@article{781ced09cd20466b93fb1a5b7c6f0560,
title = "An Efficient Saliency Detection Model Based on Wavelet Generalized Lifting",
abstract = "Saliency detection refers to the segmentation of all visually conspicuous objects from various backgrounds. The purpose is to produce an object-mask that overlaps the salient regions annotated by human vision. In this paper, we propose an efficient bottom-up saliency detection model based on wavelet generalized lifting. It requires no kernels with implicit assumptions and prior knowledge. Multiscale wavelet analysis is performed on broadly tuned color feature channels to include a wide range of spatial-frequency information. A nonlinear wavelet filter bank is designed to emphasize the wavelet coefficients, and then a saliency map is obtained through linear combination of the enhanced wavelet coefficients. This full-resolution saliency map uniformly highlights multiple salient objects of different sizes and shapes. An object-mask is constructed by the adaptive thresholding scheme on the saliency maps. Experimental results show that the proposed model outperforms the existing state-of-the-art competitors on two benchmark datasets.",
keywords = "Saliency detection, generalized lifting, saliency map, visual attention, wavelet",
author = "Xin Zhong and Shih, {Frank Y.}",
note = "Funding Information: B.S. from National Cheng Kung University, Tainan, Taiwan, in 1980, M.S. from State University of New York, Stony Brook, U.S.A., in 1983, and Ph.D. from Purdue Universi- ty, West Lafayette, IN, U.S.A., in 1987. He is presently a professor in the Department of Computer Science, New Jersey Institute of Technology, Newark, New Jersey. He is also the Director of Arti¯cial Intelligence and Computer Vision Laboratory. Dr. Shih held a visiting professor position at Princeton University, Columbia University, National Taiwan University, National Institute of Informatics, Tokyo, Conservatoire National Des Arts Et Metiers, Paris, and Nanjing University of Information Science and Technology, China. He is an internationally renowned scholar and currently serves as the Editor-in-Chief for the International Journal of Pattern Recognition and Arti-¯cial Intelligence. He was the Editor-in-Chief for the International Journal of Multimedia Intelligence and Security. Dr. Shih is on the editorial board of Pattern Recognition, the International Journal of Pattern Recognition and Arti¯cial Intelligence, Journal of Information Hiding and Multimedia Signal Processing, Recent Patents on Engineering, Recent Patents on Computer Science, The Open Nanoscience Journal, the International Journal of Internet Protocol Technology, the Journal of Internet Technology, ISRN Signal Processing, and ISRN Machine Vision. He has served as a steering member, committee member, and session chair for numerous professional conferences and workshops. He has received numerous grants from National Science Foundation, Navy and Air Force, and Industry. He was the recipient of Research Initiation Award of NSF and Board of Overseers Excellence in Research Award of NJIT. Publisher Copyright: {\textcopyright} 2019 World Scientific Publishing Company.",
year = "2019",
month = feb,
day = "1",
doi = "10.1142/S0218001419540065",
language = "English (US)",
volume = "33",
journal = "International Journal of Pattern Recognition and Artificial Intelligence",
issn = "0218-0014",
publisher = "World Scientific Publishing Co. Pte Ltd",
number = "2",
}