@inproceedings{9012998ebcfc449d8e227cd114212107,
title = "Saliency-based region log covariance feature for image copy detection",
abstract = "This paper introduces a novel global feature-based image copy detection approach. Firstly, Space-based and Object-based saliency detection methods are combined to generate salient region represented by an ellipse. Then the covariance matrix of various image features extracted from the elliptically salient region is formed and log covariance matrix is applied on the covariance matrix for low computational complexity. 28 independent numbers from log covariance matrix are regarded as the region feature vector, the similarity of which can be measured by L2 norm. The experimental results show that our proposed approach achieves similar or better performance than GIST and log covariance matrix based SCOV for image copy detection.",
keywords = "Global feature, Image copy detection, Log covariance matrix, Saliency detection",
author = "Xin He and Huiyun Jing and Qi Han and Xiamu Niu",
year = "2013",
doi = "10.1007/978-3-642-40099-5\_27",
language = "英语",
isbn = "9783642400988",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "327--335",
booktitle = "Digital Forensics and Watermaking - 11th International Workshop, IWDW 2012, Revised Selected Papers",
note = "11th International Workshop on Digital Forensics and Watermaking, IWDW 2012 ; Conference date: 31-10-2012 Through 03-11-2012",
}