DocumentCode
3561996
Title
Distributed compressive video sensing: A review of the state-of-the-art architectures
Author
Imran, Nomica ; Boon-Chong Seet ; Fong, A.C.M.
Author_Institution
Sch. of Eng., Auckland Univ. of Technol., Auckland, New Zealand
fYear
2012
Firstpage
68
Lastpage
73
Abstract
Low complexity video coding that provides efficient compression with reasonable reconstruction quality has been a desired requirement for resource-constrained video sensors in distributed vision-based sensing applications. In this paper, we present a review of the state-of-the-art codec architectures based on distributed compressive video sensing (DCVS), which is a relatively new video coding paradigm that integrates the techniques of distributed video coding (DVC) and compressive sensing (CS). The review includes a comparative discussion of several well-known DCVS architectures in literature with a focus on their functional aspects, and suggests a number of possible enhancements to the design of these architectures.
Keywords
compressed sensing; distributed sensors; image enhancement; image reconstruction; image sensors; video codecs; video coding; CS; DCVS; DVC; compressive sensing; distributed compressive video sensing application; low complexity distributed video coding; reconstruction quality; resource-constrained video sensor; state-of-the-art codec architecture; Computer architecture; Decoding; Dictionaries; Encoding; Sensors; Silicon; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Machine Vision in Practice (M2VIP), 2012 19th International Conference
Print_ISBN
978-1-4673-1643-9
Type
conf
Filename
6484569
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