Error Resilient Coding and Error Concealment in Scalable Video Coding

Dept. of Electron. Eng. & Inf. Sci., Univ. of Sci. & Technol. of China, Hefei
IEEE Transactions on Circuits and Systems for Video Technology (Impact Factor: 1.82). 07/2009; DOI: 10.1109/TCSVT.2009.2017311
Source: DBLP

ABSTRACT Scalable video coding (SVC), which is the scalable extension of the H.264/AVC standard, was developed by the Joint Video Team (JVT) of ISO/IEC MPEG (Moving Picture Experts Group) and ITU-T VCEG (Video Coding Experts Group). SVC is designed to provide adaptation capability for heterogeneous network structures and different receiving devices with the help of temporal, spatial, and quality scalabilities. It is challenging to achieve graceful quality degradation in an error-prone environment, since channel errors can drastically deteriorate the quality of the video. Error resilient coding and error concealment techniques have been introduced into SVC to reduce the quality degradation impact of transmission errors. Some of the techniques are inherited from or applicable also to H.264/AVC, while some of them take advantage of the SVC coding structure and coding tools. In this paper, the error resilient coding and error concealment tools in SVC are first reviewed. Then, several important tools such as loss-aware rate-distortion optimized macroblock mode decision algorithm and error concealment methods in SVC are discussed and experimental results are provided to show the benefits from them. The results demonstrate that PSNR gains can be achieved for the conventional inter prediction (IPPP) coding structure or the hierarchical bi-predictive (B) picture coding structure with large group of pictures size, for all the tested sequences and under various combinations of packet loss rates, compared with the basic joint scalable video model (JSVM) design applying no error resilient tools at the encoder and only picture copy error concealment method at the decoder.

  • [Show abstract] [Hide abstract]
    ABSTRACT: A special type of cooperative wireless transmission scheme is proposed for the broadcasting of scalable video sources. In the proposed system, a transmitter with multiple antennas sends out signals by encoding layered space-time codes. The receiver alone without cooperation can decode the base layer to get the basic quality of the video. For the cooperative terminals, with the help of relayed information, the enhanced layers can be retrieved and then the visual quality can be refined. Simulation results with video bitstreams encoded by H.264/scalable video coding show that the proposed system can enhance the scalable functionality of the video. Index Terms—Cooperative wireless communication, scalable video coding (SVC), space-time coding (STC).
    IEEE Transactions on Circuits and Systems for Video Technology 01/2011; 21:816-824. · 1.82 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: The visual quality obtained in wireless transmission strongly depends on the characteristics of the wireless channel and on the error resilience of the source coding. The wireless extensions of the JPEG 2000 standard (JPWL) and H.264 are the latest international standards for still image and video compression, respectively. However, few results have been reported to compare the rate-distortion (R-D) performance of JPEG 2000 and H.264. Conversely, comparative studies of error resilience between JPWL and H.264 for wireless still image transmission have not been thoroughly investigated. In this paper, we analyse the error resilience of image coding based on JPWL and H.264 I-frame coding in Rayleigh fading channels. Comprehensive objective and perceptual results are presented in relation to the error resilience performance of these two standards under various conditions. Our simulation results reveal that H.264 is more robust to transmission errors than JPWL for wireless still image transmission.
    Signal Processing and Communication Systems (ICSPCS), 2010 4th International Conference on; 01/2011
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: This paper proposes a new balanced resource scheduling (BRS) scheme with adaptive priority thresholds for orthogonal frequency-division multiple-access (OFDMA) downlink systems. The BRS scheme achieves an excellent balance between quality-of-service (QoS) requirement guarantee and system throughput enhancement, whereas conventional schemes cannot explicitly and accurately control this tradeoff. Based on the adaptive priority threshold of each user, the BRS scheme first performs a priority-based resource allocation (RA) algorithm for users whose priority value is larger than its priority threshold to fulfill the QoS requirement. The BRS scheme then performs a channel-state-information (CSI)-based RA algorithm for the remaining users to enhance system throughput. To achieve balance between QoS guarantee and throughput enhancement, a fuzzy inference priority threshold generator adaptively and intelligently adjusts the priority threshold of each user. Simulation results show that the proposed BRS scheme with adaptive priority threshold enhances the system throughput by 16%, 8.5%, 8.2%, and 46.8% at traffic load of 0.93, compared with conventional adaptive radio RA (RRA), utility-based RRA, utility-based throughput maximization and complexity reduction scheduling, and fairness and QoS guarantee scheduling with fuzzy controls schemes, respectively, under a QoS requirement guarantee. This approach also outperforms the BRS scheme with fixed priority ''"" --thresholds in both throughput enhancement and QoS guarantee.
    IEEE Transactions on Vehicular Technology 01/2012; 61(3):1276-1286. · 2.06 Impact Factor

Full-text (2 Sources)

Available from
Jun 4, 2014