Extracting relational facts for indexing and retrieval of crime-scene photographs

Author:

Pastra Katerina,Saggion Horacio,Wilks Yorick

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference18 articles.

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2. R. Gaizauskas, K. Humphreys. XI: a simple prolog-based language for cross-classification and inhetotance, In Proceedings of the 7th International Conference in Artificial Intelligence: Methodology, Systems, Applications, Sozopol, Bulgaria, 1996, pp. 86–95.

3. Netural Language Processing in Prolog;Gazdar,1989

4. Natural language retrieval of images based on descriptive captions;Guglielmo;ACM Transactions on Information Systems,1996

5. M. Hepple, Independence and commitment: assumptions for rapid training and execution of rule-based POS taggers, In Proceedings of the 38th Annual Meeting of the Association for Computational Linguistics (ACL-2000), Hong Kong, October 2000.

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1. A Knowledge Enforcement Network-Based Approach for Classifying a Photographer’s Images;International Journal of Pattern Recognition and Artificial Intelligence;2022-12-10

2. Segmentation of Indoor Mapping Point Clouds Applied to Crime Scenes Reconstruction;IEEE Transactions on Information Forensics and Security;2015-07

3. An Automatic Image-Based Modelling Method Applied to Forensic Infography;PLOS ONE;2015-03-20

4. Building Multi-modal Crime Profiles with Growing Self Organising Maps;Studies in Computational Intelligence;2014

5. Summarizing Information Graphics Textually;Computational Linguistics;2012-09

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