FacetBrowser: a user interface for complex search tasks
MM '08 Proceedings of the 16th ACM international conference on Multimedia
ViGOR: a grouping oriented interface for search and retrieval in video libraries
Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries
Guidelines for designing graphical authentication mechanism interfaces
International Journal of Information and Computer Security
Enabling Effective User Interactions in Content-Based Image Retrieval
AIRS '09 Proceedings of the 5th Asia Information Retrieval Symposium on Information Retrieval Technology
A multi faceted recommendation approach for explorative video retrieval tasks
Proceedings of the 15th international conference on Intelligent user interfaces
Can an intermediary collection help users search image databases without annotations?
Proceedings of the 10th annual joint conference on Digital libraries
An asynchronous collaborative search system for online video search
Information Processing and Management: an International Journal
Preference based feedback for collaborative image retrieval
Proceedings of the 3rd international workshop on Collaborative information retrieval
Towards annotation of video as part of search
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
An explorative study of interface support for image searching
AMR'05 Proceedings of the Third international conference on Adaptive Multimedia Retrieval: user, context, and feedback
Can a workspace help to overcome the query formulation problem in image retrieval?
ECIR'06 Proceedings of the 28th European conference on Advances in Information Retrieval
COPE: interactive image retrieval using conversational recommendation
BCS-HCI '12 Proceedings of the 26th Annual BCS Interaction Specialist Group Conference on People and Computers
Interactive browsing of image repositories
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
Proceedings of the Symposium on Human-Computer Interaction and Information Retrieval
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The problems of content-based image retrieval (CBIR) systems can be attributed to the semantic gap between the low-level data representation and the high-level concepts the user associates with images, on the one hand, and the time-varying and often vague nature of the underlying information need, on the other. These problems can be addressed by improving the interaction between the user and the system. In this article, we sketch the development of CBIR interfaces and introduce our view on how to solve some of the problems these interfaces present. To address the semantic gap and long-term multifaceted information needs, we propose a “retrieval in context” system, EGO. EGO is a tool for the management of image collections, supporting the user through personalization and adaptation. We will describe how it learns from the user's personal organization, allowing it to recommend relevant images to the user. The recommendation algorithm is described, which is based on relevance feedback techniques. Additionally, we provide results of a performance analysis of the recommendation system and of a preliminary user study. © 2006 Wiley Periodicals, Inc. Int J Int Syst 21: 725–745, 2006.