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Multiple Description Coding for Snr Scalable Video Transmission Over Unreliable Networks

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Date

2014

Journal Title

Journal ISSN

Volume Title

Publisher

Springer

Open Access Color

HYBRID

Green Open Access

Yes

OpenAIRE Downloads

4

OpenAIRE Views

6

Publicly Funded

No
Impulse
Average
Influence
Average
Popularity
Average

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Journal Issue

Abstract

Streaming multimedia data on best-effort networks such as the Internet requires measures against bandwidth fluctuations and frame loss. Multiple Description Coding (MDC) methods are used to overcome the jitter and delay problems arising from frame losses by making the transmitted data more error resilient. Meanwhile, varying characteristics of receiving devices require adaptation of video data. Data transmission in multiple descriptions provides the feasibility of receiving it partially and hence having a scalable and adaptive video. In this paper, a new method based on integrating MDC and signal-to-noise ratio (SNR) scalable video coding algorithms is proposed. Our method introduces a transform on data to permit transmitting them using independent descriptions. Our results indicate that on average 1.71dB reduction in terms of Y-PSNR occurs if only one description is received.

Description

Tolun, Mehmet Resit/0000-0002-8478-7220

Keywords

Scalable Video Coding, Multiple Description Coding, Multimedia Transmission, Computer Science, Information Systems, Computer Networks and Communications, scalable video coding, Engineering, Electrical & Electronic, multiple description coding, Computer Science, Software Engineering, multimedia transmission, 003, Engineering, Computer Science, Theory & Methods, Hardware and Architecture, Computer Science, Media Technology, Software

Fields of Science

02 engineering and technology, 0202 electrical engineering, electronic engineering, information engineering

Citation

Choupani, Roya; Wong, Stephan; Tolun, Mehmet R., "Multiple description coding for SNR scalable video transmission over unreliable networks", Multimedia Tools And Applications, Vol69, No.3, pp.843-858, (2014).

WoS Q

Q2

Scopus Q

Q1
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OpenCitations Citation Count
5

Source

Multimedia Tools and Applications

Volume

69

Issue

3

Start Page

843

End Page

858
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Citations

CrossRef : 5

Scopus : 7

Captures

Mendeley Readers : 14

SCOPUS™ Citations

7

checked on Feb 25, 2026

Web of Science™ Citations

4

checked on Feb 25, 2026

Page Views

3

checked on Feb 25, 2026

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1.38259989

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