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Skip Decision and Reference Frame Selection for Low-Complexity H.264/AVC Surveillance Video Coding

Gorur, Pushkar and Amrutur, Bharadwaj (2014) Skip Decision and Reference Frame Selection for Low-Complexity H.264/AVC Surveillance Video Coding. In: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 24 (7). pp. 1156-1169.

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Official URL: http://dx.doi.org/ 10.1109/TCSVT.2014.2319611

Abstract

H. 264/advanced video coding surveillance video encoders use the Skip mode specified by the standard to reduce bandwidth. They also use multiple frames as reference for motion-compensated prediction. In this paper, we propose two techniques to reduce the bandwidth and computational cost of static camera surveillance video encoders without affecting detection and recognition performance. A spatial sampler is proposed to sample pixels that are segmented using a Gaussian mixture model. Modified weight updates are derived for the parameters of the mixture model to reduce floating point computations. A storage pattern of the parameters in memory is also modified to improve cache performance. Skip selection is performed using the segmentation results of the sampled pixels. The second contribution is a low computational cost algorithm to choose the reference frames. The proposed reference frame selection algorithm reduces the cost of coding uncovered background regions. We also study the number of reference frames required to achieve good coding efficiency. Distortion over foreground pixels is measured to quantify the performance of the proposed techniques. Experimental results show bit rate savings of up to 94.5% over methods proposed in literature on video surveillance data sets. The proposed techniques also provide up to 74.5% reduction in compression complexity without increasing the distortion over the foreground regions in the video sequence.

Item Type: Journal Article
Additional Information: Copy right for this article belongs to the IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
Keywords: Cache optimization; H.264/advanced video coding (AVC); motion detection; reference frame selection; skip decision; video surveillance
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Depositing User: Id for Latest eprints
Date Deposited: 03 Sep 2014 08:59
Last Modified: 03 Sep 2014 08:59
URI: http://eprints.iisc.ac.in/id/eprint/49727

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