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Web Semantics for Textual and Visual Information Retrieval

Web Semantics for Textual and Visual Information Retrieval
Author: Singh, Aarti
Publisher: IGI Global
Total Pages: 290
Release: 2017-02-22
Genre: Computers
ISBN: 1522524843

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Modern society exists in a digital era in which high volumes of multimedia information exists. To optimize the management of this data, new methods are emerging for more efficient information retrieval. Web Semantics for Textual and Visual Information Retrieval is a pivotal reference source for the latest academic research on embedding and associating semantics with multimedia information to improve data retrieval techniques. Highlighting a range of pertinent topics such as automation, knowledge discovery, and social networking, this book is ideally designed for researchers, practitioners, students, and professionals interested in emerging trends in information retrieval.


Semantic-Based Visual Information Retrieval

Semantic-Based Visual Information Retrieval
Author: Zhang, Yu-Jin
Publisher: IGI Global
Total Pages: 368
Release: 2006-11-30
Genre: Computers
ISBN: 1599043726

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"This book presents state-of-the-art advancements and developments in the field, and also brings a selection of techniques and algorithms about semantic-based visual information retrieval. It covers many critical issues, such as: multi-level representation and description, scene understanding, semantic modeling, image and video annotation, human-computer interaction, and more"--Provided by publisher.


Textual and Visual Information Retrieval using Query Refinement and Pattern Analysis

Textual and Visual Information Retrieval using Query Refinement and Pattern Analysis
Author: S.G. Shaila
Publisher: Springer
Total Pages: 123
Release: 2018-09-29
Genre: Computers
ISBN: 9811325596

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This book offers comprehensive coverage of information retrieval by considering both Text Based Information Retrieval (TBIR) and Content Based Image Retrieval (CBIR), together with new research topics. The approach to TBIR is based on creating a thesaurus, as well as event classification and detection. N-gram thesaurus generation for query refinement offers a new method for improving the precision of retrieval, while event classification and detection approaches aid in the classification and organization of information using web documents for domain-specific retrieval applications. In turn, with regard to content based image retrieval (CBIR) the book presents a histogram construction method, which is based on human visual perceptions of color. The book’s overarching goal is to introduce readers to new ideas in an easy-to-follow manner.


Visual Information Retrieval Using Java and LIRE

Visual Information Retrieval Using Java and LIRE
Author: Lux Mathias
Publisher: Springer Nature
Total Pages: 96
Release: 2022-05-31
Genre: Mathematics
ISBN: 3031022823

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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


Information Retrieval

Information Retrieval
Author: Ayse Goker
Publisher: John Wiley & Sons
Total Pages: 320
Release: 2009-12-15
Genre: Technology & Engineering
ISBN: 9780470033630

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This book is an essential reference to cutting-edge issues and future directions in information retrieval Information retrieval (IR) can be defined as the process of representing, managing, searching, retrieving, and presenting information. Good IR involves understanding information needs and interests, developing an effective search technique, system, presentation, distribution and delivery. The increased use of the Web and wider availability of information in this environment led to the development of Web search engines. This change has brought fresh challenges to a wider variety of users’ needs, tasks, and types of information. Today, search engines are seen in enterprises, on laptops, in individual websites, in library catalogues, and elsewhere. Information Retrieval: Searching in the 21st Century focuses on core concepts, and current trends in the field. This book focuses on: Information Retrieval Models User-centred Evaluation of Information Retrieval Systems Multimedia Resource Discovery Image Users’ Needs and Searching Behaviour Web Information Retrieval Mobile Search Context and Information Retrieval Text Categorisation and Genre in Information Retrieval Semantic Search The Role of Natural Language Processing in Information Retrieval: Search for Meaning and Structure Cross-language Information Retrieval Performance Issues in Parallel Computing for Information Retrieval This book is an invaluable reference for graduate students on IR courses or courses in related disciplines (e.g. computer science, information science, human-computer interaction, and knowledge management), academic and industrial researchers, and industrial personnel tracking information search technology developments to understand the business implications. Intermediate-advanced level undergraduate students on IR or related courses will also find this text insightful. Chapters are supplemented with exercises to stimulate further thinking.


Image Retrieval and Analysis Using Text and Fuzzy Shape Features: Emerging Research and Opportunities

Image Retrieval and Analysis Using Text and Fuzzy Shape Features: Emerging Research and Opportunities
Author: Sumathy, P.
Publisher: IGI Global
Total Pages: 183
Release: 2018-01-05
Genre: Computers
ISBN: 152253797X

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Multimedia information retrieval focuses on the tools of processing and searching that are applicable to the content-based management of new multimedia documents. It has recently expanded to encompass newly devised techniques that will further its performance and growing importance. Image Retrieval and Analysis Using Text and Fuzzy Shape Features: Emerging Research and Opportunities is a critical scholarly resource that explores methods and strategies related to multimedia information retrieval systems. Featuring coverage on a broad range of topics including content-based image retrieval, text-based image retrieval, fuzzy object shape features, encoding, and indexing, this book is geared towards library science specialists, information technology specialists, and researchers seeking current information on the integration of new information retrieval technologies.


Advances in Information Systems

Advances in Information Systems
Author: Tatyana Yakhno
Publisher: Springer
Total Pages: 431
Release: 2006-10-11
Genre: Computers
ISBN: 3540462929

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This book constitutes the refereed proceedings of the 4th International Conference on Advances in Information Systems, ADVIS 2006, held in Izmir, Turkey in October 2006. The 38 revised full papers presented together with four invited lectures were carefully reviewed and selected from 120 submissions. The papers are organized in topical sections.


Multidisciplinary Approaches to Service-Oriented Engineering

Multidisciplinary Approaches to Service-Oriented Engineering
Author: Khosrow-Pour, D.B.A., Mehdi
Publisher: IGI Global
Total Pages: 389
Release: 2018-06-01
Genre: Technology & Engineering
ISBN: 1522559523

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The service industry is continually improving, forcing service-oriented engineering to improve alongside it. In a digitalized world, technology within the service industry has adapted to support interactions between users and organizations. By identifying key problems and features, service providers can help increase facilitator profitability and user satisfaction. Multidisciplinary Approaches to Service-Oriented Engineering is a well-rounded collection of research that examines methods of providing optimal system design for service systems and applications engineering. While exploring topics such as cloud ecosystems, interface localization, and requirement prioritization, this publication provides information about the approaches and development of software architectures to improve service quality. This book is a vital resource for engineers, theoreticians, educators, developers, IT consultants, researchers, practitioners, and professionals.


Information Retrieval Architecture and Algorithms

Information Retrieval Architecture and Algorithms
Author: Gerald Kowalski
Publisher: Springer Science & Business Media
Total Pages: 312
Release: 2010-12-01
Genre: Computers
ISBN: 1441977163

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This text presents a theoretical and practical examination of the latest developments in Information Retrieval and their application to existing systems. By starting with a functional discussion of what is needed for an information system, the reader can grasp the scope of information retrieval problems and discover the tools to resolve them. The book takes a system approach to explore every functional processing step in a system from ingest of an item to be indexed to displaying results, showing how implementation decisions add to the information retrieval goal, and thus providing the user with the needed outcome, while minimizing their resources to obtain those results. The text stresses the current migration of information retrieval from just textual to multimedia, expounding upon multimedia search, retrieval and display, as well as classic and new textual techniques. It also introduces developments in hardware, and more importantly, search architectures, such as those introduced by Google, in order to approach scalability issues. About this textbook: A first course text for advanced level courses, providing a survey of information retrieval system theory and architecture, complete with challenging exercises Approaches information retrieval from a practical systems view in order for the reader to grasp both scope and solutions Features what is achievable using existing technologies and investigates what deficiencies warrant additional exploration


Proceedings of ICETIT 2019

Proceedings of ICETIT 2019
Author: Pradeep Kumar Singh
Publisher: Springer Nature
Total Pages: 1144
Release: 2019-09-23
Genre: Computers
ISBN: 3030305775

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This book presents high-quality, original contributions (both theoretical and experimental) on Information Security, Machine Learning, Data Mining and Internet of Things (IoT). It gathers papers presented at ICETIT 2019, the 1st International Conference on Emerging Trends in Information Technology, which was held in Delhi, India, in June 2019. This conference series represents a targeted response to the growing need for research that reports on and assesses the practical implications of IoT and network technologies, AI and machine learning, data analytics and cloud computing, security and privacy, and next generation computing technologies.