2014
Person Tagging in Still Images by Fusing Face and Full-body Detections
DOHNAL, Vlastislav and Alexander MATEČNÝBasic 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
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"
References:
RIV identification code
RIV/00216224:14330/14:00073209
Organization unit
Faculty of Informatics
ISBN
978-1-61208-320-9
ISSN
Keywords in English
multi-modal search;face detection; full-body detection; feature extraction; search engine
Tags
Tags
International impact, Reviewed
Changed: 23/5/2015 12:04, RNDr. Pavel Šmerk, Ph.D.
Abstract
In the original language
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 project |
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| VG20122015073, research and development project |
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