Titolo:  Information fusion in content based image retrieval: A comprehensive overview
Data di pubblicazione:  2017
Data di prima pubblicazione on-line:  2017
Autori: 
Autori:  Piras L; Giacinto G
Numero degli autori:  2
Lingua:  Inglese
Presenza coautori internazionali:  no
Rivista:  INFORMATION FUSION
Volume:  37
Pagina iniziale:  50
Pagina finale:  60
Numero di pagine:  11
Digital Object Identifier (DOI):  http://dx.doi.org/10.1016/j.inffus.2017.01.003
Codice identificativo Scopus:  2-s2.0-85009063768
Codice identificativo ISI:  WOS:000399518100005
URL:  http://mf9eu6bl3k.search.serialssolutions.com/?ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Information+fusion+in+content+based+image+retrieval%3A+A+comprehensive+overview&rft.jtitle=Information+Fusion&rft.au=Piras%2C+Luca&rft.au=Giacinto%2C+Giorgio&rft.date=2017-09-01&rft.issn=1566-2535&rft.eissn=1872-6305&rft.volume=37&rft.spage=50&rft.epage=60&rft_id=info:doi/10.1016%2Fj.inffus.2017.01.003&rft.externalDBID=n%2Fa&rft.externalDocID=614039429&paramdict=it-IT
Abstract:  An ever increasing part of communication between persons involve the use of pictures, due to the cheap availability of powerful cameras on smartphones, and the cheap availability of storage space. The rising popularity of social networking applications such as Facebook, Twitter, Instagram, and of instant messaging applications, such as WhatsApp, WeChat, is the clear evidence of this phenomenon, due to the opportunity of sharing in real-time a pictorial representation of the context each individual is living in. The media rapidly exploited this phenomenon, using the same channel, either to publish their reports, or to gather additional information on an event through the community of users. While the real-time use of images is managed through metadata associated with the image (i.e., the timestamp, the geolocation, tags, etc.), their retrieval from an archive might be far from trivial, as an image bears a rich semantic content that goes beyond the description provided by its metadata. It turns out that after more than 20 years of research on Content-Based Image Retrieval (CBIR), the giant increase in the number and variety of images available in digital format is challenging the research community. It is quite easy to see that any approach aiming at facing such challenges must rely on different image representations that need to be conveniently fused in order to adapt to the subjectivity of image semantics. This paper offers a journey through the main information fusion ingredients that a recipe for the design of a CBIR system should include to meet the demanding needs of users.
Parole chiave:  Content based image retrieval; Information fusion; Software; Signal Processing; Information Systems; Hardware and Architecture
Tipologia: 1.1 Articolo in rivista

File in questo prodotto:
File Descrizione Tipologia Licenza  
IF-CBIR_2017_print.pdf  Copia dell'articolo pubblicato sulla rivista versione editoriale Administrator   Richiedi una copia

Questionario e social

Condividi su: