Structural pattern‐based approach for Betacam dropout detection in degraded archived media-Reference-Cited by-同舟云学术

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Structural pattern‐based approach for Betacam dropout detection in degraded archived media

Published:2019-01 Issue:1 Volume:13 Page:224-232
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Song Gihun¹^ORCID,Roy Kaushik¹^ORCID,Ahn Kiok²,Wadud M. Abdullah‐Al‐³,Iqbal Md. Tauhid Bin¹,Chae Oksam¹

Affiliation:

1. Department of Computer Science and EngineeringKyung Hee University1732, Deogyeong‐daero, Giheung‐gu17104Young‐inGyeonggi‐doRepublic of Korea

2. R&D Center, ITA TechnologySeoulRepublic of Korea

3. Department of Software EngineeringKing Saud University11543RiyadhSaudi Arabia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2018.5859

Reference30 articles.

1. ‘KBS (Korean Broadcasting System) Archives Holdings’. Available athttp://kbsarchive.com/quantity/ accessed 31 December 2017

2. ‘BRAVA (Broadcast Restoration of Archives Through Video Analysis)’. Available athttps://cordis.europa.eu/project/rcn/55075_es.html accessed 10 July 2018

3. ‘Baton from Interrasystems’. Available athttp://www.interrasystems.com/file‐based‐qc.php accessed 10 July 2018

4. ‘Cerify from Tektronix’. Available athttp://www.tek.com/file‐based‐qc/cerify‐video‐content‐analysis accessed 10 July 2018

5. On Missing Data Treatment for Degraded Video and Film Archives: A Survey and a New Bayesian Approach

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