Human Perception & Advancements in File-Based QC

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Publisher: SMPTE — White Plains, NY
Doc Type: Conference Paper
Content Type: Original Research
Volume: 2012, No. 10, pp. 1–6
Abstract: Archiving and retrieval of video picture assets has always presented an issue as to ensuring that the recovered asset contains the best quality picture possible. While current methods exist to detect (and correct) artifacts from the original camera negative, this is generally not the case with the medium available from the archive. The more common medium for retrieval is a digital video tape or film print. When retrieving video pictures from digital video tape or film prints, artifacts are generally introduced via methods that are difficult to detect without use of the human visual system, since many of these artifacts do not have a common, mathematically definable pattern to them. These artifacts can include film tearing, film dirt, analog noise, block-based digital drop outs and others. This paper covers a newly designed metric and the implementation methods used to automatically find these types of artifacts without need of an external reference, substantially functioning and locating artifacts in the same method as the human visual system. The paper also shows the commercial viability of this metric in a system, and how this metric is useful and cost-saving for file-based content preparers compared to existing, manual processes for content review. The methods and system described herein are patent pending.
Publication Date: 2012-10-01
DOI: 10.5594/M001447
Link: https://doi.org/10.5594/M001447
Author(s): Eric CarsonDigimetrics
Atul RavindranDigimetrics
Copyright: © 2012 Society of Motion Picture and Television Engineers, Inc.

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Eric Carson and Atul Ravindran; Human Perception & Advancements in File-Based QC, SMPTE Meetings and Conferences ( October 2012); SMPTE, 2012. Available at https://doi.org/10.5594/M001447

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Eric Carson and Atul Ravindran; Human Perception & Advancements in File-Based QC, SMPTE Meetings and Conferences ( October 2012); SMPTE, 2012. Available at https://doi.org/10.5594/M001447

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<span class="citation">Eric Carson and Atul Ravindran; <cite>Human Perception &amp; Advancements in File-Based QC</cite>, SMPTE Meetings and Conferences ( October 2012); SMPTE, 2012. Available at <a href="https://doi.org/10.5594/M001447" target="_blank" rel="noopener">https://doi.org/10.5594/M001447</a></span>

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Eric Carson and Atul Ravindran; Human Perception & Advancements in File-Based QC, SMPTE Meetings and Conferences ( October 2012); SMPTE, 2012
doi: 10.5594/M001447
url: https://doi.org/10.5594/M001447

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Eric Carson and Atul Ravindran; <cite id="bib-10-5594-m001447">Human Perception &amp; Advancements in File-Based QC</cite>, SMPTE Meetings and Conferences ( October 2012); SMPTE, 2012
<span class="doi">10.5594/M001447</span>
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