Semi-automatic Semantic Annotation of Images Using Machine Learning Techniques
- 1 January 2003
- book chapter
- Published by Springer Nature
Abstract
No abstract availableKeywords
This publication has 12 references indexed in Scilit:
- CBSA: content-based soft annotation for multimodal image retrieval using bayes point machinesIEEE Transactions on Circuits and Systems for Video Technology, 2003
- Image browsing using hierarchical clusteringPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Graph-theoretic clustering for image grouping and retrievalPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- S-CREAM — Semi-automatic CREAtion of MetadataPublished by Springer Nature ,2002
- MUSE: A Content-Based Image Search and Retrieval System Using Relevance FeedbackMultimedia Tools and Applications, 2002
- Content-Based Image and Video RetrievalPublished by Springer Nature ,2002
- Agents and the Semantic WebIEEE Intelligent Systems, 2001
- Unifying Textual and Visual Cues for Content-Based Image Retrieval on the World Wide WebComputer Vision and Image Understanding, 1999
- Image Retrieval: Current Techniques, Promising Directions, and Open IssuesJournal of Visual Communication and Image Representation, 1999
- Hidden annotation in content based image retrievalPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1997