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Compressed video quality assessment with modified MSE

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publication2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014
PublisherThe Institute of Electrical and Electronics Engineers, Inc.
ISBN (Print)9786163618238
DOIs
Publication statusPublished - 12 Feb 2014
Publication typeA4 Article in a conference publication
Event Asia-pacific signal and information processing association annual summit and conference -
Duration: 1 Jan 1900 → …

Conference

Conference Asia-pacific signal and information processing association annual summit and conference
Period1/01/00 → …

Abstract

A method to adjust the mean-squared-errors (MSE) value for coded video quality assessment is investigated in this work by incorporating subjective human visual experience. First, we propose a linear model between the mean opinioin score (MOS) and a logarithmic function of the MSE value of coded video under a range of coding rates. This model is validated by experimental data. With further simplification, this model contains only one parameter to be determined by video characteristics. Next, we adopt a machine learing method to learn this parameter. Specifically, we select features to classify video content into groups, where videos in each group are more homoegeneous in their characteristics. Then, a proper model parameter can be trained and predicted within each video group. Experimental results on a coded video database are given to demonstrate the effectiveness of the proposed algorithm.

ASJC Scopus subject areas

Publication forum classification

Field of science, Statistics Finland