• 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.

• Proceedings of the Korean Information Science Society Conference
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• 1999.10c
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• pp.614-616
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• 1999

이질적인 환경(Heterogoneous Environments)에서 실시간 멀티미디어 서비스가 확산됨에 따라 비디오 데이터로 인한 트래픽이 통신망을 오가는 트래픽의 대부분을 차지하게 되었다. 이에 통신망 지원의 효율화를 위해서 사용자의 통신망 환경을 고려한, 비디오 데이터의 Layered coding과 스케러블 전송이 필요하다. 즉, 낮은 QoS 환경인 경우 일부분만을 전송하고, 높은 QoS 환경인 경우에 모두 전송하는 것이다. 이를 위해 본 논문에서는 MPEG 비디오 데이터 스케일러블 전송에 맞게 초당 디스플레이하는 프레임 수를 동적으로 조정하는 기법과 화질을 조정할 수 있는 SpatioTemporal Layered Coding 기법을 제안한다. 본 기법을 이용하면 사용자는 자신의 통신망 환경과 단말기 성능에 맞는 비디오 데이터를 수신 받아 재생할 수 있다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.1B
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• pp.8-17
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• 2004

In this paper: we propose the adaptive error concealment technique for scalable video coding over wireless network error prove environment. We prove it is very effective that Error concealment techniques proposed in this paper are applied to scalable video data. In this paper, we propose two methods of error concealment. First one is that the en·or is concealed using the motion vector of base layer and previous VOP data. Second one is that according to existence of motion vector in error position, the error is concealed using the same position data of base layer when the motion vector is existing otherwise using the same position data of previous VOP when the motion vector is 0(zero) adaptively. We show that according to various error pattern caused by condition of wireless network and characteristics of sequence, we refer decoder to base layer data or previous enhancement layer data to effective error concealment. Using scalable coding of MPEG-4 In this paper, this error concealment techniques are available to be used every codec based on DCT.

• Journal of Broadcast Engineering
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• v.13 no.4
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• pp.501-515
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• 2008

Recently, as users' requests for high quality mobile multimedia services are rapidly increasing and additional bandwidth can be provided by adopting the hierarchical modulation transmission technology, the research on the Advanced Terrestrial DMB (AT-DMB) service using the SVC (Scalable Video Coding) scheme is being actively studied. But, in order to realize a compatible video service and to accelerate the successful standardization and commercialization, it is necessary to simplify the compatible encoder structure. In this parer, we propose a fast mode decision method by constraining the redundant coding modes in the spatial scalable encoder that keeps the current T-DMB video in base layer. The proposed method is based on the statistical characteristics of each coding mode at both base and enhancement layers, inter-layer predictions, which are derived by investigating macroblock-layer coding modes of the spatial scalable encoder's functional structure. Through computer simulations, it is shown that a simplified encoder model that reduces the heavy computational burden can be found, while keeping the objective visual quality very high.

• Journal of Broadcast Engineering
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• v.12 no.5
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• pp.491-502
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• 2007

In this parer, we propose an efficient intra prediction mode decision scheme in Scalable Video Coding(SVC) which is an emerging video coding standard as an extension of H.264/MPEG-4 AVC(Advanced Video Coding). The proposed method in base on the characteristic of macroblock smoothness follows the statistical analysis of intra prediction mode in an enhancement layer and it decides a candidate intra prediction mode. We also propose an early termination scheme for Intra_BL mode decision where the RD cost value of Intra_BL is utilized. Simulation results show that the proposed method reduces 54.67% of the computation complexity of intra prediction coding, while the degradation in video quality is negligible; for low QP values, the average PSNR loss is very negligible, equivalently the bit rate increases by 0.011%. For high QP values, the average PSNR loss is less than 0.01dB, which equals to 0.249% increase in bitrate.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.3
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• pp.621-627
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• 2010

This paper proposes an efficient architecture of Inter layer up-sampling in decoder for SVC(scalable video coding). A register bank for horizontal and vertical up-sampling and interpolation units are designed, by introducing the proposed architecture, 41% memory bandwidth is reduced compared to JSVM. For real-time operation for HD 6 layer decoder having CIF, SD, HD resolution for CGS layer, the hardware is designed to operate at 127MHz. The gate count is about 3000.

• Information and Communications Magazine
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• v.30 no.9
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• pp.49-57
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• 2013

네트워크 기술과 멀티미디어 압축 기술이 발달함에 따라 사용자들은 고화질의 멀티미디어 콘텐츠를 무선 환경에서도 끊김 없이 제공 받기를 원하고 있다. 또한, 스마트폰과 스마트패드와 같은 다양한 멀티미디어 장치가 일상생활에서 보편적으로 사용되면서 디바이스 간에 끊김 없는 미디어의 연동을 가능케 하는 N-스크린 서비스가 점차 확산되고 있다. 이러한 시장의 흐름에 발맞춰 JCT-VC (Joint Collaborative Team on Video Coding)는 차세대 동영상 압축 표준 기술인 HEVC (High Efficiency Video Coding)를 바탕으로 공간적 (Spatial), 화질적 (Temporal) 스케일러빌리티 (Scalability)를 제공하는 확장 표준인 SHVC (Scalable HEVC)를 표준화 중에 있다. JCT-VC는 SHVC 부호화 기술들을 평가하기 위하여 SCE (Scalable Core Experiment)를 진행하고 있으며, SHVC 표준은 2014년 6월에 표준화가 완료 될 것으로 예상된다. 본 고에서는 비디오 스케일 러빌리티의 기본 개념 및 SHVC 표준화 과정에서 제안된 주요부호화 기술들과 이슈들을 소개한다.

• Journal of Multimedia Information System
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• v.2 no.1
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• pp.153-162
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• 2015

In today's pervasive computing environments, multimedia content should be adapted to meet various conditions of network connections, terminals, and user characteristics. Scalable Video Coding (SVC) is a key solution for video communication over heterogeneous networks, where user terminals have different capabilities. This paper presents a standard-compliant approach that adapts an SVC bitstream to support multiple users. The adaptation problem is formulated as an optimization problem, focusing on the tradeoff between qualities of different spatial layers of an SVC video. Then the adaptation process is represented by standard metadata of MPEG-21, which can be solved by universal processing to enable interoperable and automatic operation. Our approach provides the users with optimal quality, a wide flexibility, and seamless adaptation. To the best of our knowledge, this is the first study that shows the adaptation tradeoff between spatial layers of a conforming SVC bitstream.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.413-417
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• 2009

The use of scalable video coding scheme has been regarded as a promising solution for guaranteeing the quality of service of the video streaming over the Internet because it is a capable coding scheme to perform quality adaptation depending on network conditions. In this paper, we use a streaming model that transmits base layer using TCP and enhancement layers using DCCP, which try to provide transmission reliability of the BL and TCP friendliness. Unlike pervious works, the proposed algorithm performs rate adaptation based on playout buffer status. The PoB status of the client is sent back periodically to the server and serves as a network congestion indicator. Experimental results show that our scheme improves streaming quality comparing with pervious scheme in the case of not only constant/dynamic background flows but also VBR-encoded video sequence.

• Journal of Broadcast Engineering
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• v.22 no.3
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• pp.405-408
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• 2017

Based on the fact that high similarities exist between viewpoints of multi-view images, MV-HEVC achieves high encoding efficiency by performing conventional temporal direction prediction in a single viewpoint as well as inter-view prediction between viewpoints. In this paper, we propose to integrate SHVC and MVC (Multi-view Video Coding) to implement scalable multi-view video encoder using HEVC as a base layer. According to experimental results, it is verified that the BD-PSNR improvement reaches up to 1.5dB while reducing the BD-Bitrate by around 50~60%.