Detection of visual saliency in Discrete Cosine Transform domain
- Title
- Detection of visual saliency in Discrete Cosine Transform domain
- Author
- 문영식
- Keywords
- Visualization; DCT coefficients; Spectral entropy; Visual saliency model; Visual saliency; Frequency domains; Saliency map; Discrete cosine transforms; Compressed images; Conventional methods; Consumer electronics
- Issue Date
- 2012-01
- Citation
- Digest of Technical Papers - IEEE International Conference on Consumer Electronics, article no. 6161773, Page. 128-129
- Abstract
- In this paper, a novel visual saliency model for detecting visual saliency from compressed images is proposed. To this end, we use a measure of camera focus on DCT (Discrete Cosine Transform) frequency domain. In order to effectively detect visual saliency, the proposed method calculates Bayes spectral entropy of DCT coefficients. Consequently, three focus maps are calculated from Y, Cb, and Cr channel images. By combining these focus maps, a saliency map is constructed. In experimental results, the proposed method shows better performance of visual saliency detection, compared with conventional methods. © 2012 IEEE.
- URI
- https://ieeexplore.ieee.org/document/6161773/https://repository.hanyang.ac.kr/handle/20.500.11754/185577
- ISSN
- 0747-668X
- DOI
- 10.1109/ICCE.2012.6161773
- Appears in Collections:
- COLLEGE OF COMPUTING[E](소프트웨어융합대학) > COMPUTER SCIENCE(소프트웨어학부) > Articles
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