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dc.contributor.author
Uriza, Esteban
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dc.contributor.author
Gómez Fernández, Francisco Roberto
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dc.contributor.author
Rais, Martín
dc.date.available
2019-12-17T13:18:35Z
dc.date.issued
2018-02
dc.identifier.citation
Uriza, Esteban; Gómez Fernández, Francisco Roberto; Rais, Martín; Efficient large-scale image search with a vocabulary tree; Cachan; Image Processing On Line; 8; 2-2018; 71-98
dc.identifier.issn
2105-1232
dc.identifier.uri
http://hdl.handle.net/11336/92344
dc.description.abstract
The task of searching and recognizing objects in images has become an important research topic in the area of image processing and computer vision. Looking for similar images in large datasets given an input query and responding as fast as possible is a very challenging task. In this work the Bag of Features approach is studied, and an implementation of the visual vocabulary tree method from Nist´er and Stew´enius is presented. Images are described using local invariant descriptor techniques and then indexed in a database using an inverted index for further queries. The descriptors are quantized according to a visual vocabulary, creating sparse vectors, which allows to compute very efficiently, for each query, a ranking of similarity for indexed images. The performance of the method is analyzed varying different factors, such as the parameters for the vocabulary tree construction, different techniques of local descriptors extraction and dimensionality reduction with PCA. It can be observed that the retrieval performance increases with a richer vocabulary and decays very slowly as the size of the dataset grows.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Cachan
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
BAG OF FEATURES
dc.subject
IMAGE PROCESSING
dc.subject
SCALABLE RECOGNITION
dc.subject
VOCABULARY TREE
dc.subject.classification
Ciencias de la Computación
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dc.subject.classification
Ciencias de la Computación e Información
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dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
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dc.title
Efficient large-scale image search with a vocabulary tree
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2019-12-16T19:13:37Z
dc.journal.number
8
dc.journal.pagination
71-98
dc.journal.pais
Francia
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dc.journal.ciudad
Paris
dc.description.fil
Fil: Uriza, Esteban. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina
dc.description.fil
Fil: Gómez Fernández, Francisco Roberto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina
dc.description.fil
Fil: Rais, Martín. Escuela Normal Superior de Cachan; Francia
dc.journal.title
Image Processing On Line
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.ipol.im/pub/art/2018/199/
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.5201/ipol.2018.199
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