Towards Semantic and Effective Visual Codebooks: Visual Vocabularies for Category-Level Object Recognition - Couverture souple

López-Sastre, Roberto Javier

 
9783846594087: Towards Semantic and Effective Visual Codebooks: Visual Vocabularies for Category-Level Object Recognition
Couverture souple
ISBN 10 : 3846594083 ISBN 13 : 9783846594087
Editeur : LAP LAMBERT Academic Publishing, 2011

Synopsis

This book focuses on the study of visual vocabularies for category-level object recognition. Our aim is not just to obtain more discriminative and more compact visual codebooks, but to bridge the gap between visual features and semantic concepts. A novel approach for obtaining class representative visual words is presented. It is based on a maximisation procedure, i.e. the Cluster Precision Maximisation, of a novel cluster precision criterion, and on an adaptive threshold refinement scheme for agglomerative clustering algorithms based on correlation clustering techniques. A novel clustering aggregation based approach for building effective visual vocabularies is described too. It consist of a novel framework for incorporating meaningful spatial coherency among the local features into the visual codebook construction. We also propose an efficient high-dimensional data clustering algorithm, the Fast Reciprocal Nearest Neighbours. Finally, we release a new database of images called Image Collection of Annotated Real-world Objects (ICARO), which is especially designed for evaluating category-level object recognition systems.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

This book focuses on the study of visual vocabularies for category-level object recognition. Our aim is not just to obtain more discriminative and more compact visual codebooks, but to bridge the gap between visual features and semantic concepts. A novel approach for obtaining class representative visual words is presented. It is based on a maximisation procedure, i.e. the Cluster Precision Maximisation, of a novel cluster precision criterion, and on an adaptive threshold refinement scheme for agglomerative clustering algorithms based on correlation clustering techniques. A novel clustering aggregation based approach for building effective visual vocabularies is described too. It consist of a novel framework for incorporating meaningful spatial coherency among the local features into the visual codebook construction. We also propose an efficient high-dimensional data clustering algorithm, the Fast Reciprocal Nearest Neighbours. Finally, we release a new database of images called Image Collection of Annotated Real-world Objects (ICARO), which is especially designed for evaluating category-level object recognition systems.

Biographie de l'auteur

Roberto López-Sastre received the M.Sc. and the Ph.D. degrees in Electrical Engineering from the University of Alcalá, Spain in 2005 and 2010. He is currently Assistant Professor at the Department of Signal Theory and Communications of the University of Alcalá. His research interests include category-level object recognition and pose estimation.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2011
Langue
anglais
ISBN 10 
3846594083
ISBN 13 
9783846594087
Reliure
Broché
Nombre de pages
168
Coordonnées du fabricant
non disponible
Personne responsable
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