A Visual Ontology Query Language to Bridge the Semantic Gap in Content-based 183Image Retrieval.
D. N. F. Awang IskandarPublished in: Int. J. Web Appl. (2009)
Keyphrases
- bridge the semantic gap
- relevance feedback
- query language
- low level visual features
- visual features
- semantic gap
- image retrieval
- semantic information
- visual information
- low level features
- data model
- latent semantics
- high level
- information retrieval systems
- image database
- domain knowledge
- visual content
- cbir systems
- image annotation
- keywords
- image content
- image collections
- video retrieval
- information retrieval
- multimedia
- automatic image annotation
- textual information
- knowledge base
- multimedia data
- image data
- video clips
- image search
- video sequences
- metadata
- databases
- wordnet
- semantically meaningful
- search engine
- image classification