DocumentCode
2936370
Title
Similarity-Based Visualization for Image Browsing Revisited
Author
Schoeffmann, Klaus ; Ahlström, David
Author_Institution
Inst. of Inf. Technol., Alpen-Adria-Univ. Klagenfurt, Klagenfurt, Austria
fYear
2011
fDate
5-7 Dec. 2011
Firstpage
422
Lastpage
427
Abstract
We investigate whether users´ visual search performance in a commonly used grid-like arrangement of images (i.e., a storyboard) can be improved by using a similarity-based sorting of images. We propose a simple but efficient algorithm for sorting image based on their color similarity. The algorithm generates an intuitive arrangement of images and allows for general application with several different layouts (e.g., storyboard, simple row/column, 3D globe/cylinder). In difference to previous work, which rarely present results from user studies, we perform a fair user study and compare an interface with color sorted images to an interface with images positioned in a random order. Both interfaces use exactly the same screen estate and interaction means. Results show that users are 20% faster with the sorted interface.
Keywords
data visualisation; image colour analysis; sorting; color similarity; grid-like arrangement; image browsing; image sorting; similarity-based sorting; similarity-based visualization; visual search performance; Computers; Error analysis; Image color analysis; Layout; Sorting; Three dimensional displays; Visualization; image browsing; image sorting; user study; visual search; visual similarity;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia (ISM), 2011 IEEE International Symposium on
Conference_Location
Dana Point CA
Print_ISBN
978-1-4577-2015-4
Type
conf
DOI
10.1109/ISM.2011.76
Filename
6123383
Link To Document