Top-level ontological categories
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
Communications of the ACM
Crossing the Divide Between Computer Vision and Databases in Search of Image Databases
VDB4 Proceedings of the IFIP TC2/WG 2.6 Fourth Working Conference on Visual Database Systems 4
Image Data Modeling for Efficient Content Indexing
IW-MMDBMS '95 Proceedings of the International Workshop on Multi-Media Database Management Systems
Image attributes: an investigation
Image attributes: an investigation
Information Retrieval
Ontology-Based Photo Annotation
IEEE Intelligent Systems
An Architectural Paradigm for Collaborative Semantic Indexing of Multimedia Data Objects
VISUAL '08 Proceedings of the 10th international conference on Visual Information Systems: Web-Based Visual Information Search and Management
Collective Evolutionary Indexing of Multimedia Objects
ICCSA '09 Proceedings of the International Conference on Computational Science and Its Applications: Part I
Multimedia data mining and searching through dynamic index evolution
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
Feature extraction and XML representation of plant leaf for image retrieval
APWeb'06 Proceedings of the 2006 international conference on Advanced Web and Network Technologies, and Applications
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Keyword search of multimedia collections lacks precision and automatic parsing of unrestricted natural language annotations lacks accuracy. We propose a structure for natural language descriptions of the semantic content of visual materials that requires descriptions to be (modified) keywords, phrases, or simple sentences, with components that are grammatical relations common to many languages. This structure makes it easy to implement a collection's descriptions as a relational database, enabling efficient search via the application of well-developed database-indexing methods. Description components may be elements from external resources (thesaurus, ontology, database, or knowledge base). This provides a rich superstructure for the meaningful retrieval of images by their semantic contents.