Document - Enriching image feature description supporting effective content-based retrieval and annotation

2014

Conference article Open Access

Enriching image feature description supporting effective content-based retrieval and annotation

Debole F, Gennaro C, Savino P

Information Storage and Retrieval Pattern Recognition Similarity Search Content Based Image Retrieval

The paper describes a technique that supports efficient and effective Content-Based Image Retrieval (CBIR) in very large image archives as well as automatic image tagging. The proposed technique uses a unified representation for image visual features and for image textual descriptions. Images are clustered according to their image visual features while textual content is used to associate relevant tags to images belonging to the same cluster. The system supports image retrieval based on image query similarity, on textual queries, and on mixed mode queries composed of an image and a textual part and automatic image tagging.

Publisher: IEEE Communications Society

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BibTeX entry

@inproceedings{oai:it.cnr:prodotti:343515,
	title = {Enriching image feature description supporting effective content-based retrieval and annotation},
	author = {Debole F and Gennaro C and Savino P},
	publisher = {IEEE Communications Society},
	year = {2014}
}