Predicting the visibility of dynamic DCT distortions in natural videos

Jeremy P. Evert; Md Mushfiqul Alam; Damon M. Chandler

doi:10.1117/12.2188460

22 September 2015 Predicting the visibility of dynamic DCT distortions in natural videos

Jeremy P. Evert, Md Mushfiqul Alam, Damon M. Chandler

Proceedings Volume 9599, Applications of Digital Image Processing XXXVIII; 959910 (2015) https://doi.org/10.1117/12.2188460
Event: SPIE Optical Engineering + Applications, 2015, San Diego, California, United States

Abstract

Compression has enabled years of exponential growth in global video consumption, providing video everywhere, with few perceptible artifacts. Automated Video Quality Assessment (VQA) is an enabler of compression. We present data showing video contrast affects on artifact visibility. Based on our data, we propose a contrast-gain-control VQA algorithm, with target spatiotemporal property weighting, and using our data to tune existing VQA algorithms for improved artifact threshold predictions. This paper provides much needed data on natural video mask contrast and artifact visibility, and provides important insights for how VQA algorithms can be improved to better predict video quality in the high-quality regime.

Citation Download Citation

Jeremy P. Evert, Md Mushfiqul Alam, and Damon M. Chandler "Predicting the visibility of dynamic DCT distortions in natural videos", Proc. SPIE 9599, Applications of Digital Image Processing XXXVIII, 959910 (22 September 2015); https://doi.org/10.1117/12.2188460

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available