@inproceedings{7ca29358d0a142a4900520e8daa3b281,
title = "A two-stage approach to saliency detection in images",
abstract = "Researches in psychology, perception and related fields show that there may be a two-stage process involved in human vision. In this paper, we propose an approach by following a two-stage framework for saliency detection. In the first stage, we extend an existing spectrum residual model for better locating visual pop-outs, while in the second stage we make use of coherence based propagation for further refinement of the results from the first step. For evaluation of the proposed approach, 300 images with diverse contents were manually and accurately labeled. Experiments show that our approach achieves much better performance than that from the existing state-of-art.",
keywords = "Image analysis, Image processing, Object detection, Pattern recognition",
author = "Zheshen Wang and Baoxin Li",
year = "2008",
month = sep,
day = "16",
doi = "10.1109/ICASSP.2008.4517772",
language = "English (US)",
isbn = "1424414849",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "965--968",
booktitle = "2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP",
note = "2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP ; Conference date: 31-03-2008 Through 04-04-2008",
}