No reference quality assessment of stereo video based on saliency and sparsity

With the popularity of video technology, stereoscopic video quality assessment (SVQA) has become increasingly important. Existing SVQA methods cannot achieve good performance because the videos' information is not fully utilized. In this paper, we consider various information in the videos toge...

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Bibliographic Details
Main Authors: Jiachen Yang, Chunqi Ji, Bin Jiang, Wen Lu, Qinggang Meng
Format: Default Article
Published: 2018
Subjects:
Other information and computing sciences not elsewhere classified
Stereoscopic video quality assessment
Saliency
Sparse representation
Stacked auto-encoder (SAE)
Sparsity
Information and Computing Sciences not elsewhere classified
Online Access:https://hdl.handle.net/2134/34771
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