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Kernelizing Spatially Consistent Visual Matches for Fine-Grained Classification

Valentin Leveau ^{1, 2, 3} Alexis Joly ^{2, 3} Olivier Buisson ⁴ Patrick Valduriez ^{5, 3, 6}

1 INA - Institut National de l'Audiovisuel

2 LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier

3 ZENITH - Scientific Data Management

LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée

4 INA-SUP

INA - Institut National de l'Audiovisuel

5 MSR - INRIA - Microsoft Research - Inria Joint Centre

6 IBC - Institut de Biologie Computationnelle

Abstract : This paper introduces a new image representation relying on the spatial pooling of geometrically consistent visual matches. We therefore introduce a new match kernel based on the in- verse rank of the shared nearest neighbors combined with local geometric constraints. To avoid overtting and reduce processing costs, the dimensionality of the resulting over- complete representation is further reduced by hierarchically pooling the raw consistent matches according to their spa- tial position in the training images. The nal image repre- sentation is obtained by concatenating the resulting feature vectors at several resolutions. Learning from these represen- tations using a logistic regression classier is shown to pro- vide excellent ne-grained classication performances out- performing the results reported in the literature on several classication tasks.

Type de document :

Communication dans un congrès

ICMR: International Conference on Multimedia Retrieval, Jun 2015, Shangai, China. 5th ACM on International Conference on Multimedia Retrieval, pp.155-162, 2015, 〈http://www.sigmm.org/archive/ICMR/icmr15/index.html〉. 〈10.1145/2671188.2749328〉

Domaine :

Informatique [cs] / Vision par ordinateur et reconnaissance de formes [cs.CV]

Informatique [cs] / Algorithme et structure de données [cs.DS]

Informatique [cs] / Multimédia [cs.MM]

Liste complète des métadonnées

https://hal.inria.fr/hal-01145988
Contributeur : Alexis Joly <>
Soumis le : lundi 27 avril 2015 - 14:19:42
Dernière modification le : mercredi 5 décembre 2018 - 14:26:01