DocumentCode
420232
Title
Collection understanding [visualization tools in information retrieval]
Author
Chang, Michelle ; Leggett, John J. ; Furuta, Richard ; Kerne, Andruid ; Williams, J. Patrick ; Burns, Samuel A. ; Bias, Randolph G.
Author_Institution
Dept. of Comput. Sci., Texas A&M Univ., College Station, TX, USA
fYear
2004
fDate
7-11 June 2004
Firstpage
334
Lastpage
342
Abstract
Collection understanding shifts the traditional focus of retrieval in large collections from locating specific artifacts to gaining a comprehensive view of the collection. Visualization tools are critical to the process of efficient collection understanding. By presenting simple visual interfaces and intuitive methods of interacting with a collection, users come to understand the essence of the collection by focusing on the artifacts. We discuss a practical approach for enhancing collection understanding in image collections.
Keywords
Internet; data visualisation; digital libraries; graphical user interfaces; information filters; information retrieval; online front-ends; visual databases; ambient slideshow; image collection understanding enhancement; image visualization tools; information retrieval; intuitive methods; specific artifact locating; streaming collage; variably gridded thumbnails; visual interfaces; Computer science; Displays; Focusing; Graphical user interfaces; Information retrieval; Navigation; Permission; Software libraries; User interfaces; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Libraries, 2004. Proceedings of the 2004 Joint ACM/IEEE Conference on
Print_ISBN
1-58113-832-6
Type
conf
DOI
10.1109/JCDL.2004.1336144
Filename
1336144
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