Elements of information theory
Elements of information theory
International Journal of Computer Vision
Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Filter Image Browsing: Interactive Image Retrieval by Using Database Overviews
Multimedia Tools and Applications
Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying
IEEE Transactions on Pattern Analysis and Machine Intelligence
Integrated Browsing and Querying for Image Databases
IEEE MultiMedia
Perceptual metrics for image database navigation
Perceptual metrics for image database navigation
Hierarchical browsing and search of large image databases
IEEE Transactions on Image Processing
Searching satellite imagery with integrated measures
Pattern Recognition
Editorial: Interactive imaging and vision-Ideas, algorithms and applications
Pattern Recognition
Browsing an image database utilizing the associations between images and features
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A novel image retrieval model based on the most relevant features
Knowledge-Based Systems
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In this work, we are interested in technologies that will allow users to actively browse and navigate large image databases and to retrieve images through interactive fast browsing and navigation. The development of a browsing/navigation-based image retrieval system has at least two challenges. The first is that the system's graphical user interface (GUI) should intuitively reflect the distribution of the images in the database in order to provide the users with a mental picture of the database content and a sense of orientation during the course of browsing/navigation. The second is that it has to be fast and responsive, and be able to respond to users actions at an interactive speed in order to engage the users. We have developed a method that attempts to address these challenges of a browsing/navigation based image retrieval systems. The unique feature of the method is that we take an integrated approach to the design of the browsing/navigation GUI and the indexing and organization of the images in the database. The GUI is tightly coupled with the algorithms that run in the background. The visual cues of the GUI are logically linked with various parts of the repository (image clusters of various particular visual themes) thus providing intuitive correspondences between the GUI and the database contents. In the backend, the images are organized into a binary tree data structure using a sequential maximal information coding algorithm and each image is indexed by an n-bit binary index thus making response to users' action very fast. We present experimental results to demonstrate the usefulness of our method both as a pre-filtering tool and for developing browsing/navigation systems for fast image retrieval from large image databases.