Paper
7 May 2003 Significance analysis of MPEG-4 video syntactical elements
Author Affiliations +
Proceedings Volume 5022, Image and Video Communications and Processing 2003; (2003) https://doi.org/10.1117/12.476706
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States
Abstract
This paper considers the transmission of QCIF resolution MPEG-4 video signals over hostile channels like wireless and mobile at transmission rate of 64 kbps. Although MPEG-4 incorporates some error resilience tools, this standard is still fragile for video transmission over time-variant deep fading channels. We investigated the significance of MPEG-4 video syntactical elements considering MPEG-4 encoded streams, QPSK modulated and delivered through Binary, AWGN and Rayleigh (50 Km/h) channels with SNR range between 0 and 40 dB. We have used four QCIF video test sequences, Foreman, News, Container and Coastguard, and enabled slice resynchronization and data partitioning modes in MPEG-4 video coding. The simulation results show that despite significance of particular elements varies with the channel SNR and with the particular test sequence, we could graphically identify two classes of significance at low channel SNRs. The most significant class includes elements such as VOP header, Video Packet header, DC Marker and DC Coefficients of INTRA-VOP & MB header. At high Rayleigh channel SNR, above 15 dB, AC coefficients of INTRA-VOPs and Motion Vectors were found to be the most significant elements. Any unequal error protection, data partitioning and grouping strategies covering a wide range of SNRs can then be designed based on the significance results presented in this paper.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Antonio Navarro and Joao Tavares "Significance analysis of MPEG-4 video syntactical elements", Proc. SPIE 5022, Image and Video Communications and Processing 2003, (7 May 2003); https://doi.org/10.1117/12.476706
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KEYWORDS
Video

Signal to noise ratio

Standards development

Video coding

Error analysis

Binary data

Image quality standards

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