Cable Technology Feature Article
April 15, 2009
Video Clarity to Demo ClearView Video Analysis Solution
By Vivek Naik, TMCnet Contributor
Video Clarity has announced that it will be demonstrating its latest review tool, “ClearView” – which includes Differential Mean Option Score and Multi Scale Structural SIMilarity to perform in-depth, quantitative and qualitative video analysis – at the upcoming National Association of Broadcasting Show. The clearView solution epitomizes the show’s punch line that proclaims, “Where content comes to life.”
“Video Clarity (News - Alert) continually enhances our product lines and develops cutting-edge tools to service the research community,” said Bill Reckwerdt, CTO of Video Clarity. “In cooperation with the University of Texas, we have implemented MS-SSIM and ported it to the Differential Mean Opinion Score scale using the LIVE database. With this release, ClearView supports the ITU recommended practice for scaling objective video quality measurements.”
ClearView plays and records High Definition signals for the brightness and color components that are collectively known as YUV, and the Red Green Blue color model, imports compressed and uncompressed files, auto rectifies successive video sequences for comprehensive data collection and review, alerts transmission delays and any mouth movement and diction disconnect that is also known as lip syncing errors.
The solution also provides signals for operator and field engineer review, and analyzes mission critical metrics such as DMOS that the International Telecommunication Union’s recommends under ITU-T P.911, Just Noticeable Differences, and Peak Signal to Noise Ratio.
The solution has integrated SSIM that reckons the Human Visual System has an advanced level of adjustability to choose, filter and pick structural information from a scene. The University of Texas had amply demonstrated that elementary implementation of SSIM yields significantly better results than perceptual image quality metrics when accurately measured and correlated with relevant data.
Once UT clarified this theory, it then eliminated individual SSIM measurement and introduced the Multi Scale SSIM method by combining results of the same image at different resolutions and extracting the mean solution. The end result with such metrics is that service providers are able to filter and beam significantly improved video streams and the end customer only gets the best results on display.
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Vivek Naik is a contributing editor for TMCnet. To read more of Vivek's articles, please visit his columnist page.
Edited by Michael Dinan