DocumentCode
2425403
Title
Using multiple examples for content-based image retrieval
Author
Assfalg, J. ; Del Bimbo, A. ; Pala, P.
Author_Institution
Dipt. di Sistemi e Inf., Florence Univ., Italy
Volume
1
fYear
2000
fDate
2000
Firstpage
335
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
Keywords
content-based retrieval; graphical user interfaces; relevance feedback; visual databases; content based image retrieval; distinguishing image features; example editing; image features; multiple examples; multiple image examples; query specification; query-by-example paradigms; query-by-image; query-by-sketch; single sample image; sketching abilities; Computer vision; Content based retrieval; Image databases; Image retrieval; Indexing; Information retrieval; Prototypes; Shape; Spatial databases; Visual databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia and Expo, 2000. ICME 2000. 2000 IEEE International Conference on
Conference_Location
New York, NY
Print_ISBN
0-7803-6536-4
Type
conf
DOI
10.1109/ICME.2000.869609
Filename
869609
Link To Document