ACM Home Page
Please provide us with feedback. Feedback
Exploring user perceptions of digital image similarity
Full text PdfPdf (152 KB)
Source International Conference on Digital Libraries archive
Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries table of contents
Denver, CO, USA
SESSION: Users and interaction track: interacting in media table of contents
Pages: 89 - 90  
Year of Publication: 2005
ISBN:1-58113-876-8
Authors
Unmil P. Karadkar  Texas A&M University, College Station, TX
Richard Furuta  Texas A&M University, College Station, TX
Jeevan Joseph John  Texas A&M University, College Station, TX
Jin-Cheon Na  Nanyang Technological University, Nanyang Link, Singapore
Sponsors
ACM: Association for Computing Machinery
SIGIR: ACM Special Interest Group on Information Retrieval
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 6,   Downloads (12 Months): 38,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1065385.1065404
What is a DOI?

ABSTRACT

The MIDAS project is developing infrastructure and policies for optimal display of digital information on devices with diverse characteristics. In this paper we present the preliminary results of a study that explored the effects of scaling and color-depth variation in digital photographs on user perceptions of similarity. Our results indicate general trends in user preferences and can serve as guidelines for designing policies and systems that display digital images optimally on various information devices.



Collaborative Colleagues:
Unmil P. Karadkar: colleagues
Richard Furuta: colleagues
Jeevan Joseph John: colleagues
Jin-Cheon Na: colleagues