Linking Bitstream Information to QoE: A Study on Still Images Using HEVC Intra Coding

The coding tools used in image and video encoders aim at high perceptual quality for low bitrates. Analyzing the results of the encoders in terms of quantization parameter, image partitioning, prediction modes or residuals may provide important insight into the link between those tools and the human...

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Bibliographic Details
Published inAdvances in electrical and electronic engineering Vol. 17; no. 4; pp. 436 - 445
Main Authors Mizdos, Tomas, Barkowsky, Marcus, Uhrina, Miroslav, Pocta, Peter
Format Journal Article
LanguageEnglish
Published Ostrava Faculty of Electrical Engineering and Computer Science VSB - Technical University of Ostrava 01.12.2019
VSB-Technical University of Ostrava
Subjects
Coders
hevc
hevc intra coding parameters
Image coding
Image quality
Machine learning
Parameters
Regression analysis
Support vector machines
Video compression
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Summary:The coding tools used in image and video encoders aim at high perceptual quality for low bitrates. Analyzing the results of the encoders in terms of quantization parameter, image partitioning, prediction modes or residuals may provide important insight into the link between those tools and the human perception. As a first step, this contribution analyzes the possibility to transcode reference images of three well-known image databases, i.e. IRCCyN/IVC, LIVE and TID2013, from their original, older formats to HEVC; thus creating a homogeneous database of 327 HEVC encoded images accompanied with bitstream parameters and values obtained from objective and subjective assessments. Secondly, it analyzes some of the HEVC intra coding parameters regarding their influence on the image quality by using machine learning, namely Support Vector Machine - Regression.
ISSN:1336-1376
1804-3119
DOI:10.15598/aeee.v17i4.3625