Query specification for content based image retrieval is typically accomplished through query-by-example paradigms, such as query-by-image and query-by-sketch. In some cases query-by-sketch can be difficult because of lack of sketching abilities, difficulty to detect distinguishing image features. Therefore, querying is performed through the query-by-image paradigm. However, this paradigm often fails since a single sample image rarely includes all and only the characterizing elements the user is looking for. The paper presents a system that supports query-by-image using multiple image examples, both positive and negative. The system also enables editing of examples so as to disregard those image features that are not relevant to the query.
Using multiple examples for content-based image retrieval / J. Assfalg; A. Del Bimbo; P. Pala. - STAMPA. - (2000), pp. 335-338. (Intervento presentato al convegno IEEE Int. Conf. on Multimedia and Expo tenutosi a New York).
Using multiple examples for content-based image retrieval
ASSFALG, JURGEN;DEL BIMBO, ALBERTO;PALA, PIETRO
2000
Abstract
Query specification for content based image retrieval is typically accomplished through query-by-example paradigms, such as query-by-image and query-by-sketch. In some cases query-by-sketch can be difficult because of lack of sketching abilities, difficulty to detect distinguishing image features. Therefore, querying is performed through the query-by-image paradigm. However, this paradigm often fails since a single sample image rarely includes all and only the characterizing elements the user is looking for. The paper presents a system that supports query-by-image using multiple image examples, both positive and negative. The system also enables editing of examples so as to disregard those image features that are not relevant to the query.I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.