loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Giuseppe Amato ; Paolo Bolettieri ; Fabrizio Falchi ; Claudio Gennaro and Lucia Vadicamo

Affiliation: CNR, Italy

Keyword(s): Bag of Features, Bag of Words, Local Features, Compact Codes, Image Retrieval, Vector of Locally Aggregated Descriptors.

Abstract: Surrogate Text Representation (STR) is a profitable solution to efficient similarity search on metric space using conventional text search engines, such as Apache Lucene. This technique is based on comparing the permutations of some reference objects in place of the original metric distance. However, the Achilles heel of STR approach is the need to reorder the result set of the search according to the metric distance. This forces to use a support database to store the original objects, which requires efficient random I/O on a fast secondary memory (such as flash-based storages). In this paper, we propose to extend the Surrogate Text Representation to specifically address a class of visual metric objects known as Vector of Locally Aggregated Descriptors (VLAD). This approach is based on representing the individual sub-vectors forming the VLAD vector with the STR, providing a finer representation of the vector and enabling us to get rid of the reordering phase. The experiments on a pub licly available dataset show that the extended STR outperforms the baseline STR achieving satisfactory performance near to the one obtained with the original VLAD vectors. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.138.69.101

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Amato, G.; Bolettieri, P.; Falchi, F.; Gennaro, C. and Vadicamo, L. (2016). Using Apache Lucene to Search Vector of Locally Aggregated Descriptors. In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 4: VISAPP; ISBN 978-989-758-175-5; ISSN 2184-4321, SciTePress, pages 383-392. DOI: 10.5220/0005722503830392

@conference{visapp16,
author={Giuseppe Amato. and Paolo Bolettieri. and Fabrizio Falchi. and Claudio Gennaro. and Lucia Vadicamo.},
title={Using Apache Lucene to Search Vector of Locally Aggregated Descriptors},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 4: VISAPP},
year={2016},
pages={383-392},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005722503830392},
isbn={978-989-758-175-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 4: VISAPP
TI - Using Apache Lucene to Search Vector of Locally Aggregated Descriptors
SN - 978-989-758-175-5
IS - 2184-4321
AU - Amato, G.
AU - Bolettieri, P.
AU - Falchi, F.
AU - Gennaro, C.
AU - Vadicamo, L.
PY - 2016
SP - 383
EP - 392
DO - 10.5220/0005722503830392
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic