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
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;
Conference_Titel :
Mechatronics and Machine Vision in Practice (M2VIP), 2012 19th International Conference
Print_ISBN :
978-1-4673-1643-9