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Proceedings Paper

Similarity evaluation in image retrieval using simple features
Author(s): Eugenio Di Sciascio; Augusto Celentano
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Paper Abstract

The development of increasingly complex multimedia applications calls for new methodologies for the organization and retrieval of still images and video sequences. Query and retrieval methods based on image content promise good results, are currently widely investigated and, to some extent, already commercially available. Yet a large number of issues remain unsolved. In this paper we describe some results of a study on similarity evaluation in image retrieval using color, object orientation and relative position as content features. A simple prototype system is also introduced that computes the feature descriptors and performs queries. Although not trivial, the features extraction process is completely automated and requires no user intervention. The system is admittedly not a general purpose tool, but is oriented to thematic image repositories where the semantics of stored images are limited to a specific domain.

Paper Details

Date Published: 15 January 1997
PDF: 11 pages
Proc. SPIE 3022, Storage and Retrieval for Image and Video Databases V, (15 January 1997); doi: 10.1117/12.263436
Show Author Affiliations
Eugenio Di Sciascio, Politecnico di Bari (Italy)
Augusto Celentano, Univ. Ca' Foscari di Venezia (Italy)


Published in SPIE Proceedings Vol. 3022:
Storage and Retrieval for Image and Video Databases V
Ishwar K. Sethi; Ramesh C. Jain, Editor(s)

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