Using information scent to model user information needs and actions and the Web
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
PicASHOW: pictorial authority search by hyperlinks on the web
ACM Transactions on Information Systems (TOIS)
Modern Information Retrieval
How do people manage their digital photographs?
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Automatic browsing of large pictures on mobile devices
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Geographic location tags on digital images
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Automated annotation of human faces in family albums
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Contrast-based image attention analysis by using fuzzy growing
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Learning to cluster web search results
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Effective browsing of web image search results
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Grouping web image search result
Proceedings of the 12th annual ACM international conference on Multimedia
Searching the web with mobile images for location recognition
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
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With the Internet information explosion as well as the rapid increasing of mobile users, web image search and browsing on mobile devices will become a big application in foreseeable future. Since mobile devices generally suffer from limited resources, like small screen factor and interaction facilities, etc, the interface provided by current image search engine is not suitable for search results navigation on mobile devices. In this paper, we propose a new method to increase user's experience on search results browsing and navigation. By clustering result images based on visual and semantic cues, user can catch the overview of the search results with only a few clicks; by using an optimal layout algorithm, the summary of each cluster can be presented on small screen with maximum scaling ratio; by employing the smart thumbnail of the presentation image, more information can be shown to users on limited screen. The navigation operations are designed to make the new interface easy to learn and simple to use. Experiment results demonstrate the effectiveness of the new presentation method.