Visual Saliency Detection via Hypergraph based Re-ranking using Background Priors
- Title
- Visual Saliency Detection via Hypergraph based Re-ranking using Background Priors
- Author
- 이동호
- Issue Date
- 2015-01
- Publisher
- ACM
- Citation
- Proceedings of the 9th International Conference on Ubiquitous Information Management and Communication, article no. 62, Page. 1-4
- Abstract
- Salient object detection is a powerful tool to be applied to many computer vision tasks such as object recognition, image segmentation and scene understanding. We formulate salient object detection as a hypergraph based ranking problem which ranks the similarity of the image elements with foreground or background cues. In addition, we introduce an adaptive background prior to prevent suppression of salient objects touching image boundary. We can improve the results of saliency detection by using the adaptive background priors. Experimental results on three public image dataset demonstrate that our method performs better than the state-of-the-art saliency detection methods.
- URI
- https://dl.acm.org/doi/abs/10.1145/2701126.2701134?https://repository.hanyang.ac.kr/handle/20.500.11754/186045
- DOI
- 10.1145/2701126.2701134
- Appears in Collections:
- ETC[S] > ETC
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