Extracting Relational Facts for Indexing and Retrieval of Crime-Scene Photographs

TitleExtracting Relational Facts for Indexing and Retrieval of Crime-Scene Photographs
Publication TypeJournal Papers
Year of Publication2003
AuthorsPastra, K, Saggion, H, Wilks, Y
JournalKnowledge-Based Systems
Volume16
Pagination313–320
Abstract

This paper presents work on text-based photograph indexing and retrieval for crime investigation, an application domain where efficient querying of large crime-scene photograph databases is of crucial importance. Automating this task will change current police practices considerably, by bringing {\textquoteright}intelligence{\textquoteright} to crime support information systems. The prototype presented, goes beyond common approaches to the automation of image indexing and retrieval, by applying a novel method that captures deep semantic relations expressed in the captions that accompany crime-scene photographs. The extraction of these semantic triples is based on advanced knowledge-based Natural Language Processing technologies and resources.

URLhttp://www.csri.gr/files/publications/BSAI02-pastra.pdf