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TUTCRIS

Compressed video quality assessment with modified MSE

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
Otsikko2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014
KustantajaThe Institute of Electrical and Electronics Engineers, Inc.
ISBN (painettu)9786163618238
DOI - pysyväislinkit
TilaJulkaistu - 12 helmikuuta 2014
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE -
Kesto: 1 tammikuuta 1900 → …

Conference

ConferenceASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE
Ajanjakso1/01/00 → …

Tiivistelmä

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.

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