Face-based People Searching in Videos

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Publikace nespadá pod Pedagogickou fakultu, ale pod Fakultu informatiky. Oficiální stránka publikace je na webu muni.cz.
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SEDMIDUBSKÝ Jan BATKO Michal ZEZULA Pavel

Rok publikování 2013
Druh Článek ve sborníku
Konference 35th European Conference on Information Retrieval (ECIR 2013), LNCS 7814
Fakulta / Pracoviště MU

Fakulta informatiky

Citace
Doi http://dx.doi.org/10.1007/978-3-642-36973-5_101
Obor Informatika
Klíčová slova face recognition; video retrieval; similarity search; MPEG-7
Popis 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.
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