Title :
Browsing images based on social and content similarity
Author :
Tatemura, Junichi
Author_Institution :
Inst. of Ind. Sci., Tokyo Univ., Japan
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;
Conference_Titel :
Multimedia and Expo, 2000. ICME 2000. 2000 IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
0-7803-6536-4
DOI :
10.1109/ICME.2000.871068
