• Title/Summary/Keyword: Mode Decision

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Fast Coding Mode Decision for Temporal Scalability in H.264/AVC Scalable Extension (시간적 계층에서의 스케일러블 부호화 고속 모드 결정 방법)

  • Jeon, Byeungwoo
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.6 no.2
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    • pp.71-75
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    • 2013
  • Recently proliferating heterogeneous multimedia service environments should be able to deal with many different transmission speeds, image sizes, or qualities of video. However, not many existing video compression standards satisfy those necessities. To satisfy the functional requirements, the standardization of the H.264/AVC Scalable Extension (SE) technique has been recently completed. It is an extension of the H.264/AVC which can encode several image sizes and qualities at the same time as a single bitstream. To perform optimum mode decision, motion estimation is performed for all MB modes, and the RD costs are compared to identify an MB mode with the smallest RD cost. This increases computational complexity of H.264/AVC SE encoding. In this paper, we propose an early skip mode detection scheme to reduce candidate modes and suggest an algorithm of fast mode decision utilizing reference modes according to the mode history.

Lead time analysis for transportation mode decision making (수송수단의 선택을 위한 리드타임 분석)

  • 문상원
    • Korean Management Science Review
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    • v.13 no.1
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    • pp.47-55
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    • 1996
  • Rapid globalization of production and marketing functions makes choice of international transportation mode of great importance. In this paper, transportation mode is characterized by two factors, mean and variability of transportation lead time. We developed a simple mathematical model to estimate the relative impact of mean lead time, lead time variance and demand variance on the required average inventory level under specified service rates.

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Blind Equalization of Digital Television Broadcasting Signals in Dynamic Multipath Channels (다이내믹 다중경로 채널에서의 디지털 텔레비전 방송 신호에 대한 블라인드 등화)

  • 오길남
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.41 no.5
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    • pp.269-274
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    • 2004
  • In this paper, proposed is the dual-mode algorithm of blind decision feedback equalizer (DFE) for digital terrestrial television signals. According to channel impairments, the proposed dual-mode algorithm for blind DFE operates in decision-directed mode or in blind mode of operation. The error signals being used in tap update of the equalizer are generated in the best mode of operations, so that the confidence of equalizer tap coefficient update is more accurate. As a result, it is possible to track the channel characteristics variations by automatic switching over between two modes of operations. For 8-level vestigial sideband modulated digital television signals, the mean square errors and symbol error rates of the proposed algorithm are compared with those of conventional methods. And the usability of the proposed scheme is assessed by computer simulations under various static and dynamic multipath channel environments.

A Fast Mode Decision of Non-anchor Pictures in Multi-view Video Coding for 3D Applications (3D 응용을 위한 다시점 영상 부호화에서 비기준 화면의 빠른 모드결정 기법)

  • Jung, Choong-Hyun;Shin, Kwang-Mu;Park, Seong-Ho;Chung, Ki-Dong
    • Journal of Korea Multimedia Society
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    • v.15 no.7
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    • pp.859-869
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    • 2012
  • The Multi-view Video Coding (MVC) which is exploiting disparities between views has been developed to improve the coding efficiency of multi-view video. But MVC has a problem of having high computing complexities because of disparity estimation. This paper propose a fast mode decision for non-anchor picture to reduce the computational time of MVC. The proposed method uses two phases. Anchor pictures in hierarchical B picture structure have a higher correlation with prediction mode selection of non-anchor pictures, so in the first phase, prediction mode of non-anchor pictures is selected by exploiting the macro-block regions in anchor picture. In the second phase, we select a reference direction of inter prediction mode exploiting a higher correlation among reference directions of inter prediction modes of 7 block sizes. Experimental results show that the proposed method could save average about 44% in the encoding time with negligible coding efficiency losses.

Design of a Logistics Decision Support System for Transportation Mode Selection considering Carbon Emission Cost (탄소배출비용을 고려한 물류의 최적 운송수단 의사결정 시스템 설계)

  • Song, Byung-Jun;Koo, Je-Kwon;Song, Sang-Hwa;Lee, Jong-Yun
    • The KIPS Transactions:PartD
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    • v.18D no.5
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    • pp.371-384
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    • 2011
  • This paper considers logistics decision support system which deals with transportation mode selection considering transportation and carbon emission cost. Transportation and carbon emission costs vary with the choice of transportation modes and to become competitive companies need to find proper transportation modes for their logistics services. However, due to the restricted capacity of transportation modes, it is difficult to balance transportation and carbon emission costs when designing logistics network including transportation mode choice for each service. Therefore this paper aims to analyze the trade-off relationship between transportation and carbon emission cost in mode selection of intermodal transportation and to provide optimal green logistics strategy. In this paper, the logistics decision support system is designed based on mixed integer programming model. To understand the trade-off relationship of transportation and carbon emission cost, the system is tested with various scenarios including transportation of containers between Seoul and Busan. The analysis results show that, even though sea transportation combined with trucking is competitive in carbon emission per unit distance travelled, the total cost of carbon emission and transportation for the sea transportation may not have competitive advantage over other transportation modes including rail and truck transportation modes. The sea-based intermodal logistics service may induce detours which have negative impacts on the overall carbon emission. The proposed logistics decision support system is expected to play key role in green logistics and supply chain management.

Fast Mode Decision Algorithm for Scalable Video Coding (SVC) Using Directional Information of Neighboring Layer (스케일러블 비디오 코딩에서 방향성 정보를 이용한 모드 결정 고속화 기법)

  • Jung, Hyun-Ki;Hong, Kwang-Soo;Kim, Byung-Gyu;Kim, Chang-Ki;Yoo, Jeong-Ju
    • Journal of Broadcast Engineering
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    • v.17 no.1
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    • pp.108-121
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    • 2012
  • As Scalable Video Coding (SVC) is a video compression standard extended from H.264/AVC, it is a way to provide scalability in terms of temporal, spatial and quality. Although the compression efficiency of SVC is increased due to the scalability in many aspect, it is essential to reduce the complexity in order to efficiently use because the complexity is relatively increased. To reduce the complexity of SVC in the paper, we propose fast mode decision algorithm to reduce the complexity of encoding process using direction information of B-picture by efficiently performing inter-layer prediction. The proposed algorithm is a fast mode decision algorithm that makes different from detection mode number of forward and backward, bi-direction in the way using best mode of base-layer up-sampled after simply SKIP mode detection using the direction information of best mode of base-layer up-sampled. The experimental results show that the proposed algorithm approach can achieve the maximum computational time saving about 53% with almost no loss of rate distortion (RD) performance in the enhancement layer.

A Frame-based Coding Mode Decision for Temporally Active Video Sequence in Distributed Video Coding (분산비디오부호화에서 동적비디오에 적합한 프레임별 모드 결정)

  • Hoangvan, Xiem;Park, Jong-Bin;Shim, Hiuk-Jae;Jeon, Byeung-Woo
    • Journal of Broadcast Engineering
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    • v.16 no.3
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    • pp.510-519
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    • 2011
  • Intra mode decision is a useful coding tool in Distributed Video Coding (DVC) for improving DVC coding efficiency for video sequences having fast motion. A major limitation associated with the existing intra mode decision methods, however, is that its efficiency highly depends on user-specified thresholds or modeling parameters. This paper proposes an entropy-based method to address this problem. The probabilities of intra and Wyner?Ziv (WZ) modes are determined firstly by examining correlation of pixels in spatial and temporal directions. Based on these probabilities, entropy of the intra and the WZ modes are computed. A comparison based on the entropy values decides a coding mode between intra coding and WZ coding without relying on any user-specified thresholds or modeling parameters. Experimental results show its superior rate-distortion performance of improvements of PSNR up to 2 dB against a conventional Wyner?Ziv coding without intra mode decision. Furthermore, since the proposed method does not require any thresholds or modeling parameters from users, it is very attractive for real life applications.

Complex-Channel Blind Equalization using Euclidean-Distance Algorithms with Decision-Directed Modes (Decision-Directed 모드와 유클리드 거리 알고리듬을 사용한 복소채널의 블라인드 등화)

  • Kim, Namyong
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.3 no.3
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    • pp.73-80
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    • 2010
  • Complex-valued blind algorithms which are based on constant modulus error and Euclidian distance (ED) between two probability density functions show relatively poor performance in spite of the advantages of information theoretic learning since the inherent characteristics of the constant modulus error prevent the algorithm from coping with the symbol phase rotation caused by the complex channels. In this paper, we show that the symbol phase rotation problem can be avoided and the advantages of information theoretic learning can be preserved by introducing decision-directed mode to the blind algorithm whenever the equalizer output power lies in the neighborhood of multi-modulus levels. Simulation results through MSE convergence and constellation comparison for severely distorted complex channels show significantly enhanced performance of symbol-point concentration and no phase rotation problems caused by the complex channel models.

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Efficient Intra Modes for Fast Intra Mode Decision of H.264/AVC (H.264/AVC의 고속 인트라 모드 결정을 위한 효과적인 인트라 모드)

  • Lee Woong-ho;Lee Jung-ho;Cho Ik-Hwan;Jeong Dong-Seok
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.12C
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    • pp.1144-1152
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    • 2005
  • Intra prediction coding is one of the many coding-efficiency oriented tools of H.264/AVC, but it requires high computational complexity. Many fast intra coding algorithms have been proposed to reduce the computational complexity of intra prediction. While most of them have been focused on the mode decision methods themselves, we propose a fast algorithm in which new intra modes are substituted for the conventional intra modes so that the number of intra modes can be reduced. The simulation results show that the proposed method could reduce the encoding time of the overall sequence by $49\%$ without any noticeable degradation of the coding efficiency.

A Distortion Estimation Method Using Integer Operations in H.264/AVC Encoder (H.264/AVC 부호화기에서 정수 연산을 사용한 왜곡치 예측 방식)

  • Moon, Jeong-Mee;Kim, Jae-Ho
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.1C
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    • pp.63-71
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    • 2009
  • In this paper, a new low-complexity distortion estimation method for H.264 rate-distortion optimized mode decision is proposed. The coding processes, such as DCT, quantization, inverse quantization, inverse DCT, and reconstruction are needed to compute the distortion in an H.264 encoder. To reduce these processes, we estimate distortion using integer operations with coefficients obtained in the quantization process. Inverse quantization, inverse DCT, and reconstruction processes are not needed by the proposed method. For quantization parameters 24 to 36, experimental results show that the time saving of rate-distortion optimized mode decision is on average 29 % and as high as 42 % with negligible degradation in coding performance.