Stereoscopic video quality assessment based on 3D convolutional neural networks

Jiachen Yang; Yinghao Zhu; Chaofan Ma; Wen Lu; Qinggang Meng

doi:10.1016/j.neucom.2018.04.072

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JOURNAL ARTICLE

Stereoscopic video quality assessment based on 3D convolutional neural networks

Jiachen Yang Yinghao Zhu Chaofan Ma Wen Lu Qinggang Meng

Year: 2018 Journal: Neurocomputing Vol: 309 Pages: 83-93 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2018.04.072

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Keywords:

Computer science Convolutional neural network Artificial intelligence Preprocessor Stereoscopy Video quality Distortion (music) Margin (machine learning) Pattern recognition (psychology) Convolution (computer science) Support vector machine Computer vision Property (philosophy) Artificial neural network Machine learning

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2.60

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0.90

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Is in top 1%

Is in top 10%

Citation History

Topics

Image and Video Quality Assessment

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Visual Attention and Saliency Detection

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Stereoscopic video quality assessment based on 3D convolutional neural networks

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Citation History

Topics

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