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@inproceedings{1305715,
author = {Sedmidubský, Jan and Míč, Vladimír and Zezula, Pavel},
address = {Switzerland},
booktitle = {Proceedings of 8th International Conference on Similarity Search and Applications (SISAP 2015), LNCS 9371},
doi = {http://dx.doi.org/10.1007/978-3-319-25087-8_19},
editor = {G. Amato et al.},
keywords = {face retrieval; face detection; effectiveness; efficiency; face matcher fusion},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Switzerland},
isbn = {978-3-319-25086-1},
pages = {204-216},
publisher = {Springer},
title = {Face Image Retrieval Revisited},
year = {2015}
}
TY - JOUR
ID - 1305715
AU - Sedmidubský, Jan - Míč, Vladimír - Zezula, Pavel
PY - 2015
TI - Face Image Retrieval Revisited
PB - Springer
CY - Switzerland
SN - 9783319250861
KW - face retrieval
KW - face detection
KW - effectiveness
KW - efficiency
KW - face matcher fusion
N2 - 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. The retrieval results demonstrate a significant gain in effectiveness and two-orders of magnitude more efficient query processing, with respect to a single technology executed sequentially.
ER -
SEDMIDUBSKÝ, Jan, Vladimír MÍČ and Pavel ZEZULA. Face Image Retrieval Revisited. In G. Amato et al. \textit{Proceedings of 8th International Conference on Similarity Search and Applications (SISAP 2015), LNCS 9371}. Switzerland: Springer, 2015, p.~204-216. ISBN~978-3-319-25086-1. Available from: https://dx.doi.org/10.1007/978-3-319-25087-8\_{}19.
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