A joint encoder-decoder error control framework for stereoscopic video coding

被引:4
|
作者
Xiang, Xinguang [1 ]
Zhao, Debin [1 ]
Wang, Qiang [1 ]
Ma, Siwei [2 ,3 ]
Gao, Wen [2 ]
机构
[1] Harbin Inst Technol, Harbin 150006, Peoples R China
[2] Peking Univ, Beijing 100871, Peoples R China
[3] Beihang Univ, State Key Lab Virtual Real Technol & Syst, Beijing, Peoples R China
基金
美国国家科学基金会;
关键词
Stereoscopic video coding; Error concealment; Error resilience; Joint encoder-decoder error contra; Inter-view refreshment; End-to-end distortion model; Overlapped block motion and disparity; compensation; Rate-distortion; MODE SELECTION; CONCEALMENT; COMMUNICATION;
D O I
10.1016/j.jvcir.2010.07.002
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Stereoscopic video coding (SSVC) plays an important role in various 3D video applications. In SSVC, robust stereoscopic video transmission over error-prone networks is still a challenge problem to be solved. In this paper, we propose a joint encoder-decoder error control framework for SSVC, where error-resilient source coding, transmission network conditions, and error concealment scheme are jointly considered to achieve better error robustness performance. The proposed joint encoder-decoder error control framework includes two parts: an error concealment algorithm at the decoder side and a rate-distortion optimized error resilience algorithm at the encoder side. For error concealment at the decoder side, an overlapped block motion and disparity compensation based error concealment scheme is proposed to adaptively utilize inter-view correlations and temporal correlations. For error resilience at the encoder side, first, the inter-view refreshment is proposed for SSVC to suppress error propagations. Then, an end-to-end distortion model for SSVC is derived, which jointly considers the transmission network conditions, inter-view refreshment, and error concealment tools at the decoder side. Finally, based on the derived end-to-end distortion model, the rate-distortion optimized error resilience algorithm is presented to adaptively select inter-view, inter- or intra-coding for SSVC. The experimental results show that the proposed joint encoder-decoder error control framework has superior error robustness performance for stereoscopic video transmission over error-prone networks. (c) 2010 Elsevier Inc. All rights reserved.
引用
收藏
页码:975 / 985
页数:11
相关论文
共 50 条
  • [41] DSLSTM: a deep convolutional encoder-decoder architecture for abnormality detection in video surveillance
    Roka, Sanjay
    Diwakar, Manoj
    [J]. CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2024, 27 (04): : 4925 - 4940
  • [42] Dense Video Captioning with Hierarchical Attention-Based Encoder-Decoder Networks
    Yu, Mingjing
    Zheng, Huicheng
    Liu, Zehua
    [J]. 2021 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2021,
  • [43] Symmetry Encoder-Decoder Network with Attention Mechanism for Fast Video Object Segmentation
    Guo, Mingyue
    Zhang, Dejun
    Sun, Jun
    Wu, Yiqi
    [J]. SYMMETRY-BASEL, 2019, 11 (08):
  • [44] Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation
    Dorent, Reuben
    Joutard, Samuel
    Modat, Marc
    Ourselin, Sebastien
    Vercauteren, Tom
    [J]. MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2019, PT II, 2019, 11765 : 74 - 82
  • [45] Joint Encoder-Decoder Self-Supervised Pre-training for ASR
    Arunkumar, A.
    Umesh, S.
    [J]. INTERSPEECH 2022, 2022, : 3418 - 3422
  • [46] Stacked residual blocks based encoder-decoder framework for human motion prediction
    Liu, Xiaoli
    Yin, Jianqin
    [J]. COGNITIVE COMPUTATION AND SYSTEMS, 2020, 2 (04) : 242 - 246
  • [47] Flood Detection and Control Using Deep Convolutional Encoder-decoder Architecture
    Baydargil, Husnu Baris
    Serdaroglu, Serkan
    Park, Jang-Sik
    Park, Kwang-Hee
    Shin, Hyun-Suk
    [J]. 2018 INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY ROBOTICS (ICT-ROBOT), 2018,
  • [48] Encoder-decoder design for feedback control over the binary symmetric channel
    Bao, Lei
    Skoglund, Mikael
    Johansson, Karl Henrik
    [J]. 2006 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY, VOLS 1-6, PROCEEDINGS, 2006, : 2481 - +
  • [49] The exploration of a Temporal Convolutional Network combined with Encoder-Decoder framework for runoff forecasting
    Lin, Kangling
    Sheng, Sheng
    Zhou, Yanlai
    Liu, Feng
    Li, Zhiyu
    Chen, Hua
    Xu, Chong-Yu
    Chen, Jie
    Guo, Shenglian
    [J]. HYDROLOGY RESEARCH, 2020, 51 (05): : 1136 - 1149
  • [50] Conceptual Framework of Smart Factory based on OPC UA and LSTM Encoder-Decoder
    Wen, Xianhe
    Chen, Heping
    Wen, Binhe
    Liu, Jiang
    Li, Yaonan
    Xi, Ning
    [J]. 2018 IEEE 1ST INTERNATIONAL CONFERENCE ON MICRO/NANO SENSORS FOR AI, HEALTHCARE, AND ROBOTICS (NSENS), 2018, : 44 - 48