@inproceedings{232bdd20dcf047ae8dbb9f7259fbbe8b,
title = "Perceptual Hashing Based on Salient Region and NMF",
abstract = "We propose a novel perceptual hashing based on salient region and a nonnegative matrix factorization (NMF) in this paper. Firstly, the input image is standardized and processed with low-pass filtering. Secondly, the salient region is extracted from the obtained preprocessed image. The minimum bounding rectangle of each salient region is extracted, and the pixels in all rectangles are rearranged to form a secondary image, then the preprocessed image is decomposed by NMF to obtain the coefficient matrix as the final image hash. The algorithm is robust to general content-preserving manipulations through the experiment. The proposed algorithm outflanks some best in the performances of perceptual robustness and discrimination indicated by identification accuracy performances.",
keywords = "Image hashing, NMF, Salient region",
author = "Xujun Wu and Chen Cui and Shen Wang",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 17th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2021, in conjunction with the 14th International Conference on Frontiers of Information Technology, Applications and Tools, FITAT 2021 ; Conference date: 29-10-2021 Through 31-10-2021",
year = "2022",
doi = "10.1007/978-981-19-1057-9\_12",
language = "英语",
isbn = "9789811910562",
series = "Smart Innovation, Systems and Technologies",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "119--127",
editor = "Shu-Chuan Chu and Shi-Huang Chen and Zhenyu Meng and Ryu, \{Keun Ho\} and Tsihrintzis, \{George A.\}",
booktitle = "Advances in Intelligent Information Hiding and Multimedia Signal Processing - Proceeding of the IIH-MSP 2021 and FITAT 2021",
address = "德国",
}