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Video encoder optimization for efficient video analysis in resource-limited systems

Rajakaruna, RMTP, Fernando, Warnakulasuriya and Calic, Janko (2011) Video encoder optimization for efficient video analysis in resource-limited systems In: ICIIS 2011, 2011-08-16 - 2011-08-19, Kandy, Sri Lanka.

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Performance of real-time video processing applications such as surveillance systems, content-based search, is limited by the complexity of video content analysis in the pixel domain. A low complex alternative is to analyse the video in the compressed domain, where content features already available in the compressed video are directly used in the analysis. However, this is achieved at the expense of output precision and reliability, due to compression-efficiency driven feature selection at the encoder. Therefore, video applications could benefit from enhanced reliability of data embedded in the compressed video. In this paper, we present a scalable optimization model that addresses the accuracy of content features in parallel with the conventional rate-distortion optimization criterion. We analyse and optimize rate-distortion performance of video encoder under content description accuracy constrain, using a motion calibrated synthetic data set containing a range of scene and motion complexity levels. Finally, using a natural video data set, we demonstrate that the proposed optimization framework can be used to enhance compressed feature accuracy without incurring a rate-distortion overhead.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :
Rajakaruna, RMTP
Date : 10 September 2011
DOI : 10.1109/ICIINFS.2011.6038062
Copyright Disclaimer : © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Contributors :
Depositing User : Symplectic Elements
Date Deposited : 29 Nov 2013 16:33
Last Modified : 16 Jan 2019 16:49

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