Conference Proceedings

Improved texture features for CBIR using response scaling and locally normalised convolution

N Mohammed, DMG Squire

Proceedings - International Workshop on Content-Based Multimedia Indexing | Published : 2013


Independent Component Filters have been shown to be more effective for collection-specific CBIR than generic texture features such as Gabor filter banks. This paper describes changes to a filter selection method and feature extraction process that significantly improve the performance of both ICF- and Gabor filter-based features. We describe, and correct a possible oversight in, a previously published variance-based filter selection method. We also propose the use of locally normalised convolution as a technique to better match texture patterns in images with local intensity differences. We evaluate these changes using a simple CBIR system and our Precision and Recall results are significant..

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University of Melbourne Researchers

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