The cortex transform: rapid computation of simulated neural images
Computer Vision, Graphics, and Image Processing
Algorithms for clustering data
Algorithms for clustering data
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Photobook: content-based manipulation of image databases
International Journal of Computer Vision
VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Visual Image Retrieval by Elastic Matching of User Sketches
IEEE Transactions on Pattern Analysis and Machine Intelligence
Information storage and retrieval
Information storage and retrieval
Color and spatial feature for content-based image retrieval
Pattern Recognition Letters
Multimedia access and retrieval (panel session): the state of the art and future directions
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
Learning primitive and scene semantics of images for classification and retrieval
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 2)
A scheme of colour image retrieval from databases
Pattern Recognition Letters
Numerical Recipes in C: The Art of Scientific Computing
Numerical Recipes in C: The Art of Scientific Computing
A New Framework to Assess Association Rules
IDA '01 Proceedings of the 4th International Conference on Advances in Intelligent Data Analysis
Image Representational Model for Predicting Visual Distinctness of Objects
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
PicToSeek: combining color and shape invariant features for image retrieval
IEEE Transactions on Image Processing
Qualitative evaluation of automatic assignment of keywords to images
Information Processing and Management: an International Journal - Special issue: Formal methods for information retrieval
Retrieving images in fuzzy object-relational databases using dominant color descriptors
Fuzzy Sets and Systems
Qualitative evaluation of automatic assignment of keywords to images
Information Processing and Management: an International Journal - Special issue: Formal methods for information retrieval
FQAS'11 Proceedings of the 9th international conference on Flexible Query Answering Systems
Efficient visual attention based framework for extracting key frames from videos
Image Communication
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In this paper we combine computer vision and data mining techniques to model high-level concepts for image retrieval, on the basis of basic perceptual features of the human visual system. High-level concepts related to these features are learned and represented by means of a set of fuzzy association rules. The concepts so acquired can be used for image retrieval with the advantage that it is not needed to provide an image as a query. Instead, a query is formulated by using the labels that identify the learned concepts as search terms, and the retrieval process calculates the relevance of an image to the query by an inference mechanism. An additional feature of our methodology is that it can capture user's subjectivity. For that purpose, fuzzy sets theory is employed to measure user's assessments about the fulfillment of a concept by an image.