• Title/Summary/Keyword: Scalable video coding (SVC)

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Conditional Access Control for Encrypted SVC Bitstream (암호화된 SVC 비트스트림에서 조건적 접근제어 방법)

  • Won Yong-Geun;Bae Tae-Meon;Ro Yong-Man
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.16 no.3
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    • pp.87-99
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    • 2006
  • In this paper, we propose a method of conditional access control for encrypted SVC(scalable video coding) bitstream. The main purpose of the proposition is to provide a SVC suitable encryption algorithm and a efficient method for conditional access control using encrypted SVC bitstream. We analyzed requirements for conditional access control of a SVC bitstream. And based on the analysis, we proposed encryption algorithm suitable for SVC bitstream and a method of conditional access control of the encryped bitstream. The proposed conditional access control for encrypted SVC bitstream is performed by bitsream extraction and selective decryption. We verified the usefulness of the proposed method through experiments.

A Suitable User Group Management method for SVC(Scalable Video Coding) in IPTV (IPTV SVC환경에 알맞은 사용자 그룹 관리 방법)

  • Lee, Jung-Hee;Oh, Heekuck
    • Proceedings of the Korea Information Processing Society Conference
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    • 2010.04a
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    • pp.828-830
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    • 2010
  • IPTV 환경에서는 콘텐츠를 수신하는 디바이스가 여러 종류가 있더라도 한번의 인코딩으로 콘텐츠 제공을 할 수 있는 Video Coding 기술인 SVC(Scalable Video Coding) 기술이 제공된다. SVC의 특징으로는 콘텐츠를 여러 계층으로 나뉘어 하나의 Base 계층과 여러 개의 Enhancement 계층을 가지게 되는데 상위계층은 하위 계층에 대해 더 추가적인 정보를 담고 있기 때문에 더 많은 계층이 전송될수록 데이터의 품질이 좋아지게 된다. 이러한 IPTV SVC환경의 그룹관리에 대해서 SVC의 특징인 계층간 순차적 관계를 적용한 안전한 사용자 그룹의 구성과 빈번한 가입과 탈퇴에 대해서 효율적인 그룹키 갱신에 대한 방법이 필요하다. 따라서 본 논문에서는 SVC의 특징인 계층간 순차적 관계를 지키는 사용자 그룹을 구성하고, 빈번한 가입/ 탈퇴에 대해서 효율적으로 처리하기 위한 일괄적인 그룹 키 갱신방법을 제안한다.

Video Player for Online SVC Stream in Android Platform (안드로이드 플랫폼에서 온라인 SVC 스트림을 재생하는 비디오 재생기의 설계 및 구현)

  • Hwang, Ki-Tae
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.12 no.1
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    • pp.157-164
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    • 2012
  • This paper introduces an implementation of SVC player which runs on Android platform and can play SVC video stream on line from SVC video server. SVC(Scalable Video Coding) is a scalable video encoding technique which supports three scalability such as temporal scalability, spatial scalability, and quality scalability. To implement the SVC player on Android, we implemented a SVC decoder using JSVM open source written in C/C++ as a native part on Android and developed Android UI in Java. Also we built an SVC encoding system off line and an SVC streaming server to conduct on-line SVC streaming experiments. Finally, after we installed the SVC player developed in this paper on Motoroi mobile phone, we evaluated and analyzed on-line streaming performance of the SVC player. The result showed that the player worked well and it had no jitter in streaming with the size of QCIF and 10fps from a fully encoded SVC video source.

User Interactive ROI based Scalable Video Consumption System (사용자의 인터랙션 정보를 반영한 ROI 기반 스케일러블 비디오 소비)

  • Choi, Jeong-Hwa;Bae, Tae-Meon;Ro, Yong-Man
    • Journal of the HCI Society of Korea
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    • v.2 no.1
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    • pp.1-12
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    • 2007
  • In this paper, we propose a video service system that reflects user interaction in the multimedia contents to increase user satisfaction in the restricted content consumption environment. The proposed system is based on the multiple ROI(Region of Interest) coding in H.264/AVC Scalable Video Coding (SVC). The proposed system provides scalable video quality by adopting SVC. And by bidirectional communication between user and video server, it enables user to select meaningful ROI among multiple ROIs by user interaction. To verify the usefulness of the proposed system, we demonstrate it with a test-bed on which user interactive ROIs are implemented.

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Joint Source/Channel Coding Based on Two-Dimensional Optimization for Scalable H.264/AVC Video

  • Li, Xiao-Feng;Zhou, Ning;Liu, Hong-Sheng
    • ETRI Journal
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    • v.33 no.2
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    • pp.155-162
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    • 2011
  • The scalable extension of the H.264/AVC video coding standard (SVC) demonstrates superb adaptability in video communications. Joint source and channel coding (JSCC) has been shown to be very effective for such scalable video consisting of parts of different significance. In this paper, a new JSCC scheme for SVC transmission over packet loss channels is proposed which performs two-dimensional optimization on the quality layers of each frame in a rate-distortion (R-D) sense as well as on the temporal hierarchical structure of frames under dependency constraints. To compute the end-to-end R-D points of a frame, a novel reduced trellis algorithm is developed with a significant reduction of complexity from the existing Viterbi-based algorithm. The R-D points of frames are sorted under the hierarchical dependency constraints and optimal JSCC solution is obtained in terms of the best R-D performance. Experimental results show that our scheme outperforms the existing scheme of [13] with average quality gains of 0.26 dB and 0.22 dB for progressive and non-progressive modes respectively.

Efficient Motion Prediction Architecture and Design of DPB for Scalable Multi-view Video Coding (스케일러블 다시점 비디오 부호화를 위한 효율적인 움직임 예측구조와 DPB 설계)

  • Kim, Ji-Hoon;Jung, Tae-Jun;Lee, Hong-Rae;Seo, Kwang-Deok;Kim, Jin-Soo;Lee, Hahyun;Kang, Jung Won
    • Journal of Broadcast Engineering
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    • v.17 no.6
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    • pp.976-989
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    • 2012
  • In this paper, we propose an efficient motion prediction architecture and DPB design mechanism for scalable multi-view video coding which is implemented by integrating SVC and MVC coding algorithms. In the proposed motion prediction architecture, we employ pictures associated with other views as a candidate for reference picture for improved motion prediction performance. By the proposed prediction architecture, we could enormously reduce the size of compressed video data. When performing scalable multi-view video coding, an integrated DPB design mechanism is also proposed. It is shown by various simulations that the proposed motion prediction architecture for scalable multi-view video coding can result in reduced data size in the compressed bitstream.

Quality Metric with Full Scalability on Scalable Video Coding (확장 가능한 영상 부호화에서 전 확장성을 고려한 품질 메트릭)

  • Suh, Dong-Jun;Kim, Cheon-Seog;Bae, Tae-Meon;Ro, Yong-Man
    • Journal of Broadcast Engineering
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    • v.12 no.2
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    • pp.102-111
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    • 2007
  • Currently, the efficient adaptive video streaming services and coding techniques are required to ensure quality of service (QoS) in diverse multimedia environments. To maintain optimal video quality in these environments, it is required to support scalable video coding (SVC) technique and proper QoS metric methods. In this paper, we propose a new quality metric that takes in to the temporal, the SNR, the spatial scalability on SVC. Experimental results shows that proposed method has a higher correlation with the subjective quality. We expect that the proposed metric plays an important role in deciding the coding parameter to optimize the quality of the SVC based video.

Scalable Video Coding and its Application to AT-DMB (스케일러블 비디오 부호화와 AT-DMB)

  • Kim, Jae-Gon;Kim, Jin-Soo;Choi, Hae-Chul;Kang, Jung-Won
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.45-48
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    • 2008
  • This paper presents a brief overview of scalable video coding (SVC) with a focus on spatial scalability and its application to Advanced Terrestrial-DMB (AT-DMB). By adopting SVC with two spatial-layers and hierarchical modulation, AT-DMB provides standard definition (SD)-level video while maintaining compatability with the existing CIF-level video. In this paper, we suggest a layer-configuration and coding parameters of SVC which are well suit for an AT-DMB system. In order to reduce extremely large encoding time resulted by an exhaustive search of a macroblock coding mode in spatial scalability, we propose a fast mode decision method which excludes redundant modes in each layer. It utilizes the mode distribution of each layer and their correlations. Experimental results show that a simplified encoding model with the method reduces the computational complexity significantly with negligible coding loss.

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ROI Scalability method based on H.264/SVC (H.264/SVC를 기반으로 한 ROI확장성 방법)

  • Lee, Jung-Hwan;Yoo, Chuck
    • IEMEK Journal of Embedded Systems and Applications
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    • v.4 no.1
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    • pp.35-41
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    • 2009
  • The H.264/SVC enables network-adaptive video transmission to smart device which uses wireless network. But, quality scalability of H.264/SVC does not consider personal subjective image quality. In addition, its network efficiency also does not optimized because it uses MGS(Medium Grained Scalability) and CGS(Coarse Grained Scalability). Thus, this paper proposed a new scalable ROI algorithm for not only subjective image quality improvement but also network adaptation. To experiment our proposed a scheme, we added designed algorithm to JSVM(Joint Scalable Video Model) open source video codec of H.264/SVC. Experiment was performed according to the pre-defined scenario for simulating various network conditions. Finally, experimental result showed our proposed scalable ROI scheme. It is better than traditional non-selective scheme in subjective video quality.

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Reducing Channel Capacity for Scalable Video Coding in a Distributed Network

  • Kim, Hyun-Pil;Lee, Suk-Han;Lee, Jung-Hee;Lee, Yong-Surk
    • ETRI Journal
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    • v.32 no.6
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    • pp.863-870
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    • 2010
  • In recent years, the development of multimedia devices has meant that a wider multimedia streaming service can be supported, and there are now many ways in which TV channels can communicate with different terminals. Generally, scalable video streaming is known to provide more efficient channel capacity than simulcast video streaming. Simulcast video streaming requires a large network bandwidth for all resolutions, but scalable video streaming needs only one flow for all resolutions. In previous research, scalable video streaming has been compared with simulcast video streaming for network channel capacity, in two user simulation environments. The simulation results show that the channel capacity of SVC is 16% to 20% smaller than AVC, but scalable video streaming is not efficient because of the limit of the present network framework. In this paper, we propose a new network framework with an SVC extractor. The proposed network framework shows a channel capacity 50% (maximum) lower than that found in previous research studies.