VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Supporting similarity queries in MARS
MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
NeTra: a toolbox for navigating large image databases
Multimedia Systems - Special issue on video content based retrieval
Finding salient regions in images: nonparametric clustering for image segmentation and grouping
Computer Vision and Image Understanding - Special issue on content-based access for image and video libraries
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
IEEE Transactions on Pattern Analysis and Machine Intelligence
Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying
IEEE Transactions on Pattern Analysis and Machine Intelligence
Data Management in Location-Dependent Information Services
IEEE Pervasive Computing
Overview of the MPEG-7 standard and of future challenges for visual information analysis
EURASIP Journal on Applied Signal Processing - Image analysis for multimedia interactive services - part I
A personalised information retrieval tool
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Metadata creation system for mobile images
Proceedings of the 2nd international conference on Mobile systems, applications, and services
Exploring Human Eye Behaviour using a Model of Visual Attention
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Eye Tracking as a New Interface for Image Retrieval
BT Technology Journal
IEEE Transactions on Image Processing
Relevance feedback: a power tool for interactive content-based image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
Intelligent Spaces — The Vision, the Opportunities and the Barriers
BT Technology Journal
Robust subspace analysis for detecting visual attention regions in images
Proceedings of the 13th annual ACM international conference on Multimedia
Using visual attention to extract regions of interest in the context of image retrieval
Proceedings of the 44th annual Southeast regional conference
An attention-driven model for grouping similar images with image retrieval applications
EURASIP Journal on Applied Signal Processing
Detection of visual attention regions in images using robust subspace analysis
Journal of Visual Communication and Image Representation
Automatic image tagging based on regions of interest
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part I
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Mark Weiser's vision that ubiquitous computing will overcome the problem of information overload by embedding computation in the environment is on the verge of becoming a reality. Nevertheless today's technology is now capable of handling many different forms of multimedia that pervade our lives and as a result is creating a healthy demand for new content management and retrieval services. This demand is everywhere; it is coming from the mobile videophone owners, the digital camera owners, the entertainment industry, medicine, surveillance, the military, and virtually every library and museum in the world where multimedia assets are lying unknown, unseen and unused.The volume of visual data in the world is increasing exponentially through the use of digital camcorders and cameras in the mass market. These are the modern day consumer equivalents of ubiquitous computers, and, although storage space is in plentiful supply, access and retrieval remain a severe bottle-neck both for the home user and for industry. This paper describes an approach, which makes use of a visual attention model together with a similarity measure, to automatically identify salient visual material and generate searchable metadata that associates related items in a database. Such a system for content classification and access will be of great use in current and future pervasive environments where static and mobile content retrieval of visual imagery is required.