DocumentCode :
2057544
Title :
Energy efficient adaptive video compression scheme for WVSNs
Author :
Fdili, Othmane Alaoui ; Coudoux, Francois-Xavier ; Fakhri, Youssef ; Corlay, Patrick ; Aboutajdine, Driss
Author_Institution :
LRIT, Univ. Mohammed V - Agdal, Rabat, Morocco
fYear :
2013
fDate :
9-13 Sept. 2013
Firstpage :
1
Lastpage :
5
Abstract :
This paper presents an energy efficient adaptive video compression scheme dedicated to wireless video sensor networks. This scheme based on the recent H.264/AVC standard operates using two modes, namely the standby mode and the rush mode. In the standby mode, frame rate is limited while image quality is maintained to a high level. In the rush mode, the frame rate is increased and the Flexible Macroblock Ordering coding tool provided by the H.264/AVC video compression standard is used to produce two service-differentiated macroblocks categories: region of interest (ROI) and background (BKGD). In addition, bit rate adaptation based on frequency selectivity is applied to reduce background data amount. Hence, transmission energy consumption is decreased while maintaining a high quality for ROI. Simulations proved the energy efficiency of the proposed scheme that enables to extend network´s lifetime up to three times, and achieves high quality ROIs even at low bit rates.
Keywords :
adaptive codes; code standards; data compression; error statistics; network coding; video coding; wireless sensor networks; H.264-AVC video compression standard; ROI; WVSNS; background reduction; bit rate adaptation; energy efficient adaptive video compression scheme; flexible macroblock ordering coding tool; frame rate; frequency selectivity; image quality maintenance; network lifetime; region of interest; rush mode; service differentiated macroblock category; standby mode; transmission energy consumption; wireless video sensor network; Abstracts; Bit rate; Computational modeling; Energy efficiency; Entropy; Video coding; Energy efficiency; Flexible Macroblock Ordering; H.264/AVC; Video Compression; WVSN;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2013 Proceedings of the 21st European
Conference_Location :
Marrakech
Type :
conf
Filename :
6811596
Link To Document :
بازگشت