Constrained inter prediction: Removing dependencies between different data partitions

Authors:
Yves Dhondt;Stefaan Mys;Kenneth Vermeirsch;Rik Van de Walle
Affiliations:
Department of Electronics and Information Systems - Multimedia Lab, Ghent University - IBBT, Ghent, Belgium;Department of Electronics and Information Systems - Multimedia Lab, Ghent University - IBBT, Ghent, Belgium;Department of Electronics and Information Systems - Multimedia Lab, Ghent University - IBBT, Ghent, Belgium;Department of Electronics and Information Systems - Multimedia Lab, Ghent University - IBBT, Ghent, Belgium
Venue:
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
Year:
2007

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Abstract

With the growing demand for low delay video streaming in error-prone environments, error resilience tools, such as the data partitioning tool in the H.264/AVC specification, are becoming more and more important. In this paper, the introduction of constrained inter prediction into the H.264/AVC specification is proposed. Constrained inter prediction can help the data partitioning tool by removing the dependencies between partitions B and C, thereby making it possible to process partition C if partition B is lost. From the experimental results it is observed that the cost for introducing this technique can be neglected. Furthermore, when constrained inter prediction is used in combination with constrained intra prediction, resulting bitstreams have an increased peak signal-to-noise ratio of up to 1.8 dB in error-prone environments compared to when only constrained intra prediction is used.