NDLI: An approach towards a full-reference-based benchmarking for quality-optimized endoscopic video stabilization systems

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An approach towards a full-reference-based benchmarking for quality-optimized endoscopic video stabilization systems

Content Provider	ACM Digital Library
Author	Gross, Thomas Offiah, Marvin C. Borschbach, Markus Amin, Navya El-Sourani, Nail
Abstract	Since the last two decades, research in the area of video stabilization has been tremendously increasing. More and more algorithms are being developed for counteracting the distortions existing in the videos. In the field of invasive diagnostics and therapy, as a result of manual handling of the diagnostic apparatus, occurrence of these distortions is unavoidable leaving the resulting videos speculative for examiners. Therefore, development of stabilization algorithms, specifically for the endoscopic videos, has become crucial. Despite of the stabilization process, the resultant videos are left with some distortions, leaving the stabilization algorithm unimpressive. As yet reduced-reference-based metrics for stabilized video quality assessment have been developed. Objective assessment of these videos using full-reference videos could help accurately benchmark the stabilization algorithms which this paper focuses on. A comparison of stabilized versions of synthetically distorted videos to their synthetic full-reference videos is performed in the current study.
Starting Page	1
Ending Page	8
Page Count	8
File Format	PDF
ISBN	9781450316606
DOI	10.1145/2425333.2425398
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-12-16
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Op Psnr Fidelity Mssim Gtf Ground-truth Itf Robustness Endoscopy Video stabilization Noise tolerance
Content Type	Text
Resource Type	Article

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