Soyak, Eren and Tsaftaris, Sotirios A. and Katsaggelos, Aggelos K. Quantization optimized H.264 encoding for traffic video tracking applications. In: 17th IEEE international conference on image processing (ICIP). IEEE, 1241 -1244. ISBN 978-1-4244-7993-1 (2010)
Full text not available from this repository.Abstract
The compression of video can reduce the accuracy of post-compression tracking algorithms. This is problematic for centralized applications such as traffic surveillance systems, where remotely captured and compressed video is transmitted to a central location for tracking. We propose a low complexity optimization framework that automatically identifies video features critical to tracking and concentrates bitrate on these features via quantization tables. Using the H.264 video coding standard and two commonly used state-of-the-art trackers we show that our algorithm allows for over 60 bitrate savings while maintaining comparable tracking accuracy.
| Item Type: | Book Section |
|---|---|
| Identification Number: | https://doi.org/10.1109/ICIP.2010.5652364 |
| Uncontrolled Keywords: | H.264 encoding; post compression tracking; traffic video tracking; video coding standard; video compression; encoding;video coding; |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Research Area: | Computer Science and Applications |
| Depositing User: | Users 35 not found. |
| Date Deposited: | 08 Sep 2011 13:20 |
| Last Modified: | 05 Mar 2013 15:33 |
| URI: | http://eprints.imtlucca.it/id/eprint/847 |
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