Narrowing the semantic-gap using multi-modal ontology for semantic image retrieval

R. I. Minu; K. K. Thyagharajan

doi:10.2495/cta20140761

ScienceGate Book Chapters

JOURNAL ARTICLE

Narrowing the semantic-gap using multi-modal ontology for semantic image retrieval

R. I. Minu K. K. Thyagharajan

Year: 2014 Journal: WIT transactions on information and communication technologies Publisher: WIT Press

DOI: 10.2495/cta20140761

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Ontology Modal Semantic gap Information retrieval Artificial intelligence Natural language processing Image retrieval Image (mathematics) Materials science

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.15

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Semantic Web and Ontologies

Physical Sciences → Computer Science → Artificial Intelligence

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Biomedical Text Mining and Ontologies

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Narrowing the semantic-gap using multi-modal ontology for semantic image retrieval

Metrics

Topics

Related Documents

Narrowing the semantic-gap using multi-modal ontology for semantic image retrieval

MULTI MODAL ONTOLOGY SEARCH FOR SEMANTIC IMAGE RETRIEVAL

Narrowing Semantic Gap in Content-based Image Retrieval

Fuzzy Ontology Based Multi-Modal Semantic Information Retrieval

Multi modal semantic indexing for image retrieval