LineIT: Similarity Search and Recommendation Tool for Photo Lineup Assembling

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

LineIT: Similarity Search and Recommendation Tool for Photo Lineup Assembling

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

LineIT: Similarity Search and Recommendation Tool for Photo Lineup Assembling

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/GJ19-22071Y" target="_blank" >GJ19-22071Y: Flexibilní modely pro hledání známé scény v rozsáhlých kolekcích videa</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Database and Expert Systems Applications

ISBN

978-3-030-27684-3

ISSN

1865-0929

e-ISSN

—

Počet stran výsledku

11

Strana od-do

199-209

Název nakladatele

Springer International Publishing

Místo vydání

Cham

Místo konání akce

Linz, Austria

Datum konání akce

26. 8. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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