Rate-Distortion and Rate-Energy-Distortion Evaluations of Compressive-Sensing Video Coding

Autor: Bingyu Ji, Ran Li, Changan Wu
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: International Journal of Digital Multimedia Broadcasting, Vol 2017 (2017)
Druh dokumentu: article
ISSN: 1687-7578
1687-7586
DOI: 10.1155/2017/4589124
Popis: Compressive-Sensing Video Coding (CSVC) is a new video coding framework based on compressive-sensing (CS) theory. This paper presents the evaluations on rate-distortion performance and rate-energy-distortion performance of CSVC by comparing it with the popular hybrid video coding standard H.264 and distributed video coding (DVC) system DISCOVER. Experimental results show that CSVC achieves a poor rate-distortion performance when compared with H.264 and DISCOVER, but its rate-energy-distortion performance has a distinct advantage; moreover, its energy consumption of coding is approximately invariant regardless of reconstruction quality. It can be concluded that, with a limited energy budget, CSVC outperforms H.264 and DISCOVER, but its rate-distortion performance still needs improvement.
Databáze: Directory of Open Access Journals
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