Visual database systems are continuously enriched by original and processed images derived from the original using editing techniques. This last type of image (called duplicate) represents a relevant quote of unnecessary stored images and, moreover a clear case of image similarity. In this paper a comparative evaluation between image retrieval methods in the specific case of duplicate search is proposed. All methods are based on low-level features extraction, such as colors, shape and patterns, and are suitable in automatic systems. The performance comparison is made in terms of effectiveness using a database of 6368 natural pictures and 12 test sets of 18 images each
A Comparative Evaluation of Retrieval Methods for Duplicate Search in Image Database / Di Lecce, V.; Guerriero, A.. - In: JOURNAL OF VISUAL LANGUAGES AND COMPUTING. - ISSN 1045-926X. - STAMPA. - 12:1(2001), pp. 105-120. [10.1006/jvlc.1999.0154]
A Comparative Evaluation of Retrieval Methods for Duplicate Search in Image Database
Di Lecce, V.;Guerriero, A.
2001-01-01
Abstract
Visual database systems are continuously enriched by original and processed images derived from the original using editing techniques. This last type of image (called duplicate) represents a relevant quote of unnecessary stored images and, moreover a clear case of image similarity. In this paper a comparative evaluation between image retrieval methods in the specific case of duplicate search is proposed. All methods are based on low-level features extraction, such as colors, shape and patterns, and are suitable in automatic systems. The performance comparison is made in terms of effectiveness using a database of 6368 natural pictures and 12 test sets of 18 images eachI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
