Paper
2 October 2006 A performance evaluation of the data partitioning tool in H.264/AVC
Stefaan Mys, Yves Dhondt, Dieter Van de Walle, Davy De Schrijver, Rik Van de Walle
Author Affiliations +
Proceedings Volume 6391, Multimedia Systems and Applications IX; 639102 (2006) https://doi.org/10.1117/12.685829
Event: Optics East 2006, 2006, Boston, Massachusetts, United States
Abstract
In order to be able to better cope with packet loss, H.264/AVC, besides offering superior coding efficiency, also comes with a number of error resilience tools. The goal of these tools is to enable the decoding of a bitstream containing encoded video, even when parts of it are missing. On top of that, the visual quality of the decoded video should remain as high as possible. In this paper, we will discuss and evaluate one of these tools, in particular the data partitioning tool. Experimental results will show that using data partitioning can significantly improve the quality of a video sequence when packet loss occurs. However, this is only possible if the channel used for transmitting the video allows selective protection of the different data partitions. In the most extreme case, an increase in PSNR of up to 9.77 dB can be achieved. This paper will also show that the overhead caused by using data partitioning is acceptable. In terms of bit rate, the overhead amounts to approximately 13 bytes per slice. In general, this is less than 1% of the total bit rate. On top of that, using constrained intra prediction, which is required to fully exploit data partitioning, causes a decrease in quality of about 0.5 dB for high quality video and between 1 and 2 dB for low quality video.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stefaan Mys, Yves Dhondt, Dieter Van de Walle, Davy De Schrijver, and Rik Van de Walle "A performance evaluation of the data partitioning tool in H.264/AVC", Proc. SPIE 6391, Multimedia Systems and Applications IX, 639102 (2 October 2006); https://doi.org/10.1117/12.685829
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Cited by 11 scholarly publications.
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KEYWORDS
Video

Video coding

Error analysis

Quantization

Visualization

Cameras

Computer programming

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