The indexing and retrieval of document images: a survey
Computer Vision and Image Understanding - Special issue on document image understanding and retrieval
Evaluation of Interest Point Detectors
International Journal of Computer Vision - Special issue on a special section on visual surveillance
Image Mining: Trends and Developments
Journal of Intelligent Information Systems
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Features in Content-based Image Retrieval Systems: a Survey
State-of-the-Art in Content-Based Image and Video Retrieval [Dagstuhl Seminar, 5-10 December 1999]
An Information-Driven Framework for Image Mining
DEXA '01 Proceedings of the 12th International Conference on Database and Expert Systems Applications
Content-based image retrieval: approaches and trends of the new age
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Journal of Mathematical Imaging and Vision
Spatial interest pixels (SIPs): useful low-level features of visual media data
Multimedia Tools and Applications
Spatial Color Indexing: A Novel Approach for Content-Based Image Retrieval
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Image Retrieval Based on 2D Histogram of Interest Points
IAS '09 Proceedings of the 2009 Fifth International Conference on Information Assurance and Security - Volume 01
Pattern retrieval from a cloud of points using geometric concepts
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
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Due to improvements in image acquisition and storage technology, terabyte-sized databases of images are nowadays common. This abundance of data leads us to two basic problems: how to exploit images (image mining)? Or how to make it accessible to human beings (image retrieval)? The specificity of image mining/retrieval among other similar topics (object recognition, machine vision, computer vision, etc.) is precisely that their techniques operate on the whole collection of images, not a single one. Under these circumstances, it is obvious that the time complexity of related algorithms plays an important role. In this paper, we suggest a novel general approach applicable to image mining and retrieval, using only compact geometric structures which can be pre-computed from a database.