Information organization in multimedia resources
SIGDOC '93 Proceedings of the 11th annual international conference on Systems documentation
Data mining of multidimensional remotely sensed images
CIKM '93 Proceedings of the second international conference on Information and knowledge management
Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
The SR-tree: an index structure for high-dimensional nearest neighbor queries
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Automating the analysis and cataloging of sky surveys
Advances in knowledge discovery and data mining
Surfimage: a flexible content-based image retrieval system
MULTIMEDIA '98 Proceedings of the sixth ACM international conference on Multimedia
Mining lesion-deficit associations in a brain image database
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
ACM Computing Surveys (CSUR)
Indexing the edges—a simple and yet efficient approach to high-dimensional indexing
PODS '00 Proceedings of the nineteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Image mining in IRIS: integrated retinal information system
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Intelligent mining in image databases, with applications to satellite imaging and to web search
Data mining and computational intelligence
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
R-trees: a dynamic index structure for spatial searching
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
The TV-tree: an index structure for high-dimensional data
The VLDB Journal — The International Journal on Very Large Data Bases - Spatial Database Systems
System for Screening Objectionable Images Using Daubechies' Wavelets and Color Histograms
IDMS '97 Proceedings of the 4th International Workshop on Interactive Distributed Multimedia Systems and Telecommunication Services
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
The X-tree: An Index Structure for High-Dimensional Data
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
CASCON '98 Proceedings of the 1998 conference of the Centre for Advanced Studies on Collaborative research
Discovering Association Rules Based on Image Content
ADL '99 Proceedings of the IEEE Forum on Research and Technology Advances in Digital Libraries
ACQ: An Automatic Clustering and Querying Approach for Large Image Databases
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
Image classification for content-based indexing
IEEE Transactions on Image Processing
IEEE Transactions on Neural Networks
Clustering web images using association rules, interestingness measures, and hypergraph partitions
ICWE '06 Proceedings of the 6th international conference on Web engineering
Knowledge discovery in multimedia repositories: the role of metadata
MMACTE'05 Proceedings of the 7th WSEAS International Conference on Mathematical Methods and Computational Techniques In Electrical Engineering
A Similarity Retrieval Method in Brain Image Sequence Database
ADMA '07 Proceedings of the 3rd international conference on Advanced Data Mining and Applications
Mining Lung Shape from X-Ray Images
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
Image Classification Approach Based on Manifold Learning in Web Image Mining
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
Mining image sequence similarity patterns in brain images
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
ICDM'10 Proceedings of the 10th industrial conference on Advances in data mining: applications and theoretical aspects
Multimedia data mining: state of the art and challenges
Multimedia Tools and Applications
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
Mining frequent spatial patterns in image databases
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Medical image clustering with domain knowledge constraint
WAIM'05 Proceedings of the 6th international conference on Advances in Web-Age Information Management
Estimating the risk of fire outbreaks in the natural environment
Data Mining and Knowledge Discovery
An approach to mining picture objects based on textual cues
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
Mining interesting association rules in medical images
ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications
Data mining techniques for the screening of age-related macular degeneration
Knowledge-Based Systems
A geometric data structure applicable to image mining and retrieval
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part I
Development of neuro-fuzzy system for image mining
WILF'05 Proceedings of the 6th international conference on Fuzzy Logic and Applications
An Improved Brain Image Classification Technique with Mining and Shape Prior Segmentation Procedure
Journal of Medical Systems
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Advances in image acquisition and storage technology have led to tremendous growth in very large and detailed image databases. These images, if analyzed, can reveal useful information to the human users. Image mining deals with the extraction of implicit knowledge, image data relationship, or other patterns not explicitly stored in the images. Image mining is more than just an extension of data mining to image domain. It is an interdisciplinary endeavor that draws upon expertise in computer vision, image processing, image retrieval, data mining, machine learning, database, and artificial intelligence. In this paper, we will examine the research issues in image mining, current developments in image mining, particularly, image mining frameworks, state-of-the-art techniques and systems. We will also identify some future research directions for image mining.