An efficient method for face retrieval from large video datasets

The human face is one of the most important objects in videos since it provides rich information for spotting certain people of interest, such as government leaders in news video, or the hero in a movie, and is the basis for interpreting facts. Therefore, detecting and recognizing faces appearing in video are essential tasks of many video indexing and retrieval applications. Due to large variations in pose changes, illumination conditions, occlusions, hairstyles, and facial expressions, robust face matching has been a challenging problem. In addition, when the number of faces in the dataset is huge, e.g. tens of millions of faces, a scalable method for matching is needed. To this end, we propose an efficient method for face retrieval in large video datasets. In order to make the face retrieval robust, the faces of the same person appearing in individual shots are grouped into a single face track by using a reliable tracking method. The retrieval is done by computing the similarity bet...

• Type: Conference
• Year: 2010
• Where: CIVR
• Authors: Thao Ngoc Nguyen, Thanh Duc Ngo, Duy-Dinh Le, Shin'ichi Satoh, Bac Hoai Le, Duc Anh Duong
• Keywords: CIVR 2010, Face Retrieval, Face Track, Image Analysis, Representative Face