DocumentCode
2449654
Title
Browsing images based on social and content similarity
Author
Tatemura, Junichi
Author_Institution
Inst. of Ind. Sci., Tokyo Univ., Japan
Volume
3
fYear
2000
fDate
2000
Firstpage
1567
Abstract
We propose an information visualization technique that uses social and content features complementarily and helps users explore a database for images. Items in the database are laid out in a 2D map according to content similarity. The social filter dynamically shows the relationship between items in the map based on social similarity. We demonstrate an example of visualization applied to our Web graphics recommender system
Keywords
content-based retrieval; data visualisation; human factors; information resources; visual databases; 2D map; World Wide Web graphics recommender system; content similarity; image browsing; image database exploration; information visualization technique; social filter; social similarity; user tastes; Content based retrieval; Filtering; Filters; Graphics; Image databases; Scattering; Shape; Spatial databases; Visual databases; Visualization;
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.2000.871068
Filename
871068
Link To Document