• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.5
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• pp.1187-1193
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• 2014

This paper presents an effective motion estimation to improve the performance of the motion compensated temporal filtering (MCTF) which is a core part of the wavelet-based scalable video coding. The proposed scheme makes the motion vector field uniform by the modified median operation and the search strategies using adjacent motion vectors, in order to enhance the pixel connectivity which is significantly relevant to the performance of the MCTF. Moreover, the motion estimation with variable block sizes that reflects the features of frames is introduced for further correlation improvement of the motion vector field. Experimental results illustrate that the proposed method reduces the decomposed energy on the temporal high frequency subband frame up to 30.33% in terms of variance compared to the case of the full search with fixed block sizes.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.44 no.1
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• pp.1-9
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• 2007

Digital Multimedia Broadcasting is the next generation broadcasting service which enables various digital multimedia contents, i.e., audio and video, and data access for mobile users. However, due to the bandwidth limitation, the spatial resolution is limited to CIF(Common Interleaved Frame). The Advanced Terrestrial DMB (AT-DMB) secures additional bandwidth by adopting hierarchical modulation transmission technology and provides high data rate and quality for mobile multimedia broadcasting services with scalable video coding(SVC). This paper proposes scalable video coding technology for AT-DMB which enables high quality mobile multimedia broadcasting services that exceeds current DMB service's quality and contents capability.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2010.11a
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• pp.114-116
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• 2010

고해상도의 고품질 비디오 서비스가 보편화됨에 따라 최근 초고해상도(UHD: Ultra HD) 비디오 부호화 연구가 진행되고 있으며, 향후 융합환경에서의 HD 및 UHD 비디오를 동시에 제공하기 위하여 초고해상도에 적합한 스케일러블 비디오 부호화도 진행될 것으로 예상된다. 본 논문에서는 UHD/HD 비디오를 제공하기 위한 H.264/SVC의 확장 부호화 기법으로, 현재 표준화가 진행 중인 HEVC(High Efficiency Video Coding)의 대표적인 부호화 툴인 Large Block 개념을 적용한 SVC 부호화 기법을 제시하고 그 성능을 분석한다. 실험결과 Large Block을 적용한 SVC가 기존의 SVC에 비하여 17% 정도의 부호화 이득이 있음을 확인하였다.

• Journal of Broadcast Engineering
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• v.10 no.4 s.29
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• pp.515-527
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• 2005

A next-generation codec should be developed to be a scalable video codec(SVC) that not only maximizes the coding efficiency but also adaptively copes with the various communication devices and the variation of network environments. To meet these requirements, Joint Video Team (JVT) of ISO/IEC and ITU-T is standardizing H.264/AVC based SVC. In this paper, we introduce research directions and status on SVC standardization and also analyze techniques and algorithms adopted in the current SVC.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2005.11a
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• pp.159-162
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• 2005

본 논문에서는 기존의 비디오와 오디오 중심의 멀티미디어 스트리밍 방법과는 달리 정지 영상의 스케줄 정보도 고려하여 전체 스트리밍의 QoS (Quality of Service)를 높이는 스트리밍 방법을 제안한다. MP4 콘텐츠의 분량이 커지고 내용이 복잡해질수록 비디오와 오디오 이 외의 데이터들을 더 이상 무시할 수 없게 된다. MP4의 장면 구성 정보를 알면 임의의 시점에서 재생되는 화면과 소리를 알 수가 있고, 이 정보, 즉 스케줄 정보를, 고려하여 정지영상 객체를 전송한다면 보다 효율적인 스트리밍이 가능하다 또한, 비디오와 오디오에 스케일러블 부호화를 적용하면 QoS를 높일 수 있듯이, 정지영상의 경우 Progressive JPEG을 이용하면 스케일러블한 전송이 가능하다. 이에 제안된 스트리밍 서버에서는 정지 영상 스케줄 정보와 정지 영상 객체를 Progressive JPEG으로 변환하여 스트리밍 서비스를 제공하고 있다.

• Journal of Broadcast Engineering
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• v.19 no.2
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• pp.174-183
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• 2014

This paper is to propose a scalable video coding scheme for adaptive digital hologram video service for various reconstruction environments. It uses both the light source information and digital hologram at both the sending side and the receiving side. It is a resolution-scalable coding method that scales the resolution, that is, the size of the reconstructed image. The method compresses the residual data for both the digital hologram and the light source information. For the digital hologram, a lossy compression method is used, while for the light source information, a lossless compression method is used. The experimental results showed that the proposed method is superior to the existing method in the image quality at the same compression ratio. Especially it showed better performance than the existing method as the compression ratio becomes higher.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2014.11a
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• pp.97-100
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• 2014

다양한 동영상 콘텐츠를 이용하는 사용자들의 단말기 성능이나 네트워크 상황, 또는 단말기의 해상도 등에 실시간으로 대응할 수 있는 영상 압축 방법으로 스케일러블 영상 코딩 (Scalable Video Coding, SVC)[1]을 사용하고 있다. 최근 JCT-VC(Joint Joint Collaborative Team on Video Coding)에서는 초고해상도를 타겟으로 하는 동영상 압축기술인 HEVC(Efficiency Video Coding)를 기반으로한 Scaleable HEVC(SHVC)[3]를 표준화 중에 있다. SHVC는 공간적(Spatial), 시간적(Temporal), 화질적(SNR) 스케일러빌러티를 제공을 하며, HEVC v.1에 비해 높은 복잡도를 가진다. 본 논문에서는 SHVC의 공간적 스케일러빌러티의 부호화 속도 개선을 위한 알고리즘 개발에 앞서 제한적 실험을 통한 통계적 분석을 하였다.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.10
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• pp.118-128
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• 2015

Compressive sensing (CS) has to face with two challenges of computational complexity reconstruction and low coding efficiency. As a solution, this paper presents a novel spatially scalable Kronecker two layer compressive sensing framework which facilitates reconstruction up to three spatial resolutions as well as much improved CS coding performance. We propose a dual-resolution sensing matrix based on the quincunx sampling grid which is applied to the base layer. This sensing matrix can provide a fast-preview of low resolution image at encoder side which is utilized for predictive coding. The enhancement layer is encoded as the residual measurement between the acquired measurement and predicted measurement data. The low resolution reconstruction is obtained from the base layer only while the high resolution image is jointly reconstructed using both two layers. Experimental results validate that the proposed scheme outperforms both conventional single layer and previous multi-resolution schemes especially at high bitrate like 2.0 bpp by 5.75dB and 5.05dB PSNR gain on average, respectively.

• Journal of Broadcast Engineering
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• v.15 no.5
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• pp.653-664
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• 2010

Generally existing video codec employs entropy coding to deal with residual signals with considering temporal and spatial properties. Scalable Video Coding(SVC) which is extension of H.264/AVC has three technical concepts for removing redundancies between inter-layers. In spite of using novel prediction method between inter-layers in SVC, it is still using same entropy coding method to residual signals. According to the studies, the residual obtained by inter-layer prediction technique has different features of residual signal acquired by spatial or temporal prediction technique. In this paper, we propose an efficient entropy coding method which codes the residual signal obtained by inter-layer prediction with regarding its features adequately. We re-designed the Coded Block Pattern(CBP) table suitably for inter-layer texture prediction. The experiments show that the proposed method can further reduce the BD-Bitrate up to average 2.20% in 4CIF and 1.14% in CIF resolution compared to the existing JSVM 9.18.

• 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.