Retrieval of still images by content
Lectures on information retrieval
Retrieval of Still Images by Content
ESSIR '00 Proceedings of the Third European Summer-School on Lectures on Information Retrieval-Revised Lectures
Image Retrieval Methods for a Database of Funeral Monuments
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
Multiresolution Histograms and Their Use for Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
An empirical investigation of user term feedback in text-based targeted image search
ACM Transactions on Information Systems (TOIS)
A robust color object analysis approach to efficient image retrieval
EURASIP Journal on Applied Signal Processing
Multi-band Gradient Component Pattern (MGCP): A New Statistical Feature for Face Recognition
SCIA '09 Proceedings of the 16th Scandinavian Conference on Image Analysis
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Texture-based medical image retrieval in compressed domain using compressive sensing
International Journal of Bioinformatics Research and Applications
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A system to retrieve images using a description of the image intensity surface is presented. Gaussian derivative filters at several scales are applied to the image and low order 2D differential invariants are computed. The resulting multi-scale representation is indexed for rapid retrieval. Queries are designed by the users from an example image by selecting appropriate regions. The invariant vectors corresponding to these regions are matched with the database counter-parts both in feature and coordinate space. This yields a match score per image. Images are sorted by the match score and displayed. Experiments conducted with over 1500 images of objects embedded in arbitrary backgrounds are described. It is observed that images similar in appearance and whose viewpoint is within small view variations of the query can be retrieved with an average precision1 of 56%.