DocumentCode :
1971498
Title :
Leveraging Multiview Video Coding in clustered Multimedia Sensor networks
Author :
Colonnese, S. ; Cuomo, Francesca ; Melodia, Tommaso
Author_Institution :
DIET, Univ. of Rome, Rome, Italy
fYear :
2012
fDate :
3-7 Dec. 2012
Firstpage :
475
Lastpage :
480
Abstract :
We experimentally characterize the compression efficiency of Multiview Video Coding (MVC) techniques in Wireless Multimedia Sensor network (WMSN) composed of multiple video cameras with possibly overlapping field of views. We derive an empirical model that predicts the compression efficiency as a function of the common sensed area (CSA) between different camera views. We show that the CSA depends not only on geometrical relationships among the relative positions of different cameras, but also on several object-related phenomena, e.g., occlusions and motion, and on low-level phenomena such as variations in illumination. We then apply the model to a WMSN, where we create clusters based on the CSA as estimated by exchanging local data. Based on this estimates, we form clusters and measure the resulting transmission rate. Numerical simulation results show that building clusters based on a CSA criterion can bring significant performance gains in terms of bandwidth efficiency. The herein presented promising results pave the way for clustering optimization taking into account different networks constraints and conditions.
Keywords :
data compression; multimedia communication; optimisation; video cameras; video coding; wireless sensor networks; CSA criterion; WMSN; bandwidth efficiency; clustered multimedia sensor networks; clustering optimization; common sensed area; compression efficiency; empirical model; multiview video coding; performance gain; transmission rate; video cameras; wireless multimedia sensor network; MVC Efficiency; Multiview Video Coding; Video Sensor Networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Communications Conference (GLOBECOM), 2012 IEEE
Conference_Location :
Anaheim, CA
ISSN :
1930-529X
Print_ISBN :
978-1-4673-0920-2
Electronic_ISBN :
1930-529X
Type :
conf
DOI :
10.1109/GLOCOM.2012.6503158
Filename :
6503158
Link To Document :
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