Detecting Faces in Images: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face recognition: component-based versus global approaches
Computer Vision and Image Understanding - Special issue on Face recognition
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
Robust Real-Time Face Detection
International Journal of Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
A Graph Based Approach for Naming Faces in News Photos
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Automatic detection of player's identity in soccer videos using faces and text cues
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Adaptive uncertainty estimation for particle filter-based trackers
ICIAP '07 Proceedings of the 14th International Conference on Image Analysis and Processing
Person spotting: video shot retrieval for face sets
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
Rich metadata and context capturing through CIDOC/CRM and MPEG-7 interoperability
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
An efficient near-duplicate video shot detection method using shot-based interest points
IEEE Transactions on Multimedia
Interesting faces: A graph-based approach for finding people in news
Pattern Recognition
Multimedia Tools and Applications
Identification and tracking of players in sport videos
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
SportSense: using motion queries to find scenes in sports videos
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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Semantic detection and recognition of objects and events contained in a video stream has to be performed in order to provide content-based annotation and retrieval of videos. This annotation is done as a means to be able to reuse the video material at a later stage, e.g. to produce new TV programmes. A typical example is that of sports videos, where videos are annotated in order to reuse the video clips that show key highlights and players to produce short summaries for news and sports programmes. In order to select the most interesting actions among all the possibly detected highlights further analysis is required; i.e. the shots that contain a key action are typically followed by close-ups of the players that take part in the action. Therefore the automatic identification of these players would add considerable value both to the annotation and retrieval of the key highlights and key players of a sport event. The problem of detecting and recognizing faces in broadcast videos is a widely studied topic. However, in the case of soccer videos, and sports videos in general, the current techniques are not suitable for the task of face recognition, due to the high variations in pose, illumination, scale and occlusion that may happen in an uncontrolled environment. In this paper a method that copes with these problems, exploiting local features to describe a face, without requiring a precise localization of the distinguishing parts of a face, and the set of poses to describe a person and perform a more robust recognition, is presented. A similarity metric based on the number of matched interest points, able to cope with different face sizes, is also presented and experimentally validated.