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Tracking-Optimized Quantization for H.264 Compression in Transportation Video Surveillance Applications

Soyak, Eren and Tsaftaris, Sotirios A. and Katsaggelos, Aggelos K. Tracking-Optimized Quantization for H.264 Compression in Transportation Video Surveillance Applications. In: IEEE International Conference on Image Processing (ICIP 2011). IEEE, pp. 153-156. (2011)

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Abstract

We propose a tracking-aware system that removes video components of low tracking interest and optimizes the quantization during compression of frequency coefficients, particularly those that most influence trackers, significantly reducing bitrate while maintaining comparable tracking accuracy. We utilize tracking accuracy as our compression criterion in lieu of mean squared error metrics. The process of optimizing quantization tables suitable for automated tracking can be executed online or offline. The online implementation initializes the encoding procedure for a specific scene, but introduces delay. On the other hand, the offline procedure produces globally optimum quantization tables where the optimization occurs for a collection of video sequences. Our proposed system is designed with low processing power and memory requirements in mind, and as such can be deployed on remote nodes. Using H.264/AVC video coding and a commonly used state-of-the-art tracker we show that while maintaining comparable tracking accuracy our system allows for over 50% bitrate savings on top of existing savings from previous work.

Item Type: Book Section
Identification Number: https://doi.org/10.1109/ICIP.2011.6115739
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Research Area: Computer Science and Applications
Depositing User: Users 35 not found.
Date Deposited: 04 Sep 2012 09:32
Last Modified: 05 Mar 2013 15:10
URI: http://eprints.imtlucca.it/id/eprint/1333

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