Detailed Information on Publication Record
2013
Face-based People Searching in Videos
SEDMIDUBSKÝ, Jan, Michal BATKO and Pavel ZEZULABasic information
Original name
Face-based People Searching in Videos
Authors
SEDMIDUBSKÝ, Jan (203 Czech Republic, guarantor, belonging to the institution), Michal BATKO (203 Czech Republic, belonging to the institution) and Pavel ZEZULA (203 Czech Republic, belonging to the institution)
Edition
Berlin Heidelberg, 35th European Conference on Information Retrieval (ECIR 2013), LNCS 7814, p. 853-856, 4 pp. 2013
Publisher
Springer-Verlag
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Russian Federation
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
printed version "print"
Impact factor
Impact factor: 0.402 in 2005
RIV identification code
RIV/00216224:14330/13:00065975
Organization unit
Faculty of Informatics
ISBN
978-3-642-36972-8
ISSN
Keywords in English
face recognition; video retrieval; similarity search; MPEG-7
Tags
Tags
International impact, Reviewed
Změněno: 24/4/2014 21:46, RNDr. Pavel Šmerk, Ph.D.
Abstract
V originále
We propose a system for retrieving people according to their faces in unannotated video streams. The system processes input videos to extract key-frames on which faces are detected. The detected faces are automatically grouped together to create clusters containing snapshots of the same person. The system also facilitates annotation and manual manipulations with created clusters. On the processed videos the system offers to search for persons in three distinct operations applicable to various scenarios. The system is presented online by indexing five high-quality video streams with the total length of nearly five hours.
Links
| GBP103/12/G084, research and development project |
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