Face-based People Searching in Videos
| Authors | |
|---|---|
| Year of publication | 2013 |
| Type | Article in Proceedings |
| Conference | 35th European Conference on Information Retrieval (ECIR 2013), LNCS 7814 |
| MU Faculty or unit | |
| Citation | |
| Doi | http://dx.doi.org/10.1007/978-3-642-36973-5_101 |
| Field | Informatics |
| Keywords | face recognition; video retrieval; similarity search; MPEG-7 |
| Description | 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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