eprintid: 1336
rev_number: 9
eprint_status: archive
userid: 35
dir: disk0/00/00/13/36
datestamp: 2012-09-04 09:02:27
lastmod: 2013-03-05 15:09:06
status_changed: 2012-09-04 09:02:27
type: book_section
metadata_visibility: show
creators_name: Soyak, Eren
creators_name: Tsaftaris, Sotirios A.
creators_name: Katsaggelos, Aggelos K.
creators_id: 
creators_id: sotirios.tsaftaris@imtlucca.it
creators_id: 
title: Channel protection for H.264 compression in transportation video surveillance applications
ispublished: pub
subjects: QA75
subjects: TK
divisions: CSA
full_text_status: none
keywords: H.264 compression;automated tracking;channel protection;common tracker;compressed bitstream;concealed video;decoded video;lossy wireless links;low-complexity;redundancy;subsequent partial loss;transportation video surveillance;video compression;video processing;data compression;decoding;redundancy;transportation;video coding;video surveillance;
abstract: The compression of video and subsequent partial loss of the compressed bitstream can dramatically reduce the accuracy of automated tracking algorithms. This is problematic for centralized applications such as transportation surveillance systems, where remotely captured and compressed video is transmitted over lossy wireless links to a central location for tracking. We propose a low-complexity method for protecting compressed video against channel loss such that the tracking accuracy of decoded and concealed video is maximized. Our algorithm leverages a previous method of video processing that removes components of low tracking interest before compression to minimize bitrate, and uses some of the bitrate savings to introduce redundancy into the transmitted bitstream to reduce the probability of information loss. We show using a common tracker and loss concealment algorithm that our system allows for up to 100 increased tracking accuracy at a given bitrate, or 90 bitrate savings for comparable tracking quality.
date: 2011-09
date_type: published
publisher: IEEE
pagerange: 2237 -2240
event_title: Image Processing (ICIP), 2011 18th IEEE International Conference on
id_number: 10.1109/ICIP.2011.6116082
refereed: TRUE
isbn: 978-1-4577-1302-6
book_title: 18th IEEE International Conference on Image Processing (ICIP)
official_url: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6116082
citation:   Soyak, Eren and Tsaftaris, Sotirios A. and Katsaggelos, Aggelos K.  Channel protection for H.264 compression in transportation video surveillance applications.   In:  18th IEEE International Conference on Image Processing (ICIP).   IEEE, 2237 -2240.  ISBN 978-1-4577-1302-6      (2011)