On Improving the Robustness of Compressed Video by Slepian-Wolf Based Lossless Transcoding

被引:1
|
作者
Fan, Xiaopeng [1 ]
Au, Oscar C. [1 ]
Ma, Mengyao [1 ]
Hou, Ling [1 ]
Zhou, Jiantao [1 ]
Cheung, Ngai Man [1 ]
机构
[1] Hong Kong Univ Sci & Technol, Sch Elect & Comp Engn, Hong Kong, Hong Kong, Peoples R China
关键词
D O I
10.1109/ISCAS.2009.5117898
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A variety of techniques have been proposed to enhance the error robustness of the video streaming system. However, most of them improve the error resilience during compression rather than after compression. In this paper, we propose a novel transcoding based scheme called Slepian-Wolf based inter frame transcoding (SWIFT) to improve the error resilience of existing compressed video stream. In the SWIFT scheme, inter coded blocks are selectively transcoded into new kind of blocks called 'X-block'. At the decoder, the X-block can be transcoded back to the original P-block when there is no error in the prediction, and can also be robustly decoded as I-block when there are errors in the prediction. In the experiments, the proposed SWIFT scheme does not introduce transcoding distortion as expected, and always improves the robustness of the compressed video at all packet loss rate. Compared with the H.264 based transcoder, SWIFT achieves better RD performance and error resilience performance.
引用
收藏
页码:884 / 887
页数:4
相关论文
共 46 条
  • [1] Layered Lossless Video Coding based on Slepian-Wolf Theorem
    Nakachi, Takayuki
    Fujii, Tatsuya
    2015 INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING AND COMMUNICATION SYSTEMS (ISPACS), 2015, : 652 - 657
  • [2] On code design for the Slepian-Wolf problem and lossless multiterminal networks
    Stankovic, V
    Liveris, AD
    Xiong, ZX
    Georghiades, CN
    IEEE TRANSACTIONS ON INFORMATION THEORY, 2006, 52 (04) : 1495 - 1507
  • [3] A novel multiple description video codec based on Slepian-Wolf coding
    Fan, Yuhua
    Wang, Jia
    Sun, Jun
    Wang, Peng
    Yui, Songyu
    DCC: 2008 DATA COMPRESSION CONFERENCE, PROCEEDINGS, 2008, : 515 - 515
  • [4] Slepian-Wolf SPIHT Video Coding Scheme without Feedback
    Chia, Wai Chong
    Ang, Li Minn
    Seng, Kah Phooi
    INTERNATIONAL SYMPOSIUM OF INFORMATION TECHNOLOGY 2008, VOLS 1-4, PROCEEDINGS: COGNITIVE INFORMATICS: BRIDGING NATURAL AND ARTIFICIAL KNOWLEDGE, 2008, : 2332 - 2335
  • [5] SLEPIAN-WOLF VIDEO CODING WITH RESOLUTION-PROGRESSIVE TRANSMISSION
    Nakachi, Takayuki
    Ishihara, Shinya
    2017 INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING AND COMMUNICATION SYSTEMS (ISPACS 2017), 2017, : 170 - 175
  • [6] Symbol positions-based Slepian-Wolf coding with application to distributed video coding
    Benierbah, Said
    Khamadja, Mohammed
    IET IMAGE PROCESSING, 2020, 14 (11) : 2301 - 2309
  • [7] Adaptive Slepian-Wolf Decoding Based on Expectation Propagation
    Cui, Lijuan
    Wang, Shuang
    Cheng, Samuel
    IEEE COMMUNICATIONS LETTERS, 2012, 16 (02) : 252 - 255
  • [8] Low-complexity approaches to Slepian-Wolf near-lossless distributed data compression
    Coleman, Todd P.
    Lee, Anna H.
    Medard, Muriel
    Effros, Michelle
    IEEE TRANSACTIONS ON INFORMATION THEORY, 2006, 52 (08) : 3546 - 3561
  • [9] An Analysis of Slepian-Wolf Coding Problem Based on the Asymptotic Normality
    Nomura, Ryo
    Matsushima, Toshiyasu
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2011, E94A (11) : 2220 - 2225
  • [10] Partial Binary Encoding for Slepian-Wolf Based Proof of Retrievability
    Beng, Tan Choon
    Hijazi, Mohd Hanafi Ahmad
    Lim, Yuto
    PROCEEDINGS OF THE 2017 IEEE 15TH STUDENT CONFERENCE ON RESEARCH AND DEVELOPMENT (SCORED), 2017, : 50 - 55