Study of advanced compression tools for stereoscopic video by objective metrics

Polák, Ladislav; Kufa, Jan; Zach, Ondrej; Kaller, Ondrej; Bolecek, Libor; Slanina, Martin; Kron, Tomas

doi:10.1109/radioelek.2016.7477357

Cited by 3 publications

(2 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Our general development of objective models can also be applied to non-3D video types, such as UHD, etc. The results presented in this paper are a continuation of our earlier work published in [8].…”

Section: Introductionsupporting

confidence: 82%

See 1 more Smart Citation

Objective Models for Performance Comparison of Compression Algorithms for 3DTV

Kufa¹,

Kaller²,

Zach³

et al. 2019

RADIOENGINEERING

View full text Add to dashboard Cite

Efficient video compression algorithms in advanced multimedia broadcasting systems are in high demand. In the last decades, different video compression tools have been developed which can influence the final Quality of Experience in different ways. his paper has two goals. The first goal is to present a study of different compression algorithms available for stereoscopic 3D videos. The second goal is to present the possibilities in the creation of new stereoscopic models. The well-established video codecs (AVC, MVC, HEVC and MV-HEVC) are considered as encoders. Generic objective video quality metrics are used to analyze the compression efficiencies of the considered codecs, extended with results from subjective tests. The correlations between the objective and subjective scores are analyzed statistically. Due to unsatisfactory results of generic 2D metrics for the stereoscopic sequences used in the test, new objective models are presented. Such models show improved correlation with subjective stereoscopic video quality. The validation, verification and a description of models are presented in detail.

show abstract

Section: Introductionsupporting

confidence: 82%

“…The MOS has been evaluated together with the 95% confidence interval. A detailed analysis of the results is published in [8].…”

Section: Coding Efficiency According To the Objective Metricsmentioning

confidence: 99%