Multi-Feature Fusion for Crime Scene Investigation Image Retrieval

Ying Liu,Jiulun Fan,Dengsheng Zhang,Fuping Wang,Dan Hu

doi:10.1109/dicta.2017.8227466

Multi-Feature Fusion for Crime Scene Investigation Image Retrieval

Ying Liu, Jiulun Fan + Show 3 more

https://doi.org/10.1109/dicta.2017.8227466

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Publication Date: Nov 1, 2017

Citations: 23

Affiliation: Ministry of Public Security of the People's Republic of China, Xi’an University of Posts and Telecommunications, Federation University

#Crime Scene Investigation #Effective Image Retrieval System + Show 8 more

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Abstract

Based on a large scale crime scene investigation (CSI) image database, an effective and efficient CSI image retrieval system has been proposed to empower the investigative work of the police force. The main contribution of this paper includes: (1) a DCT domain texture feature extraction algorithm is proposed for CSI images, which is shown to be simple and effective. (2) the use of GIST descriptor on CSI images for the first time and combined with color histogram and the DCT domain texture feature as a fused feature, which describes CSI images from different aspects including color, texture, and scene content. Experimental results prove that the proposed method is effective for CSI image retrieval.

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