@inproceedings{b810bfba29c94505bc2dd713075ae699,
title = "A saliency detection approach to combine LSK and color for color image",
abstract = "Visual saliency plays an important role in biological vision. This paper proposes a novel feature-based approach of visual saliency detection for natural color images. The saliency for each pixel is determined by two features: the structure information and the color information, which represent local information of pixels. The structure information is represented by local steering kernel and the color information is represented by color values of local region around each pixel. We compare our method with the current state-of-the-art models on natural color images. Experiments on human visual fixation data and psychological patterns demonstrate that our method performs competitively for visual saliency detection task.",
keywords = "local color feature, local steering kernel (LSK), saliency detection, visual attention",
author = "Xin He and Huiyun Jing and Qi Han and Xiamu Niu",
year = "2011",
doi = "10.1109/IIHMSP.2011.77",
language = "英语",
isbn = "9780769545172",
series = "Proceedings - 7th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2011",
pages = "129--132",
booktitle = "Proceedings - 7th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2011",
note = "7th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2011 ; Conference date: 14-10-2011 Through 16-10-2011",
}