Conceptual structures and computational methods for indexing and organization of visual information
Conceptual structures and computational methods for indexing and organization of visual information
Structure analysis of soccer video with domain knowledge and hidden Markov models
Pattern Recognition Letters - Video computing
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ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Classification of user image descriptions
International Journal of Human-Computer Studies
BUILDING A SMART MEETING ROOM: FROM INFRASTRUCTURE TO THE VIDEO GAP (RESEARCH AND OPEN ISSUES)
ICDEW '05 Proceedings of the 21st International Conference on Data Engineering Workshops
Visual trigger templates for knowledge-based indexing
PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
The MPEG-7 Multimedia Database System (MPEG-7 MMDB)
Journal of Systems and Software
Introducing specialization and generalization to a graph-based data model
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part IV
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In this position paper I propose a conceptual model for multimedia that consists of physical (from layout to cameras), conceptual (e.g., meeting types, actors), sensory (audio-visual capture), and content (syntax and semantics) components. I argue that solving the multimedia content analysis problem requires a model such as the one presented, that includes the interrelationships between sensors, physical space, conceptual structure, and content, with context as the underlying foundation that determines the parameters of the components as well as their interrelationships. This model should constitute a starting point in considering the different components that affect multimedia content production and analysis.