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Automatic Photography Categorization

By Martin Matuszek

Abstract

This thesis deal with choosing methods, design and implementation of application, which is able of automatic categorization photos based on its content into predetermined groups. Main steps of categorization are described in greater detail. Finding and description of interesting points in image is implemented using SURF, creation of visual dictionary by k-means, mapping on the words through kd-tree structure. Own evaluation is made for categorization. It is described, how the selected steps were implemented with OpenCV and Qt libraries. And the results of runs of application with different settings are shown. And efforts to improve outcome, when the application can categorize right, but success is variable

Topics: SURF; clustering; shlukování; vizuální slovník; k-means; interesting points; příznakový vektor; visual dictionary; kd-tree; význačné body; automatic image categorization; automatická kategorizace obrazu; feature vector
Publisher: Vysoké učení technické v Brně. Fakulta informačních technologií
Year: 2010
OAI identifier: oai:invenio.nusl.cz:239231
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