• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.5C
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• pp.534-539
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• 2006

In this paper, we propose a new frame prediction filtering technique and a hardware(H/W) architecture for scalable video coding. We try to evaluate MCTF(motion compensated temporal filtering) and hierarchical B-picture which are a technique for eliminate correlation between video frames. Since the techniques correspond to non-causal system in time, these have fundamental defects which are long latency time and large size of frame buffer. We propose a new architecture to be efficiently implemented by reconfiguring non-causal system to causal system. We use the property of a repetitive arithmetic and propose a new frame prediction filtering cell(FPFC). By expanding FPFC we reconfigure the whole arithmetic architecture. After the operational sequence of arithmetic is analyzed in detail and the causality is imposed to implement in hardware, the unit cell is optimized. A new FPFC kernel was organized as simple as possible by repeatedly arranging the unit cells and a FPFC processor is realized for scalable video coding.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.11a
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• pp.151-154
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• 2005

본 논문에서는 스케일러블 멀티미디어 콘텐츠에 대한 조건적 접근제어가 가능한 암호화 방법을 제안한다. 현재 표준화가 진행중인 스케일러블 비디오 코딩방법인 JSVM(Joint Scalable Video Model)은 부호화한 동영상에 대해 공간, 시간, 품질의 스케일러빌리티(Scalability)를 지원하는데, 각 스케일러 빌리티를 고려한 조건적인 접근제어기술은 스케일러빌리티에 따라 사용자를 제한해야 하는 경우를 위해 필수적인 기술이다. 제안하는 방법은 공간, 시간, 품질의 세가지 스케일러빌리티를 지원하도록 부호화(Encoding)후 구성되는 NAL(Network Abstract Layer)을 지원하는 스케일러빌리티에 따라 구분하고, 구분된 NAL 의 종류에 따라 암호화 key 를 다르게 제공하는 방법을 통해 사용자의 접근제어 수준에 맞게 암호화 key 를 조합하는 방법을 적용하였다. 실험 결과 제안한 방법은 JSVM 에서 공간, 시간, 품질의 스케일러빌리티가 보장되고, 이때 생성되는 Key 의 조합으로 조건적 접근제어(Conditional access control)가 가능함을 확인하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2010.06a
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• pp.196-197
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• 2010

• Journal of Broadcast Engineering
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• v.11 no.1 s.30
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• pp.54-65
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• 2006

In this paper, we propose a new functionality to Scalable Video Coding (SVC), which is the support of multiple ROIs for heterogeneous display resolution. Scalable video coding is targeted at giving temporal, spatial, and quality scalability for the encoded bit stream. Region of interest (ROI) is an area that is semantically important to a particular user, especially users with heterogeneous display resolutions. The bitstream containing the ROIs could to be extracted without any transcoding operations, which may be one of way to satisfy QoS. To define multiple ROI in SVC, we adapted FMO, a tool defined in H.264, and based on it, we propose a way to encode and decode ROIs. The proposed method is implemented on the JSVM1.0 and the functionality is verified using it.

• Journal of Korea Multimedia Society
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• v.14 no.5
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• pp.650-657
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• 2011

This paper proposes a novel bit allocation algorithm for H.264 scalable extension(SE) based on a human visual system (HVS) to improve the coding efficiency. The proposed algorithm is consist of two stages: visual weighting model and visual weighting-based bit allocation algorithm. In the first stage, the visual weighting for each macroblock (MB) is analyzed according to the region of interests. Then the adaptation of the visual weighting into the bit allocation routine for each quality layer is performed for improving the visual quality. In the simulation results, it is observed that the proposed scheme can improve the subjective and objective video quality in the same bit rate, compared to the previous scalable video coding in H.264.

• Journal of Korea Game Society
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• v.12 no.3
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• pp.59-68
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• 2012

This paper describes the design and implementation of a network-adaptive N-screen game system to be used in cloud computing. The system we are considering needs to generate game video in a cloud server and transmit the video to multiple game devices over an in-home wireless network via a home game server. It is difficult to support multiple screens which have different resolutions with a single bitstream of game video. Therefore, we developed a new network-adaptive game-video extraction and transmission method using (1) scalable video coding and (2) Raptor code techniques. The simulation, conducted with real game-video, verified the efficiency of the proposed video streaming system.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.10
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• pp.975-979
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• 2010

Existing quality adaptation schemes are useful for improving network stability in a congested network, but these schemes do not guarantee the quality of experience on video streaming due to the frequent variations in playback quality for a streaming service. In this paper, we propose a network-adaptive quality adaptation scheme to guarantee the quality of experience on SVC(Scalable Video Coding) video streaming. The proposed scheme estimates the available bandwidth by bandwidth measurement scheme using media characteristic, and then smoothly adjusts the quality level of SVC video stream according to the estimated bandwidth. Through the simulation, we prove that our scheme guarantees the quality of experience for video streaming by minimizing quality variation.

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.8
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• pp.793-797
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• 2008

To achieve flexible visual contents adaptation for multimedia communications, the ISO/IEC MPEG & ITU-T VCEG form the JVT to develop an SVC amendment for the H.264/AVC standard. JVT uses inter-layer prediction that can improve the rate-distortion efficiency of the enhancement layer. But inter-layer prediction causes computational complexity to be increased. In this paper, we propose a fast mode decision for inter frame coding. It makes use of the correlation between optimized prediction mode and its RD cost. Experimental results show that the proposed schemes save up to 38% of encoding time with a negligible coding loss and bit-rate increase.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.11a
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• pp.175-178
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• 2008

MPEG-4 Part 2 에서 표준으로 채택된 FGS (fine granularity scalability) 코딩 기법은 전송 선로의 상태가 급변하는 경우에도 주어진 대역폭에서 최적의 화질 향상을 얻을 수 있도록 설계된 망 상태에 적응적인 스케일러블 비디오 코딩 기법이다 [1][2][9]. 본 논문에서는 기존의 FGS 향상 계층에서 영상의 잔여 신호를 다시 한 번 bit-plane 코딩을 해줌으로써 화질 확장성을 더 높인 Advanced FGS 코딩 구조를 제안하였다. 본 논문의 실험에서는 기존의 MPEG-4 VM (verification model)에서 사용된 FGS 코딩과의 비교를 통해 Advanced FGS 구조의 화질 확장성을 평가하였다. 비교는 두 부호화 기술의 PSNR 값의 분석으로 이루어졌고, 결과를 통해 Advanced FGS 구조가 고화질을 가지며, 화질 확장성이 더 높은 구조임을 알 수 있었다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2010.11a
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• pp.270-273
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• 2010

스케일러블 비디오 부호화(SVC: Scalable Video Coding)는 하나의 비트스트림 결과물로부터 둘 이상의 다중 비트율 및 해상도, 프레임율을 추출할 수 있도록 MPEG의 스케일러블 비디오 코딩 국제 표준을 준수하여 부호화한 비디오 비트스트림을 의미한다. 우리는 SVC(Scalable Video Coding)기반기술을 이용하여 하나의 콘텐츠를 통해 소비환경에 적응적인 비디오 스트리밍 서비스를 IP망을 기반으로 적용하기 위한 응용기술을 개발하고 있다. 본 논문에서는 단말로 부터 전송채널에 대한 상태를 전송받아 이에 맞게 콘텐츠를 적응변환 하고 다양한 품질의 단말에서의 스트리밍을 제공하는 SVC 미디어 서버를 관리하는 SVC 서버 관리 제어기의 설계 및 그 구현에 관한 내용이다. 이와 같이 SVC 서버 관리 제어기의 개발을 통해서 SVC의 다양한 콘텐츠 적응레벨을 설정하고 관리할 수 있다.