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@inproceedings{1079705,
author = {Sedmidubský, Jan and Batko, Michal and Zezula, Pavel},
address = {Berlin Heidelberg},
booktitle = {35th European Conference on Information Retrieval (ECIR 2013), LNCS 7814},
doi = {http://dx.doi.org/10.1007/978-3-642-36973-5_101},
editor = {P. Serdyukov et al.},
keywords = {face recognition; video retrieval; similarity search; MPEG-7},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Berlin Heidelberg},
isbn = {978-3-642-36972-8},
pages = {853-856},
publisher = {Springer-Verlag},
title = {Face-based People Searching in Videos},
year = {2013}
}
TY - JOUR
ID - 1079705
AU - Sedmidubský, Jan - Batko, Michal - Zezula, Pavel
PY - 2013
TI - Face-based People Searching in Videos
PB - Springer-Verlag
CY - Berlin Heidelberg
SN - 9783642369728
KW - face recognition
KW - video retrieval
KW - similarity search
KW - MPEG-7
N2 - 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.
ER -
SEDMIDUBSKÝ, Jan, Michal BATKO a Pavel ZEZULA. Face-based People Searching in Videos. In P. Serdyukov et al. \textit{35th European Conference on Information Retrieval (ECIR 2013), LNCS 7814}. Berlin Heidelberg: Springer-Verlag, 2013, s.~853-856. ISBN~978-3-642-36972-8. Dostupné z: https://dx.doi.org/10.1007/978-3-642-36973-5\_{}101.
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