;Shin, Soo-Yeon;Suh, Jae-Won
    • Journal of Broadcast Engineering
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    • v.19 no.3
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    • pp.405-414
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    • 2014
  • High Efficiency Video Coding(HEVC) obtains high compression ratio by applying recursive quad-tree structured coding unit(CU). However, this recursive quad-tree structure brings very high computational complexity to HEVC encoder. In this paper, we present fast CU decision algorithm in recursive quad-tree structure. The proposed algorithm estimates initial CU size before CTU encoding and checks the proposed condition using Coded Block Flag(CBF) and Rate-distortion cost to achieve the fast encoding time saving. And, intra mode estimation is also possible to be skipped using the CBF values acquired during the inter PU mode estimations. Experiment results shows that the proposed algorithm saved about 49.91% and 37.97% of encoding time according to the weighting condition.

An Early Termination Algorithm of Prediction Unit (PU) Search for Fast HEVC Encoding (HEVC 고속 부호화를 위한 PU 탐색 조기 종료 기법)

  • Kim, Jae-Wook;Kim, Dong-Hyun;Kim, Jae-Gon
    • Journal of Broadcast Engineering
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    • v.19 no.5
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    • pp.627-630
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    • 2014
  • The latest video coding standard, high efficiency video coding (HEVC) achieves high coding efficiency by employing a quadtree-based coding unit (CU) block partitioning structure which allows recursive splitting into four equally sized blocks. At each depth level, each CU is partitioned into variable sized blocks of prediction units (PUs). However, the determination of the best CU partition for each coding tree unit (CTU) and the best PU mode for each CU causes a dramatic increase in computational complexity. To reduce such computational complexity, we propose a fast PU decision algorithm that early terminates PU search. The proposed method skips the computation of R-D cost for certain PU modes in the current CU based on the best mode and the rate-distortion (RD) cost of the upper depth CU. Experimental results show that the proposed method reduces the computational complexity of HM12.0 to 18.1% with only 0.2% increases in BD-rate.

CU Depth Decision Based on FAST Corner Detection for HEVC Intra Prediction (HEVC 화면 내 예측을 위한 FAST 에지 검출 기반의 CU 분할 방법)

  • Jeon, Seungsu;kim, Namuk;Jeon, Byeungwoo
    • Journal of Broadcast Engineering
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    • v.21 no.4
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    • pp.484-492
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    • 2016
  • The High efficiency video coding (HEVC) is the newest video coding standard that achieves coding efficiency higher than previous video coding standards such as H.264/AVC. In intra prediction, the prediction units (PUs) are derived from a large coding unit (LCU) which is partitioned into smaller coding units (CUs) sizing from 8x8 to 64x64 in a quad-tree structure. As they are divided until having the minimum depth, Optimum CU splitting is selected in RDO (Rate Distortion Optimization) process. In this process, HEVC demands high computational complexity. In this paper, to reduce the complexity of HEVC, we propose a fast CU mode decision (FCDD) for intra prediction by using FAST (Features from Accelerated Segment Test) corner detection. The proposed method reduces computational complexity with 53.73% of the computational time for the intra prediction while coding performance degradation with 0.7% BDBR is small compared to conventional HEVC.