Title :
Image retrieval by positive and negative examples
Author :
Assfalg, J. ; Bimbo, A. Del ; Pala, P.
Author_Institution :
Dipt. di Sistemi e Inf., Florence Univ., Italy
Abstract :
Systems for content based image retrieval typically support access to database images through the query-by-example paradigm. This includes query-by-image and query-by-sketch. Since query-by-sketch can be difficult in some cases-lack of sketching abilities, difficulty to detect distinguishing image features-generally querying is performed through the query-by-image paradigm. A limiting factor of this paradigm is that a single sample image rarely includes all and only the characterizing elements the user is looking for. In this paper a system is presented that supports query-by-image using multiple image examples. Examples can be positive and negative and can be edited in order to disregard irrelevant image features
Keywords :
content-based retrieval; graphical user interfaces; image retrieval; content based image retrieval; database images; image features; query-by-example paradigm; query-by-image; query-by-sketch; Computer vision; Content based retrieval; Image databases; Image retrieval; Indexing; Information retrieval; Prototypes; Shape; Spatial databases; Visual databases;
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7695-0750-6
DOI :
10.1109/ICPR.2000.902910