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Visual Information Retrieval using Java and LIRE
 
 

Visual Information Retrieval using Java and LIRE [Kindle Edition]

Oge Marques , Mathias Lux

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Product Description

Product Description

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

Product details

  • Format: Kindle Edition
  • File Size: 2031 KB
  • Print Length: 112 pages
  • Publisher: Morgan & Claypool Publishers (1 Jan 2013)
  • Sold by: Amazon Media EU S.à r.l.
  • Language: English
  • ASIN: B00CDGMPR0
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Amazon Bestsellers Rank: #417,870 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com: 5.0 out of 5 stars  1 review
1 of 2 people found the following review helpful
5.0 out of 5 stars Great Book! 22 Feb 2013
By Riegler M. - Published on Amazon.com
Format:Paperback
It's a very good book.
I recommend it everyone who is interested in Visual Information Retrieval. The introduction to LIRE which is a powerfull tool is very clear and informative. The two authors explain the complex topic very comprehensible. I learned really a lot from this book!!
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