Browse and Search Patterns in a Digital Image Database

Authors:
C. Olivia Frost;Bradley Taylor;Anna Noakes;Stephen Markel;Deborah Torres;Karen M. Drabenstott
Affiliations:
University of Michigan, School of Information, Ann Arbor, MI, 48109, USA. cfrost@umich.edu;University of Michigan, School of Information, Ann Arbor, MI, 48109, USA;University of Michigan, School of Information, Ann Arbor, MI, 48109, USA;University of Michigan, School of Information, Ann Arbor, MI, 48109, USA;University of Michigan, School of Information, Ann Arbor, MI, 48109, USA;University of Michigan, School of Information, Ann Arbor, MI, 48109, USA
Venue:
Information Retrieval
Year:
2000

Citing 5
Cited 7

Picture retrieval by content description

Journal of Information Science
Selected aspects of image processing and management: review and future prospects

Journal of Information Science
Some issues in the indexing of images

Journal of the American Society for Information Science
Visual information management

Communications of the ACM
Content-Based Image Retrieval Systems

Computer

Matching words and pictures

The Journal of Machine Learning Research
Automatic image annotation and retrieval using weighted feature selection

Multimedia Tools and Applications
IGroup: presenting web image search results in semantic clusters

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Generic Multimedia Database Architecture Based upon Semantic Libraries

Informatica
The Case of the Disappearing Ox: Seeing Through Digital Images to an Analysis of Ancient Texts

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Effect of topic domain and task type on web image searching

Proceedings of the 22nd Conference of the Computer-Human Interaction Special Interest Group of Australia on Computer-Human Interaction
Semantic hierarchies for image annotation: A survey

Pattern Recognition

Quantified Score

Hi-index	0.00

Visualization

Abstract

A prototype image retrieval system with browse and searchcapabilities was developed to investigate patterns of searching acollection of digital visual images, as well as factors, such asimage size, resolution, and download speed, which affect browsing.The subject populations were art history specialists andnon-specialists. Through focus group interviews, a controlled test,post-test interviews and an online survey, data was gathered tocompare preferences and actual patterns of use in browsing andsearching. While specialists preferred direct search to browsing, andgeneralists used browsing as their preferred mode, both user groupsfound each mode to play a role depending on information need, andfound value in a system combining both browse and direct search.There were no significant differences in performance among the searchmodes of browse, search, and combined browse/search models when thequasi-controlled study tested the different modes.