Photobook: content-based manipulation of image databases
International Journal of Computer Vision
Visual information retrieval
A relevance feedback mechanism for content-based image retrieval
Information Processing and Management: an International Journal
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Spatial Size Distributions: Applications to Shape and Texture Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Three-Dimensional Interfaces for Querying by Example in Content-Based Image Retrieval
IEEE Transactions on Visualization and Computer Graphics
MindReader: Querying Databases Through Multiple Examples
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Morphological Image Analysis: Principles and Applications
Morphological Image Analysis: Principles and Applications
Region-based image retrieval using integrated color, shape, and location index
Computer Vision and Image Understanding - Special issue on color for image indexing and retrieval
The PicToSeek WWW Image Search System
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
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
Applying logistic regression to relevance feedback in image retrieval systems
Pattern Recognition
A relevance feedback CBIR algorithm based on fuzzy sets
Image Communication
Combining similarity measures in content-based image retrieval
Pattern Recognition Letters
Context-aware system for proactive personalized service based on context history
Expert Systems with Applications: An International Journal
Speed up interactive image retrieval
The VLDB Journal — The International Journal on Very Large Data Bases
Interactive Image Retrieval in a Fuzzy Framework
WILF '09 Proceedings of the 8th International Workshop on Fuzzy Logic and Applications
An interactive evolutionary approach for content based image retrieval
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Image retrieval using fuzzy relevance feedback and validation with MPEG-7 content descriptors
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
Relevance feedback based on genetic programming for image retrieval
Pattern Recognition Letters
CLEF'09 Proceedings of the 10th international conference on Cross-language evaluation forum: multimedia experiments
An improved distance-based relevance feedback strategy for image retrieval
Image and Vision Computing
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This paper presents a new algorithm for image retrieval in content-based image retrieval systems. The objective of these systems is to get the images which are as similar as possible to a user query from those contained in the global image database without using textual annotations attached to the images. The main problem in obtaining a robust and effective retrieval is the gap between the low level descriptors that can be automatically extracted from the images and the user intention. The algorithm proposed here to address this problem is based on the modeling of user preferences as a probability distribution on the image space. Following a Bayesian methodology, this distribution is the prior distribution and its parameters are modified based on the information provided by the user. This yields the a posteriori from which the predictive distribution is calculated and used to show to the user a new set of images until he/she is satisfied or the target image has been found. Experimental results are shown to evaluate the method on a large image database in terms of precision and recall.