Index-based object recognition in pictorial data management
Computer Vision, Graphics, and Image Processing
A pictorial index mechanism for model-based matching
Data & Knowledge Engineering
HDM—a model-based approach to hypertext application design
ACM Transactions on Information Systems (TOIS)
Local association based recognition of two-dimensional objects
Machine Vision and Applications
MORE: Multimedia Object Retrieval Environment
HYPERTEXT '93 Proceedings of the fifth ACM conference on Hypertext
Media-based navigation for hypermedia systems
HYPERTEXT '93 Proceedings of the fifth ACM conference on Hypertext
The Dexter hypertext reference model
Communications of the ACM
The Amsterdam hypermedia model: adding time and context to the Dexter model
Communications of the ACM
Multimedia Information Systems
IEEE MultiMedia
An Annotation Engine for Supporting Video Database Population
Multimedia Tools and Applications
Spatial Color Indexing Using Rotation, Translation, and Scale Invariant Anglograms
Multimedia Tools and Applications
Semantic Abstractions in the Multimedia Domain
IEEE Transactions on Knowledge and Data Engineering
Augmenting navigation for collaborative tagging with emergent semantics
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
Hi-index | 0.00 |
Interacting with a multimedia information system is different from interacting with a standard text-based information system. In this paper, we present the design of a system called Content-Based Hypermedia (CBH), which allows a user to utilize metadata to intelligently browse through a collection of media objects. We describe the approach we use to model data in order to make it browsable, explore our approach to browsing, which we call metadata mediated browsing, indicate how metadata is used in the concept of similarity, present the architecture of our system, and discuss indexing techniques for similarity browsing using content-based metadata and approaches to clustering which generate higher-level metadata to help the user browse more effectively.