Intelligent Image Retrieval Techniques: A Survey

Intelligent Image Retrieval Techniques: A Survey

In the current era of digital communication, the use of digital images has increased for expressing, sharing and interpreting information. While working with digital images, quite often it is necessary to search for a specific image for a particular situation based on the visual contents of the image. This task looks easy if you are dealing with tens of images but it gets more difficult when the number of images goes from tens to hundreds and thousands, and the same content-based searching task becomes extremely complex when the number of images is in the millions. To deal with the situation, some intelligent way of content-based searching is required to fulfill the searching request with right visual contents in a reasonable amount of time. There are some really smart techniques proposed by researchers for efficient and robust content-based image retrieval. In this research, the aim is to highlight the efforts of researchers who conducted some brilliant work and to provide a proof of concept for intelligent content-based image retrieval techniques.

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Principais autores: Mussarat,Yasmin, Sajjad,Mohsin, Muhammad,Sharif
Formato: Digital revista
Idioma:English
Publicado em: Universidad Nacional Autónoma de México, Instituto de Ciencias Aplicadas y Tecnología 2014
Acesso em linha:http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1665-64232014000100009
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spelling oai:scielo:S1665-642320140001000092015-02-12Intelligent Image Retrieval Techniques: A SurveyMussarat,YasminSajjad,MohsinMuhammad,Sharif Image retrieval intelligent image indexing image data store online image retrieval search by visual contents In the current era of digital communication, the use of digital images has increased for expressing, sharing and interpreting information. While working with digital images, quite often it is necessary to search for a specific image for a particular situation based on the visual contents of the image. This task looks easy if you are dealing with tens of images but it gets more difficult when the number of images goes from tens to hundreds and thousands, and the same content-based searching task becomes extremely complex when the number of images is in the millions. To deal with the situation, some intelligent way of content-based searching is required to fulfill the searching request with right visual contents in a reasonable amount of time. There are some really smart techniques proposed by researchers for efficient and robust content-based image retrieval. In this research, the aim is to highlight the efforts of researchers who conducted some brilliant work and to provide a proof of concept for intelligent content-based image retrieval techniques.info:eu-repo/semantics/openAccessUniversidad Nacional Autónoma de México, Instituto de Ciencias Aplicadas y TecnologíaJournal of applied research and technology v.12 n.1 20142014-01-01info:eu-repo/semantics/articletext/htmlhttp://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1665-64232014000100009en
institution SCIELO
collection OJS
country México
countrycode MX
component Revista
access En linea
databasecode rev-scielo-mx
tag revista
region America del Norte
libraryname SciELO
language English
format Digital
author Mussarat,Yasmin
Sajjad,Mohsin
Muhammad,Sharif
spellingShingle Mussarat,Yasmin
Sajjad,Mohsin
Muhammad,Sharif
Intelligent Image Retrieval Techniques: A Survey
author_facet Mussarat,Yasmin
Sajjad,Mohsin
Muhammad,Sharif
author_sort Mussarat,Yasmin
title Intelligent Image Retrieval Techniques: A Survey
title_short Intelligent Image Retrieval Techniques: A Survey
title_full Intelligent Image Retrieval Techniques: A Survey
title_fullStr Intelligent Image Retrieval Techniques: A Survey
title_full_unstemmed Intelligent Image Retrieval Techniques: A Survey
title_sort intelligent image retrieval techniques: a survey
description In the current era of digital communication, the use of digital images has increased for expressing, sharing and interpreting information. While working with digital images, quite often it is necessary to search for a specific image for a particular situation based on the visual contents of the image. This task looks easy if you are dealing with tens of images but it gets more difficult when the number of images goes from tens to hundreds and thousands, and the same content-based searching task becomes extremely complex when the number of images is in the millions. To deal with the situation, some intelligent way of content-based searching is required to fulfill the searching request with right visual contents in a reasonable amount of time. There are some really smart techniques proposed by researchers for efficient and robust content-based image retrieval. In this research, the aim is to highlight the efforts of researchers who conducted some brilliant work and to provide a proof of concept for intelligent content-based image retrieval techniques.
publisher Universidad Nacional Autónoma de México, Instituto de Ciencias Aplicadas y Tecnología
publishDate 2014
url http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1665-64232014000100009
work_keys_str_mv AT mussaratyasmin intelligentimageretrievaltechniquesasurvey
AT sajjadmohsin intelligentimageretrievaltechniquesasurvey
AT muhammadsharif intelligentimageretrievaltechniquesasurvey
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