NDLI: A no-reference video quality assessment based on Laplacian pyramids

Content Provider	IEEE Xplore Digital Library
Author	Kongfeng Zhu Hirakawa, K. Asari, V. Saupe, D.
Copyright Year	2013
Description	Author affiliation: Dept. of Comput. & Inf. Sci., Univ. of Konstanz, Konstanz, Germany (Kongfeng Zhu; Saupe, D.) \|\| Dept. of Electr. & Comput. Eng., Univ. of Dayton, Dayton, OH, USA (Hirakawa, K.; Asari, V.)
Abstract	This paper presents an approach to predict the quality of compressed videos with content of natural scenes. The method is focused on measuring the distortion of compressed video without reference. There are two main steps of the proposed method: measuring distortion and predicting video quality. Each frame of the distorted video sequence is first decomposed to an N-subband Laplacian pyramid, then their intra-subband and inter-subband statistical features are fully exploited. Three intra-subband features and three inter-subband features are taken as inputs of the prediction model. Its output is a single score as the predicted video quality. The performance of the proposed method is evaluated on the LIVE video database and the LIVE mobile video database. Results show that the predicted quality scores are well correlated with the mean opinion scores associated to the subjective assessment.
Starting Page	49
Ending Page	53
File Size	1686506
Page Count	5
File Format	PDF
ISBN	9781479923410
DOI	10.1109/ICIP.2013.6738011
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-15
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Quality assessment Video recording Laplace equations Databases Image coding Feature extraction Video sequences Laplacian pyramid Image/video quality assessment no-reference natural scenes
Content Type	Text
Resource Type	Article

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