Using consistency-driven pairwise comparisons in knowledge-based systems
CIKM '97 Proceedings of the sixth international conference on Information and knowledge management
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Performance evaluation and optimization for content-based image retrieval
Pattern Recognition
Web search engine multimedia functionality
Information Processing and Management: an International Journal
On Saaty's and Koczkodaj's inconsistencies of pairwise comparison matrices
Journal of Global Optimization
Classifying visual objects with the consistency-driven pairwise comparisons method
Machine Graphics & Vision International Journal
The Pascal Visual Object Classes (VOC) Challenge
International Journal of Computer Vision
A new definition of consistency of pairwise comparisons
Mathematical and Computer Modelling: An International Journal
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Finding a way to elicit user preferences in the context of multimedia information retrieval is an important issue that remains to be solved. Users are not usually able to find a sought after image or provide an example of what they want. One of several possible methods that might be used to solve this problem involves reasoning about user queries through the assessment of several samples. In this article we propose a method by which user queries are retrieved based on the pairwise comparison of sample alternatives. Pairwise comparison was originally designed for the ranking of alternatives. In our method we rank criteria according to their importance for the user and then use this information to retrieve relevant records from the database. The method was implemented in Matlab and tested on the Microsoft Research Cambridge Image Database.