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Visual saliency detection using local patches contrast
- Source :
- SPIE Proceedings.
- Publication Year :
- 2017
- Publisher :
- SPIE, 2017.
-
Abstract
- Human vision system possesses a strong ability to interpret complex scenes in real time effortlessly and efficiently. However, computational modeling of basic intelligent behavior still remains a significant challenge in the fields of computer vision system. Different from context-aware saliency algorithm, our method for saliency detection, not only using basic properties of visual attention but also introducing local patches contrast cues, thus it can effectively improve the accuracy of visual saliency detection with relatively low computational complexity. Furthermore, the experimental results also indicate that the effectiveness of our proposed method.
- Subjects :
- Computational complexity theory
Computer science
Machine vision
business.industry
media_common.quotation_subject
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
020206 networking & telecommunications
02 engineering and technology
0202 electrical engineering, electronic engineering, information engineering
Visual attention
Contrast (vision)
020201 artificial intelligence & image processing
Computer vision
Artificial intelligence
business
media_common
Visual saliency
Subjects
Details
- ISSN :
- 0277786X
- Database :
- OpenAIRE
- Journal :
- SPIE Proceedings
- Accession number :
- edsair.doi...........5f822cb0560dba991ea9c5fea60e5ca7
- Full Text :
- https://doi.org/10.1117/12.2282092