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Image Retrieval Based on Color Histograms

By Zbyněk Sailer

Abstract

This thesis deals with description of existing methods of image retrieval. It contains set of methods for image description, coding of global and local descriptor (SIFT, etc.) and describes method of effective searching in multidimensional space (LSH). It continues with proposal and testing of three global descriptors using color histograms, histogram of gradients and the combination of both. The last part deals with similar image retrieval using proposed descriptors and the indexing method LSH and compares the results with the existing method. Product of this work is an experimental application which demonstrates the proposed solution

Topics: color histogram; index; image retrieval; similarity; gradient; image; obraz; barevný histogram; oponentní barevný model; vyhledávání; histogram; descriptor; RGB; video; LSH; opponent color model; deskriptor; podobnost 
Publisher: Vysoké učení technické v Brně. Fakulta informačních technologií
Year: 2012
OAI identifier: oai:invenio.nusl.cz:236514
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