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Proceedings Paper

Computational efficient models for quality assessment of compressed video
Author(s): Radim Javurek
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Paper Abstract

Two models for objective assessment of compressed video quality and results from subjective and objective tests of several low bit-rate video coders are introduced in this paper. First model is based on mathematical measures that describe perception of video distortion by human eye. Second model for quality evaluation is based on human visual system (HVS) characteristics. Obtained quality values from both models have been compared with subjective results. Both models are computationally efficient and produce results that are correlated with subjective results.

Paper Details

Date Published: 6 December 2006
PDF: 6 pages
Proc. SPIE 5944, Smart Imagers and Their Application, 59440C (6 December 2006); doi: 10.1117/12.637913
Show Author Affiliations
Radim Javurek, Czech Technical Univ. in Prague (Czech Republic)

Published in SPIE Proceedings Vol. 5944:
Smart Imagers and Their Application
Alexander L. Stempkovsky; Victor A. Shilin, Editor(s)

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