NDLI: Macroblock level quality assessment using video-independent classification

Content Provider	IEEE Xplore Digital Library
Author	Shanableh, T. Ishitaq, F.
Copyright Year	2013
Description	Author affiliation: Appl. Res. Center, Motorola Mobility, Chicago, IL, USA (Ishitaq, F.) \|\| Dept. of Comput. Sci. & Eng., American Univ. of Sharjah, Sharjah, United Arab Emirates (Shanableh, T.)
Abstract	In this paper we propose a no-reference objective quality assessment of compressed video at a macroblock level. We propose a video-independent approach to quality assessment of individual macroblocks. Features are extracted from video bit steams and reconstructed videos. The feature variables are validated through the use of stepwise regression. The classification model is generated using a reduced-model polynomial networks and SVMs. For higher accuracy of quality assessment, the paper proposes the use of multinomial logistic regression to report the probabilities with which the macroblock class label is assigned. With the use of six video sequences, the experimental results show that video-independent classification at a macroblock level is permissible with a classification accuracy close to 89%.
Sponsorship	IEEE Jordan Sect.
Starting Page	1
Ending Page	5
File Size	943331
Page Count	5
File Format	PDF
ISBN	9781467350143
e-ISBN	9781467350167
DOI	10.1109/ISMA.2013.6547370
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-04-09
Publisher Place	Jordan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	pattern classification PSNR Accuracy Surveillance Video sequences Feature extraction Video surveillance Polynomials video quality assessment Quality assessment
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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