Visual Information Retrieval Using Java and LIRE (Record no. 85643)
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| 000 -LEADER | |
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| fixed length control field | 04039nam a22004935i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-031-02282-1 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240730164413.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 220601s2013 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783031022821 |
| -- | 978-3-031-02282-1 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 510 |
| 100 1# - AUTHOR NAME | |
| Author | Lux, Mathias. |
| 245 10 - TITLE STATEMENT | |
| Title | Visual Information Retrieval Using Java and LIRE |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2013. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XV, 96 p. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Synthesis Lectures on Information Concepts, Retrieval, and Services, |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Introduction -- Information Retrieval: Selected Concepts and Techniques -- Visual Features -- Indexing Visual Features -- LIRE: An Extensible Java CBIR Library -- Concluding Remarks. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Marques, Oge. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1007/978-3-031-02282-1 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
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| -- | Springer International Publishing : |
| -- | Imprint: Springer, |
| -- | 2013. |
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| -- | Mathematics. |
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| -- | Computer science. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Mathematics. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer Science. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| -- | 1947-9468 |
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