Naming every individual in news video monologues
Proceedings of the 12th annual ACM international conference on Multimedia
Multiple instance learning for labeling faces in broadcasting news video
Proceedings of the 13th annual ACM international conference on Multimedia
Character identification in feature-length films using global face-name matching
IEEE Transactions on Multimedia
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Computing communities in large networks using random walks
ISCIS'05 Proceedings of the 20th international conference on Computer and Information Sciences
Face Recognition from Caption-Based Supervision
International Journal of Computer Vision
| Hi-index | 0.00 |
Associating celebrity faces appearing in videos with their names is of increasingly importance with the popularity of both celebrity videos and related queries. However, the problem is not yet seriously studied in Web video domain. This paper proposes a Community connected Celebrity Name-Face Association approach (C-CNFA), where the community is regarded as an intermediate connector to facilitate the association. Specifically, with the names and faces extracted from Web videos, C-CNFA decomposes the association task into a three-step framework: community discovering, community matching and celebrity face tagging. To achieve the goal of efficient name-face association under this umbrella, algorithms such as the constrained density-based clustering and exemplar based voting are developed by leveraging different pieces of visual and contextual cues. The evaluation on 0.4 million faces and 144 celebrities shows the effectiveness of the proposed C-CNFA approach. Moreover, using the obtained associations, encouraging results are reported in celebrity video ranking.