Classification of iconic images


Zrianina, Mariia ; Kopf, Stephan


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URL: https://ub-madoc.bib.uni-mannheim.de/40929
URN: urn:nbn:de:bsz:180-madoc-409297
Document Type: Working paper
Year of publication: 2016
The title of a journal, publication series: Technical Reports
Volume: 16-001
Place of publication: Mannheim
Publication language: English
Institution: School of Business Informatics and Mathematics > Praktische Informatik IV (Effelsberg -2017)
MADOC publication series: Veröffentlichungen der Fakultät für Mathematik und Informatik > Institut für Informatik > Technical Reports
Subject: 004 Computer science, internet
Keywords (English): image classification , semantic image search , iconic images
Abstract: Iconic images represent an abstract topic and use a presentation that is intuitively understood within a certain cultural context. For example, the abstract topic “global warming” may be represented by a polar bear standing alone on an ice floe. Such images are widely used in media and their automatic classification can help to identify high-level semantic concepts. This paper presents a system for the classification of iconic images. It uses a variation of the Bag of Visual Words approach with enhanced feature descriptors. Our novel color pyramids feature incorporates color information into the classification scheme. It improves the average F1 measure of the classification by 0:117. The performance of our system is further evaluated under a variety of parameters.

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Zrianina, Mariia ; Kopf, Stephan (2016) Classification of iconic images. Open Access Technical Reports Mannheim 16-001 [Working paper]
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