Content-Based Video Indexing and Retrieval
IEEE MultiMedia
A feature-based algorithm for detecting and classifying scene breaks
Proceedings of the third ACM international conference on Multimedia
Communications of the ACM
Constructing table-of-content for videos
Multimedia Systems - Special section on video libraries
Narrative abstraction model for story-oriented video
Proceedings of the 12th annual ACM international conference on Multimedia
A framework for aligning and indexing movies with their script
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Detection and application of influence rankings in small group meetings
Proceedings of the 8th international conference on Multimodal interfaces
Using audio and video features to classify the most dominant person in a group meeting
Proceedings of the 15th international conference on Multimedia
Video summarisation: A conceptual framework and survey of the state of the art
Journal of Visual Communication and Image Representation
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Semantic event representation and recognition using syntactic attribute graph grammar
Pattern Recognition Letters
Movie/Script: Alignment and Parsing of Video and Text Transcription
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part IV
Automatic soccer players tracking in goal scenes by camera motion elimination
Image and Vision Computing
Personal content management system: A semantic approach
Journal of Visual Communication and Image Representation
Extracting story units from long programs for video browsing and navigation
ICMCS '96 Proceedings of the 1996 International Conference on Multimedia Computing and Systems
Taking the bite out of automated naming of characters in TV video
Image and Vision Computing
Character-Net: Character Network Analysis from Video
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
RoleNet: movie analysis from the perspective of social networks
IEEE Transactions on Multimedia - Special issue on integration of context and content
IEEE Transactions on Consumer Electronics
Emotion-based character clustering for managing story-based contents: a cinemetric analysis
Multimedia Tools and Applications
Movie browsing system based on character and emotion
Multimedia Tools and Applications
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There have been various approaches to analyzing movie stories using social networks. Social network analysis is an effective means to extract semantic information from movies. Movie analysis through social relationships among characters can support various types of information retrieval better than audio-visual feature analysis. The relationships among characters form the main structure of the story. Therefore, through social network analysis among characters, movie story information such as the major roles and the corresponding communities can be determined. Progression of most movie stories is done by characters, and the scriptwriter or director narrates the story and relationships among characters using character dialogs. A dialog has a direction and time that supplies information. Therefore, the dialog is better for constructing social networks of characters than the co-appearance. Additionally, through social networks using the dialog, we can extract accurate movie stories such as classification of major, minor or extra roles, community clustering, and sequence detection. To achieve this, we propose a Character-net that can represent the relationships between characters using dialogs, and a method that can extract the sequences via clustering communities composed of characters. Our experiments show that our proposed method can efficiently detect sequences.