Visual Information Retrieval using Java and LIRE (Synthesis Lectures on Information Concepts, Retrieval, and S)

0 valoración promedio
( 0 valoraciones por Goodreads )
 
9781608459186: Visual Information Retrieval using Java and LIRE (Synthesis Lectures on Information Concepts, Retrieval, and S)

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

"Sinopsis" puede pertenecer a otra edición de este libro.

Comprar nuevo Ver libro

Gastos de envío: GRATIS
De Reino Unido a Estados Unidos de America

Destinos, gastos y plazos de envío

Añadir al carrito

Los mejores resultados en AbeBooks

1.

Mathias Lux, Oge Marques
Editorial: Morgan Claypool, United States (2013)
ISBN 10: 1608459187 ISBN 13: 9781608459186
Nuevos Paperback Cantidad: 10
Librería
The Book Depository
(London, Reino Unido)
Valoración
[?]

Descripción Morgan Claypool, United States, 2013. Paperback. Estado de conservación: New. Language: English . Brand New Book. 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. Nº de ref. de la librería AAN9781608459186

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 32,49
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

2.

Mathias Lux, Oge Marques
Editorial: Morgan Claypool, United States (2013)
ISBN 10: 1608459187 ISBN 13: 9781608459186
Nuevos Paperback Cantidad: 10
Librería
The Book Depository US
(London, Reino Unido)
Valoración
[?]

Descripción Morgan Claypool, United States, 2013. Paperback. Estado de conservación: New. Language: English . Brand New Book. 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. Nº de ref. de la librería AAN9781608459186

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 32,93
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

3.

Mathias Lux; Oge Marques
ISBN 10: 1608459187 ISBN 13: 9781608459186
Nuevos Cantidad: 10
Librería
BWB
(Valley Stream, NY, Estados Unidos de America)
Valoración
[?]

Descripción Estado de conservación: New. Depending on your location, this item may ship from the US or UK. Nº de ref. de la librería 97816084591860000000

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 32,94
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
A Estados Unidos de America
Destinos, gastos y plazos de envío

4.

Mathias Lux
Editorial: Morgan and Claypool (2013)
ISBN 10: 1608459187 ISBN 13: 9781608459186
Nuevos Cantidad: > 20
Impresión bajo demanda
Librería
Pbshop
(Wood Dale, IL, Estados Unidos de America)
Valoración
[?]

Descripción Morgan and Claypool, 2013. PAP. Estado de conservación: New. New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. de la librería IQ-9781608459186

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 30,04
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 3,38
A Estados Unidos de America
Destinos, gastos y plazos de envío

5.

Mathias Lux, Oge Marques
Editorial: Morgan & Claypool
ISBN 10: 1608459187 ISBN 13: 9781608459186
Nuevos Paperback / softback Cantidad: 10
Librería
THE SAINT BOOKSTORE
(Southport, Reino Unido)
Valoración
[?]

Descripción Morgan & Claypool. Paperback / softback. Estado de conservación: new. BRAND NEW, Visual Information Retrieval Using Java and Lire, Mathias Lux, Oge Marques. Nº de ref. de la librería B9781608459186

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 29,21
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 7,59
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

6.

Mathias Lux
Editorial: Morgan and Claypool (2013)
ISBN 10: 1608459187 ISBN 13: 9781608459186
Nuevos Cantidad: 10
Librería
Books2Anywhere
(Fairford, GLOS, Reino Unido)
Valoración
[?]

Descripción Morgan and Claypool, 2013. PAP. Estado de conservación: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Nº de ref. de la librería CE-9781608459186

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 27,82
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 9,83
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

7.

Oge Marques
Editorial: Morgan & Claypool
ISBN 10: 1608459187 ISBN 13: 9781608459186
Nuevos Paperback Cantidad: 20
Librería
BuySomeBooks
(Las Vegas, NV, Estados Unidos de America)
Valoración
[?]

Descripción Morgan & Claypool. Paperback. Estado de conservación: New. Paperback. 112 pages. Dimensions: 9.1in. x 7.3in. x 0.4in.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 andor 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 images 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 images 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 This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Nº de ref. de la librería 9781608459186

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 37,12
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 3,34
A Estados Unidos de America
Destinos, gastos y plazos de envío

8.

Lux, Mathias
Editorial: Morgan & Claypool Publishers (2017)
ISBN 10: 1608459187 ISBN 13: 9781608459186
Nuevos Paperback Cantidad: 19
Impresión bajo demanda
Librería
Murray Media
(North Miami Beach, FL, Estados Unidos de America)
Valoración
[?]

Descripción Morgan & Claypool Publishers, 2017. Paperback. Estado de conservación: New. Never used! This item is printed on demand. Nº de ref. de la librería 1608459187

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 39,14
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 1,68
A Estados Unidos de America
Destinos, gastos y plazos de envío

9.

Mathias Lux
Editorial: Morgan and Claypool (2013)
ISBN 10: 1608459187 ISBN 13: 9781608459186
Nuevos Cantidad: > 20
Impresión bajo demanda
Librería
Books2Anywhere
(Fairford, GLOS, Reino Unido)
Valoración
[?]

Descripción Morgan and Claypool, 2013. PAP. Estado de conservación: New. New Book. Delivered from our UK warehouse in 3 to 5 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. de la librería IQ-9781608459186

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 31,18
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 9,83
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

10.

Mathias Lux
Editorial: Morgan Claypool (2013)
ISBN 10: 1608459187 ISBN 13: 9781608459186
Nuevos Paperback Cantidad: 10
Librería
Book Depository hard to find
(London, Reino Unido)
Valoración
[?]

Descripción Morgan Claypool, 2013. Paperback. Estado de conservación: New. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. 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. Nº de ref. de la librería LIE9781608459186

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 43,67
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

Existen otras copia(s) de este libro

Ver todos los resultados de su búsqueda