Panoramic Video Quality Assessment Based on Spatial-Temporal Convolutional Neural Networks

Tingting An; Songlin Sun; Rui Liu

doi:10.1007/978-981-19-3387-5_161

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Panoramic Video Quality Assessment Based on Spatial-Temporal Convolutional Neural Networks

Tingting An Songlin Sun Rui Liu

Year: 2022 Lecture notes in electrical engineering Pages: 1348-1356 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-19-3387-5_161

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Keywords:

Convolutional neural network Computer science Artificial intelligence Standardization Feature extraction Artificial neural network Deep learning Pattern recognition (psychology) Feature (linguistics) Video quality Computer vision Machine learning Engineering

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Topics

Image and Video Quality Assessment

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image Fusion Techniques

Physical Sciences → Engineering → Media Technology

Visual Attention and Saliency Detection

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Panoramic Video Quality Assessment Based on Spatial-Temporal Convolutional Neural Networks

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Topics

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