Name-It: Association of Face and Name in Video
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
RoleNet: treat a movie as a small society
Proceedings of the international workshop on Workshop on multimedia information retrieval
Naming faces in broadcast news video by image google
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Video collage: presenting a video sequence using a single image
The Visual Computer: International Journal of Computer Graphics
Character identification in feature-length films using global face-name matching
IEEE Transactions on Multimedia
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
Home Video Visual Quality Assessment With Spatiotemporal Factors
IEEE Transactions on Circuits and Systems for Video Technology
Modeling social strength in social media community via kernel-based learning
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Near-lossless semantic video summarization and its applications to video analysis
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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Discovering roles and their relationship is critical in movie content analysis. However, most conventional approaches ignore the correlations among roles or require rich metadata such as casts and scripts, which makes them not practical when little metadata is available, especially in the scenarios of IPTV and VOD systems. To solve this problem, we propose a new method to discover key roles and their relationship by treating a movie as a small community. We first segment a movie into a hierarchical structure (including scene, shot, and key-frame), and perform face detection and grouping on the detected key-frames. Based on such information, we then create a community by exploiting the key roles and their correlations in this movie. The discovered community provides a wide variety of applications. In particular, we present in this paper the automatic generation of video poster (with four different visualizations) based on the community, as well as preliminary experimental results.