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Visual Information Retrieval
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Book Synopsis Visual Information Retrieval by : Alberto del Bimbo
Download or read book Visual Information Retrieval written by Alberto del Bimbo and published by Princeton University Press. This book was released on 1999-06-03 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: The increasing use of multimedia in computer applications has increased the relevance of visual databases. These databases now need new methods for archiving and retrieving information, and this text concentrates on meeting such a need.
Book Synopsis Principles of Visual Information Retrieval by : Michael S. Lew
Download or read book Principles of Visual Information Retrieval written by Michael S. Lew and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text introduces the basic concepts and techniques in VIR. In doing so, it develops a foundation for further research and study. Divided into two parts, the first part describes the fundamental principles. A chapter is devoted to each of the main features of VIR, such as colour, texture and shape-based search. There is coverage of search techniques for time-based image sequences or videos, and an overview of how to combine all the basic features described and integrate them into the search process. The second part looks at advanced topics such as multimedia query. This book is essential reading for researchers in VIR, and final-year undergraduate and postgraduate students on courses such as Multimedia Information Retrieval, Multimedia Databases, and others.
Book Synopsis Visualization for Information Retrieval by : Jin Zhang
Download or read book Visualization for Information Retrieval written by Jin Zhang and published by Springer Science & Business Media. This book was released on 2007-11-24 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information visualization offers a way to reveal hidden patterns in a visual presentation and allows users to seek information from a visual perspective. Readers of this book will gain an in-depth understanding of the current state of information retrieval visualization. They will be introduced to existing problems along with technical and theoretical findings. The book also provides practical details for the implementation of an information retrieval visualization system.
Book Synopsis Visual Information Retrieval Using Java and LIRE by : Lux Mathias
Download or read book Visual Information Retrieval Using Java and LIRE written by Lux Mathias and published by Springer Nature. This book was released on 2022-05-31 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Web Usage Mining Techniques and Applications Across Industries by : Kumar, A.V. Senthil
Download or read book Web Usage Mining Techniques and Applications Across Industries written by Kumar, A.V. Senthil and published by IGI Global. This book was released on 2016-08-12 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: Web usage mining is defined as the application of data mining technologies to online usage patterns as a way to better understand and serve the needs of web-based applications. Because the internet has become a central component in information sharing and commerce, having the ability to analyze user behavior on the web has become a critical component to a variety of industries. Web Usage Mining Techniques and Applications Across Industries addresses the systems and methodologies that enable organizations to predict web user behavior as a way to support website design and personalization of web-based services and commerce. Featuring perspectives from a variety of sectors, this publication is designed for use by IT specialists, business professionals, researchers, and graduate-level students interested in learning more about the latest concepts related to web-based information retrieval and mining.
Book Synopsis Visual Indexing and Retrieval by : Jenny Benois-Pineau
Download or read book Visual Indexing and Retrieval written by Jenny Benois-Pineau and published by Springer Science & Business Media. This book was released on 2012-04-05 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt: The research in content-based indexing and retrieval of visual information such as images and video has become one of the most populated directions in the vast area of information technologies. Social networks such as YouTube, Facebook, FileMobile, and DailyMotion host and supply facilities for accessing a tremendous amount of professional and user generated data. The areas of societal activity, such as, video protection and security, also generate thousands and thousands of terabytes of visual content. This book presents the most recent results and important trends in visual information indexing and retrieval. It is intended for young researchers, as well as, professionals looking for an algorithmic solution to a problem.
Book Synopsis Web Semantics for Textual and Visual Information Retrieval by : Singh, Aarti
Download or read book Web Semantics for Textual and Visual Information Retrieval written by Singh, Aarti and published by IGI Global. This book was released on 2017-02-22 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Textual and Visual Information Retrieval using Query Refinement and Pattern Analysis by : S.G. Shaila
Download or read book Textual and Visual Information Retrieval using Query Refinement and Pattern Analysis written by S.G. Shaila and published by Springer. This book was released on 2018-09-29 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Multimedia Information Retrieval and Management by : David Feng
Download or read book Multimedia Information Retrieval and Management written by David Feng and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: Everything you ever wanted to know about multimedia retrieval and management. This comprehensive book offers a full picture of the cutting-edge technologies necessary for a profound introduction to the field. Leading experts also cover a broad range of practical applications.
Book Synopsis Interactive Information Retrieval in Digital Environments by : Iris Xie
Download or read book Interactive Information Retrieval in Digital Environments written by Iris Xie and published by IGI Global Snippet. This book was released on 2008 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book includes the integration of existing frameworks on user-oriented information retrieval systems across multiple disciplines; the comprehensive review of empirical studies of interactive information retrieval systems for different types of users, tasks, and subtasks; and the discussion of how to evaluate interactive information retrieval systems"--Provided by publisher.
Book Synopsis Introduction to Information Retrieval by : Christopher D. Manning
Download or read book Introduction to Information Retrieval written by Christopher D. Manning and published by Cambridge University Press. This book was released on 2008-07-07 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.
Book Synopsis State-of-the-Art in Content-Based Image and Video Retrieval by : Remco C. Veltkamp
Download or read book State-of-the-Art in Content-Based Image and Video Retrieval written by Remco C. Veltkamp and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: Images and video play a crucial role in visual information systems and multimedia. There is an extraordinary number of applications of such systems in entertainment, business, art, engineering, and science. Such applications often involved large image and video collections, and therefore, searching for images and video in large collections is becoming an important operation. Because of the size of such databases, efficiency is crucial. We strongly believe that image and video retrieval need an integrated approach from fields such as image processing, shape processing, perception, database indexing, visualization, and querying, etc. This book contains a selection of results that was presented at the Dagstuhl Seminar on Content-Based Image and Video Retrieval, in December 1999. The purpose of this seminar was to bring together people from the various fields, in order to promote information exchange and interaction among researchers who are interested in various aspects of accessing the content of image and video data. The book provides an overview of the state of the art in content-based image and video retrieval. The topics covered by the chapters are integrated system aspects, as well as techniques from image processing, computer vision, multimedia, databases, graphics, signal processing, and information theory. The book will be of interest to researchers and professionals in the fields of multimedia, visual information (database) systems, computer vision, and information retrieval.
Book Synopsis Semantic-Based Visual Information Retrieval by : Zhang, Yu-Jin
Download or read book Semantic-Based Visual Information Retrieval written by Zhang, Yu-Jin and published by IGI Global. This book was released on 2006-11-30 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.
Book Synopsis Computer Vision Methods for Fast Image Classification and Retrieval by : Rafał Scherer
Download or read book Computer Vision Methods for Fast Image Classification and Retrieval written by Rafał Scherer and published by Springer. This book was released on 2019-01-29 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents selected methods for accelerating image retrieval and classification in large collections of images using what are referred to as ‘hand-crafted features.’ It introduces readers to novel rapid image description methods based on local and global features, as well as several techniques for comparing images. Developing content-based image comparison, retrieval and classification methods that simulate human visual perception is an arduous and complex process. The book’s main focus is on the application of these methods in a relational database context. The methods presented are suitable for both general-type and medical images. Offering a valuable textbook for upper-level undergraduate or graduate-level courses on computer science or engineering, as well as a guide for computer vision researchers, the book focuses on techniques that work under real-world large-dataset conditions.
Book Synopsis Visual Information Systems by : Clement Leung
Download or read book Visual Information Systems written by Clement Leung and published by Springer Science & Business Media. This book was released on 1997-09-29 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a thoroughly arranged anthology outlining the state of the art in the emerging area of visual informationsystems. The chapters presented are a selection of thoroughly refereed and revised full papers first presented at the First International Conference on visual Information Systems held in February 1996. Next generation information systems have a high visual content, and there will be a shift in emphasis from a paradigm of predominantly alphanumeric data processing to one of visual information processing. The book provides a detailed introductory chapter, two keynotes by leading authorities, sections on design and architecture, database management and modelling, contend-based search and retrieval, feature extraction and indexing, query model and interface, and object recognition and content organization.
Book Synopsis Advances in Visual Information Systems by : Guoping Qiu
Download or read book Advances in Visual Information Systems written by Guoping Qiu and published by Springer. This book was released on 2007-11-18 with total page 595 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-proceedings of the 9th International Conference on Visual Information Systems, VISUAL 2007, held in Shanghai, China, in June 2007. The papers are organized in topical section on image and video retrieval, visual biometrics, intelligent visual information processing, visual data mining, ubiquitous and mobile visual information systems, semantics, 2D/3D graphical visual data retrieval, and applications of visual information systems.
Book Synopsis Information Retrieval Technology by : Gary Geunbae Lee
Download or read book Information Retrieval Technology written by Gary Geunbae Lee and published by Springer Science & Business Media. This book was released on 2005-10-11 with total page 750 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second Asia Information Retrieval Symposium, AIRS 2005, held in Jeju Island, Korea, in October 2005. The 32 revised full papers and 36 revised poster papers presented were carefully reviewed and selected from 136 papers submitted. All current issues in information retrieval are addressed: applications, systems, technologies and theoretical aspects of information retrieval in text, audio, image, video and multi-media data. The papers are organized in topical sections on relevance/retrieval models, multimedia IR, natural language processing in IR, enabling technology, Web IR, question answering, document/query models, a special session: digital photo album, TDT/clustering, multimedia/classification, and two poster and demo sessions.
