DocumentCode
442528
Title
Scene analysis for reducing motion JPEG 2000 video surveillance delivery bandwidth and complexity
Author
Meessen, Jerome ; Parisot, Christophe ; Desurmont, Xavier ; Delaigle, Jean-François
Author_Institution
Dept. of Image Process., Multitel A.S.B.L, Mons, Belgium
Volume
1
fYear
2005
fDate
11-14 Sept. 2005
Abstract
In this paper, we propose a new object-based video coding/transmission system using the emerging motion JPEG 2000 standard for the efficient storage and delivery of video surveillance over low bandwidth channels. Some recent papers deal with JPEG 2000 coding/transmission based on the region of interest (ROI) feature and the multi-layer capability provided by this coding system. Those approaches allow delivering more quality for mobile objects (or ROI) than for the background when bandwidth is too narrow for a sufficient video quality. The method proposed here provides the same features while significantly improving the average bitrate/quality ratio of delivered video when cameras are static. We transmit only ROIs of each frame as well as an automatic estimation of the background at a lower frame rate in two separate motion JPEG 2000 streams. The frames are then reconstructed at the client side without the need of other external data. Our method provides both better video quality and reduced client CPU usage with negligible storage overhead. Video surveillance streams stored on the server are fully compliant with existing motion JPEG 2000 decoders.
Keywords
bandwidth allocation; motion estimation; surveillance; telecommunication channels; video coding; video streaming; background automatic estimation; bandwidth channels; delivery bandwidth; motion JPEG 2000 video surveillance; region of interest; scene analysis; video quality; Bandwidth; Bit rate; Cameras; Decoding; Image analysis; Motion analysis; Motion estimation; Streaming media; Video coding; Video surveillance; Motion JPEG 2000; object-based coding; segmentation; video surveillance;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN
0-7803-9134-9
Type
conf
DOI
10.1109/ICIP.2005.1529816
Filename
1529816
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