- Title
- Multi-feature fusion for Crime Scene Investigation image retrieval
- Creator
- Liu, Ying; Hu, Dan; Fan, Jiulun; Wang, Fuping; Zhang, Dengsheng
- Date
- 2017
- Type
- Text; Conference proceedings
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/165149
- Identifier
- vital:13238
- Identifier
-
https://doi.org/10.1109/DICTA.2017.8227466
- Identifier
- ISBN:978-1-5386-2839-3
- 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.
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Relation
- 2017 International Conference on Digital Image Computing : Techniques and Applications (DICTA); Sydney, Australia; 29th November-1st December 2017 p. 865-871
- Rights
- Copyright © 2017 IEEE.
- Rights
- This metadata is freely available under a CCO license
- Subject
- Multi-feature fusion; Image retrieval/classification; Crime scene investigation
- Reviewed
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