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A study of video coding by reusing compressive sensing measurements

conference contribution
posted on 22.02.2019, 00:00 by Zhenglin WangZhenglin Wang, I Lee
Compressive Sensing (CS) is gaining popularity in video codec applications because of its low-complexity encoding procedure. However, traditional motion estimation is unable to be adopted to reduce the inter-frame redundancy in CS. Therefore, how to reduce the inter-frame redundancy is becoming the top priority for CS. In this article, similar redundancy is also discovered in excessive CS measurements via analyzing the relationship between the CS measurements and the original signal. Consequently, a proposed scheme is to conditionally reuse CS measurements to reduce the redundancy among CS measurements and increase video compression ratio. The experimental results show the proposed scheme can increase 20% compression rate. At the same time, the proposed scheme still maintains the low-complexity characteristic. © 2010 IEEE.

History

Parent Title

Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing in Conjunction with the UIC 2010 and ATC 2010 Conferences (UIC-ATC 2010)

Start Page

64

End Page

69

Number of Pages

6

Start Date

26/12/2010

Finish Date

29/10/2010

ISBN-13

9781424490431

Location

Xian, Shaanxi, China

Publisher

IEEE

Place of Publication

Piscataway, NJ

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

University of South Australia

Era Eligible

Yes

Name of Conference

7th International Conference on Ubiquitous Intelligence & Computing and 7th International Conference on Autonomic & Trusted Computing (UIC-ATC 2010)

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