LineIT: Similarity Search and Recommendation Tool for Photo Lineup Assembling
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10396469" target="_blank" >RIV/00216208:11320/19:10396469 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-030-27684-3_25" target="_blank" >https://doi.org/10.1007/978-3-030-27684-3_25</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-27684-3_25" target="_blank" >10.1007/978-3-030-27684-3_25</a>
Alternative languages
Result language
angličtina
Original language name
LineIT: Similarity Search and Recommendation Tool for Photo Lineup Assembling
Original language description
In this paper we focus on the problem of assembling unbiased photo lineups. Photo lineups are an important method in the identification process for the prosecution and possible conviction of suspects. Incorrect lineup assemblies have led to the false identification and conviction of innocent persons. One of the significant errors which can occur is the lack of lineup fairness, i.e., that the suspect significantly differs from other candidates. Despite the importance of the task, few tools are available to assist police technicians in creating lineups. Furthermore, these tools mostly focus on fair lineup administration and provide only a little support in the candidate selection process. In our work, we first summarize key personalization and information retrieval (IR) challenges of such systems and propose an IR/Personalization model that addresses them. Afterwards, we describe a LineIT tool that instantiate this model and aims to support police technicians in assembling unbiased lineups.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GJ19-22071Y" target="_blank" >GJ19-22071Y: Flexible models for known-item search in large video collections</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Database and Expert Systems Applications
ISBN
978-3-030-27684-3
ISSN
1865-0929
e-ISSN
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Number of pages
11
Pages from-to
199-209
Publisher name
Springer International Publishing
Place of publication
Cham
Event location
Linz, Austria
Event date
Aug 26, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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