Face Image Retrieval Revisited
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F15%3A00080525" target="_blank" >RIV/00216224:14330/15:00080525 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-25087-8_19" target="_blank" >http://dx.doi.org/10.1007/978-3-319-25087-8_19</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-25087-8_19" target="_blank" >10.1007/978-3-319-25087-8_19</a>
Alternative languages
Result language
angličtina
Original language name
Face Image Retrieval Revisited
Original language description
The objective of face retrieval is to efficiently search an image database with detected faces and identify such faces that belong to the same person as a query face. Unlike most related papers, we concentrate on both retrieval effectiveness and efficiency. High retrieval effectiveness is achieved by proposing a new fusion approach which integrates existing state-of-the-art detection as well as matching methods. We further significantly improve a retrieval quality by employing the concept of multi-face queries along with optional relevance feedback. To be able to efficiently process queries on databases with millions of faces, we apply a specialized indexing algorithm. The proposed solutions are compared against four existing open-source and commercial technologies and experimentally evaluated on the standardized FERET dataset and on a real-life dataset of more than one million face images.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/VG20122015073" target="_blank" >VG20122015073: Efficient Searching in Large Biometric Data</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of 8th International Conference on Similarity Search and Applications (SISAP 2015), LNCS 9371
ISBN
9783319250861
ISSN
0302-9743
e-ISSN
—
Number of pages
13
Pages from-to
204-216
Publisher name
Springer
Place of publication
Switzerland
Event location
Glasgow, Scotland, UK
Event date
—
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—