Visual Image Search: Feature Signatures or/and Global Descriptors

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F12%3A10123411" target="_blank" >RIV/00216208:11320/12:10123411 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1007/978-3-642-32153-5_13" target="_blank" >http://dx.doi.org/10.1007/978-3-642-32153-5_13</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-642-32153-5_13" target="_blank" >10.1007/978-3-642-32153-5_13</a>

Result language

angličtina

Original language name

Visual Image Search: Feature Signatures or/and Global Descriptors

Original language description

The success of content-based retrieval systems stands or falls with the quality of the utilized similarity model. In the case of having no additional keywords or annotations provided with the multimedia data, the hard task is to guarantee the highest possible retrieval precision using only content-based retrieval techniques. In this paper we push the visual image search a step further by testing effective combination of two orthogonal approaches - the MPEG-7 global visual descriptors and the feature signatures equipped by the Signature Quadratic Form Distance. We investigate various ways of descriptor combinations and evaluate the overall effectiveness of the search on three different image collections. Moreover, we introduce a new image collection, TWIC, designed as a larger realistic image collection providing ground truth. In all the experiments, the combination of descriptors proved its superior performance on all tested collections. Furthermore, we propose a re-ranking variant gua

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

IN - Informatics

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2012

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Lecture Notes in Computer Science

ISSN

0302-9743

e-ISSN

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Volume of the periodical

2012

Issue of the periodical within the volume

7404

Country of publishing house

DE - GERMANY

Number of pages

15

Pages from-to

177-191

UT code for WoS article

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EID of the result in the Scopus database

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