Articles liés à Visual Information Retrieval using Java and LIRE

Visual Information Retrieval using Java and LIRE - Couverture souple

 
9781608459186: Visual Information Retrieval using Java and LIRE

Synopsis

Visual information retrieval (VIR) is an active and vibrant research area, which attempts at providing means for organizing, indexing, annotating, and retrieving visual information (images and videos) from large, unstructured repositories. The goal of VIR is to retrieve matches ranked by their relevance to a given query, which is often expressed as an example image and/or a series of keywords. During its early years (1995-2000), the research efforts were dominated by content-based approaches contributed primarily by the image and video processing community. During the past decade, it was widely recognized that the challenges imposed by the lack of coincidence between an image's visual contents and its semantic interpretation, also known as semantic gap, required a clever use of textual metadata (in addition to information extracted from the image's pixel contents) to make image and video retrieval solutions efficient and effective. The need to bridge (or at least narrow) the semantic gap has been one of the driving forces behind current VIR research. Additionally, other related research problems and market opportunities have started to emerge, offering a broad range of exciting problems for computer scientists and engineers to work on. In this introductory book, we focus on a subset of VIR problems where the media consists of images, and the indexing and retrieval methods are based on the pixel contents of those images -- an approach known as content-based image retrieval (CBIR). We present an implementation-oriented overview of CBIR concepts, techniques, algorithms, and figures of merit. Most chapters are supported by examples written in Java, using Lucene (an open-source Java-based indexing and search implementation) and LIRE (Lucene Image REtrieval), an open-source Java-based library for CBIR. Table of Contents: Introduction / Information Retrieval: Selected Concepts and Techniques / Visual Features / Indexing Visual Features / LIRE: An Extensible Java CBIR Library / Concluding Remarks

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Visual information retrieval (VIR) is an active and vibrant research area, which attempts at providing means for organizing, indexing, annotating, and retrieving visual information (images and videos) from large, unstructured repositories. The goal of VIR is to retrieve matches ranked by their relevance to a given query, which is often expressed as an example image and/or a series of keywords. During its early years (1995-2000), the research efforts were dominated by content-based approaches contributed primarily by the image and video processing community. During the past decade, it was widely recognized that the challenges imposed by the lack of coincidence between an image's visual contents and its semantic interpretation, also known as semantic gap, required a clever use of textual metadata (in addition to information extracted from the image's pixel contents) to make image and video retrieval solutions efficient and effective. The need to bridge (or at least narrow) the semantic gap has been one of the driving forces behind current VIR research. Additionally, other related research problems and market opportunities have started to emerge, offering a broad range of exciting problems for computer scientists and engineers to work on. In this introductory book, we focus on a subset of VIR problems where the media consists of images, and the indexing and retrieval methods are based on the pixel contents of those images -- an approach known as content-based image retrieval (CBIR). We present an implementation-oriented overview of CBIR concepts, techniques, algorithms, and figures of merit. Most chapters are supported by examples written in Java, using Lucene (an open-source Java-based indexing and search implementation) and LIRE (Lucene Image REtrieval), an open-source Java-based library for CBIR. Table of Contents: Introduction / Information Retrieval: Selected Concepts and Techniques / Visual Features / Indexing Visual Features / LIRE: An Extensible Java CBIR Library / Concluding Remarks

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

  • ÉditeurMorgan & Claypool Publishers
  • Date d'édition2013
  • ISBN 10 1608459187
  • ISBN 13 9781608459186
  • ReliureBroché
  • Langueanglais
  • Nombre de pages112
  • Coordonnées du fabricantnon disponible

Acheter D'occasion

état :  Satisfaisant
Item in good condition. Textbooks...
Afficher cet article
EUR 30,64

Autre devise

EUR 30,64 expédition depuis Etats-Unis vers France

Destinations, frais et délais

Acheter neuf

Afficher cet article
EUR 14,69

Autre devise

EUR 11,86 expédition depuis Royaume-Uni vers France

Destinations, frais et délais

Autres éditions populaires du même titre

9783031011542: Visual Information Retrieval Using Java and Lire

Edition présentée

ISBN 10 :  3031011546 ISBN 13 :  9783031011542
Editeur : Springer International Publishin..., 2013
Couverture souple

Résultats de recherche pour Visual Information Retrieval using Java and LIRE

Image d'archives

Lux, Mathias/ Marques, Oge
Edité par Morgan & Claypool, 2013
ISBN 10 : 1608459187 ISBN 13 : 9781608459186
Neuf Paperback

Vendeur : Revaluation Books, Exeter, Royaume-Uni

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Paperback. Etat : Brand New. 96 pages. 9.00x7.25x0.25 inches. In Stock. N° de réf. du vendeur 1608459187

Contacter le vendeur

Acheter neuf

EUR 14,69
Autre devise
Frais de port : EUR 11,86
De Royaume-Uni vers France
Destinations, frais et délais

Quantité disponible : 1 disponible(s)

Ajouter au panier

Image d'archives

Lux, Mathias, Marques, Oge
Edité par Morgan & Claypool Publishers, 2013
ISBN 10 : 1608459187 ISBN 13 : 9781608459186
Ancien ou d'occasion Couverture souple

Vendeur : SecondSale, Montgomery, IL, Etats-Unis

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Etat : Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc. N° de réf. du vendeur 00027946535

Contacter le vendeur

Acheter D'occasion

EUR 30,64
Autre devise
Frais de port : EUR 30,64
De Etats-Unis vers France
Destinations, frais et délais

Quantité disponible : 1 disponible(s)

Ajouter au panier

Image d'archives

Mathias Lux; Oge Marques
Edité par Morgan & Claypool, 2013
ISBN 10 : 1608459187 ISBN 13 : 9781608459186
Ancien ou d'occasion Soft Cover

Vendeur : BookOrders, Russell, IA, Etats-Unis

Évaluation du vendeur 4 sur 5 étoiles Evaluation 4 étoiles, En savoir plus sur les évaluations des vendeurs

Soft Cover. Etat : Good. Ex-library with the usual features. Library label on front cover. The interior is clean and tight. Binding is good. Cover shows very light wear. Ex-Library. N° de réf. du vendeur 122019

Contacter le vendeur

Acheter D'occasion

EUR 27,05
Autre devise
Frais de port : EUR 36,77
De Etats-Unis vers France
Destinations, frais et délais

Quantité disponible : 1 disponible(s)

Ajouter au panier