DOHNAL, Vlastislav and Alexander MATEČNÝ. Person Tagging in Still Images by Fusing Face and Full-body Detections. In International Conference on Advances in Multimedia (MMEDIA 2014). Neuvedeno: IARIA XPS Press, 2014, p. 118-121. ISBN 978-1-61208-320-9.
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Basic information
Original name Person Tagging in Still Images by Fusing Face and Full-body Detections
Name in Czech Značkování osob ve fotografiích pomocí detektorů obličeje a postav
Authors DOHNAL, Vlastislav (203 Czech Republic, guarantor, belonging to the institution) and Alexander MATEČNÝ (703 Slovakia, belonging to the institution).
Edition Neuvedeno, International Conference on Advances in Multimedia (MMEDIA 2014), p. 118-121, 4 pp. 2014.
Publisher IARIA XPS Press
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
WWW URL
RIV identification code RIV/00216224:14330/14:00073209
Organization unit Faculty of Informatics
ISBN 978-1-61208-320-9
ISSN 2308-4448
Keywords in English multi-modal search;face detection; full-body detection; feature extraction; search engine
Tags DISA
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 23/5/2015 12:04.
Abstract
We address the problem of organizing personal photo albums by assigning tags/names to people present in photographs. Our proposed framework improves similar systems such as Google+ Photos (Picasa) by incorporating not only a face detector but also a full-body detector. Both these modalities are combined together to provide the user with tags of people whose face has not been detected or is not even present in the photograph. An implementation of the proposed framework is evaluated on a sample of real life photographs.
Links
GBP103/12/G084, research and development projectName: Centrum pro multi-modální interpretaci dat velkého rozsahu
Investor: Czech Science Foundation
VG20122015073, research and development projectName: Efektivní vyhledávání v rozsáhlých biometrických datech (Acronym: EFBIO)
Investor: Ministry of the Interior of the CR
PrintDisplayed: 11/6/2024 19:17