Unsupervised Video Object Segmentation Using Motion Saliency-Guided Spatio-Temporal Propagation

Yuan-Ting Hu; Jia‐Bin Huang; Alexander G. Schwing

doi:10.1007/978-3-030-01246-5_48

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Unsupervised Video Object Segmentation Using Motion Saliency-Guided Spatio-Temporal Propagation

Yuan-Ting Hu Jia‐Bin Huang Alexander G. Schwing

Year: 2018 Lecture notes in computer science Pages: 813-830 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-01246-5_48

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Keywords:

Computer science Artificial intelligence Segmentation Optical flow Computer vision Pattern recognition (psychology) Motion blur Unsupervised learning Deep learning Object detection Image segmentation Image (mathematics)

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0.97

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Topics

Visual Attention and Saliency Detection

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image and Video Quality Assessment

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Unsupervised Video Object Segmentation Using Motion Saliency-Guided Spatio-Temporal Propagation

Metrics

Citation History

Topics

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