首页|A Survey of Crime Scene Investigation Image Retrieval Using Deep Learning
A Survey of Crime Scene Investigation Image Retrieval Using Deep Learning
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Crime scene investigation(CSI)image is key evidence carrier during criminal investiga-tion,in which CSI image retrieval can assist the public police to obtain criminal clues.Moreover,with the rapid development of deep learning,data-driven paradigm has become the mainstream method of CSI image feature extraction and representation,and in this process,datasets provide effective support for CSI retrieval performance.However,there is a lack of systematic research on CSI image retrieval methods and datasets.Therefore,we present an overview of the existing works about one-class and multi-class CSI image retrieval based on deep learning.According to the research,based on their technical functionalities and implementation methods,CSI image retrieval is roughly classified into five categories:feature representation,metric learning,generative adversar-ial networks,autoencoder networks and attention networks.Furthermore,We analyzed the remain-ing challenges and discussed future work directions in this field.
crime scene investigation(CSI)imageimage retrievaldeep learning
Ying Liu、Aodong Zhou、Jize Xue、Zhijie Xu
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Xi'an Uni-versity of Posts and Telecommunications(XUPT),Xi'an 710121,China
University of Huddersfield,Huddersfield HD1 3DH,UK
National Natural Science Foundation of ChinaSpecial Scientific Research Plan Project of Shaanxi Provincial Department of Education
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