DocumentCode :
116200
Title :
A cognitive perspective for information processing in bandwidth-limited wireless communications
Author :
Xiaoming Tao ; Linhao Dong ; Shaoyang Li ; Yang Li ; Ning Ge ; Jianhua Lu
Author_Institution :
Tsinghua Nat. Lab. for Inf. Sci. & Technol., Tsinghua Univ., Beijing, China
fYear :
2014
fDate :
18-20 Aug. 2014
Firstpage :
289
Lastpage :
295
Abstract :
The demands for wireless network bandwidth are rapidly increasing with the expanding number of mobile users as well as the diversification in types of services. Although fast-developing communication techniques continue to enlarge the network capacity, the growth rate of the huge amount of users´ demands still outstrip the gains. Learning from the information cognition process of human brains, we introduce new methods to exploit priori information in wireless communications, uncovering a promising area of research in data compression. We showcase the video conversation afforded by such techniques as an example of multimedia communication and propose a modelbased video coding scheme to improve the coding efficiency. Experiment results show that, compared to the conventional video compression codecs, the proposed scheme significantly reduce the data rate while guaranteeing high quality video transmission.
Keywords :
cognitive radio; data compression; multimedia communication; radio networks; video coding; video communication; bandwidth-limited wireless communications; coding efficiency; cognitive perspective; communication techniques; information cognition process; information processing; mobile users; model-based video coding scheme; multimedia communication; video compression codecs; video transmission; wireless network bandwidth; Encoding; Face; Mobile communication; Receivers; Shape; Video coding; Wireless communication; Cognitive information; bandwidth-limited wireless communications; big data; model-based video coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cognitive Informatics & Cognitive Computing (ICCI*CC), 2014 IEEE 13th International Conference on
Conference_Location :
London
Print_ISBN :
978-1-4799-6080-4
Type :
conf
DOI :
10.1109/ICCI-CC.2014.6921473
Filename :
6921473
Link To Document :
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