Abstract
Nowadays, multimedia data, especially image, are of increasing number. Content-based image retrieval system is becoming an important tool to assist user in managing his/her collection of images. This work presents a development of an image search system for a particular image database containing various types of images. We present a study of visual descriptors for this database and a simple strategy to speed-up the retrieval process. We also present a relevance feedback technique based on semi-supervised learning technique. Experimental result of the proposed system seems promising.
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© 2011 Springer-Verlag Berlin Heidelberg
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Marukatat, S. (2011). Development of a Search System for Heterogeneous Image Database. In: Theeramunkong, T., Kunifuji, S., Sornlertlamvanich, V., Nattee, C. (eds) Knowledge, Information, and Creativity Support Systems. Lecture Notes in Computer Science(), vol 6746. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24788-0_12
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DOI: https://doi.org/10.1007/978-3-642-24788-0_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24787-3
Online ISBN: 978-3-642-24788-0
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