Instance classification with prototype selection

Josip Krapac 1 Florent Perronnin 2 Teddy Furon 1 Hervé Jégou 1
1 TEXMEX - Multimedia content-based indexing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : We address the problem of instance classification: our goal is to annotate images with tags corresponding to objects classes which exhibit small intra-class variations such as logos, products or landmarks. We propose a novel algorithm for the selection of class-specific prototypes which are used in a voting-based classification scheme. We show significant improvements over two state-of-the-art methods, namely the Fisher vector and Hamming Embedding, on two challenging methods of logos and vehicles.
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Conference papers
ICMR - ACM International Conference on Multimedia Retrieval, Apr 2014, Glasgow, United Kingdom. 2014
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Josip Krapac, Florent Perronnin, Teddy Furon, Hervé Jégou. Instance classification with prototype selection. ICMR - ACM International Conference on Multimedia Retrieval, Apr 2014, Glasgow, United Kingdom. 2014. 〈hal-00942275〉

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