A Reduced Reference Metric for Enhanced 3D Video Perception

Yıl 2018, Cilt: 2 Sayı: 2, 99 - 103, 31.12.2018

Gökçe Nur Yılmaz

Öz

Currently, one of the trending research topics among the researchers
assisting to the enhancement of the 3D video services relies on the 3
Dimensional (3D) video Quality of Experience (QoE) prediction metric
development process. The researches for this trending topic can be ensured by
characterizing the 3D video related features in the most compatible way as possible
in this process. Considering this fact, a novel Reduced Reference (RR)) 3D
video QoE prediction metric relying on color+depth map 3D video representation
is developed in this study. The developed metric utilizes the incorporation
of  the Significant Information (SI) in
the depth map videos with the Structual Complexity Information (SCI) of their
color counterparts. The abstraction filter and Structural SIMilarity Index
(SSIM) are exploited for the SI and SCI computations, respectively. Performed
subjective experment results are utilized to predict the performance of the
developed metric. Observing highly effective results after the performance
evaluation process, it can be clearly stated that the developed RR metric is
compatible for assisting the advancement of the 3D video services.

Anahtar Kelimeler

3D video, depth level, structural complexity

Kaynakça

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