Human Activity Recognition Using Multidimensional Indexing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computational Media Aesthetics: Finding Meaning Beautiful
IEEE MultiMedia
Meeting Human Needs with New Digital Imaging Technologies
IEEE MultiMedia
A Database Approach for Modeling and Querying Video Data
IEEE Transactions on Knowledge and Data Engineering
An Object-Oriented Conceptual Modeling of Video Data
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
A multi-level abstraction and modeling in video databases
Multimedia Systems - Special section on video libraries
Automatic Parsing of TV Soccer Programs
ICMCS '95 Proceedings of the International Conference on Multimedia Computing and Systems
SEMI-AUTOMATED ANNOTATION AND RETRIEVAL OF DANCE MEDIA OBJECTS
Cybernetics and Systems
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Due to the high complexity and exponential growth of videos, video data management tasks, such as understanding and annotating semantic content, are very difficult to be accomplished. Dance videos are one such critical domain. Considering the various dance components, understanding their semantic content conceptually, extracting the expressive semantics, annotating them properly and storing the annotations in a suitable medium for future reuse and analysis, are the essential tasks for the next generation dance systems. This paper presents a conceptual multimedia data model based on Protocol Analysis, called Video Semantics Directed Acyclic Graph (VSDAG) model. The expressive semantic content, represented by VSDAG model, is extracted from the video by a unique video annotation system. The generated annotations are stored in a XML compliant structure.