relation: http://eprints.imtlucca.it/833/
title: Content-aware H.264 encoding for traffic video tracking applications
creator: Soyak, Eren
creator: Tsaftaris, Sotirios A.
creator: Katsaggelos, Aggelos K.
subject: QA75 Electronic computers. Computer science
subject: TK Electrical engineering. Electronics Nuclear engineering
description: The compression of video can reduce the accuracy of tracking algorithms, which is problematic for centralized applications that rely on remotely captured and compressed video for input. We show the effects of high compression on the features commonly used in real-time video object tracking. We propose a computationally efficient Region of Interest (ROI) extraction method, which is used during standard-compliant H.264 encoding to concentrate bitrate on regions in video most likely to contain objects of tracking interest (vehicles). This algorithm is shown to significantly increase tracking accuracy, which is measured by employing a commonly used automatic tracker.
publisher: IEEE
date: 2010-03
type: Book Section
type: PeerReviewed
identifier:   Soyak, Eren and Tsaftaris, Sotirios A. and Katsaggelos, Aggelos K.  Content-aware H.264 encoding for traffic video tracking applications.   In:  International conference on acoustics speech and signal processing (ICASSP).   IEEE, 730 -733.  ISBN 978-1-4244-4295-9       (2010)  
relation: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5495044&isnumber=5494886
relation: 10.1109/ICASSP.2010.5495044