Liu et al., 2022 - Google Patents
A novel spatiotemporal attention enhanced discriminative network for video salient object detectionLiu et al., 2022
View PDF- Document ID
- 14323783947104498029
- Author
- Liu B
- Mu K
- Xu M
- Wang F
- Feng L
- Publication year
- Publication venue
- Applied Intelligence
External Links
Snippet
In contrast to image salient object detection, on which many achievements have been made, video salient object detection remains a considerable challenge. Not all features are useful in salient object detection, and some even cause interferences. In this paper, we propose a …
- 238000001514 detection method 0 title abstract description 72
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- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
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- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30244—Information retrieval; Database structures therefor; File system structures therefor in image databases
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- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30781—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F17/30784—Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre
- G06F17/30799—Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre using low-level visual features of the video content
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- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
- G06K9/00268—Feature extraction; Face representation
- G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
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