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Visual Processing In Information Retrieval Searching
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Book Synopsis Visual Processing in Information Retrieval Searching by : Edward Michael Keen
Download or read book Visual Processing in Information Retrieval Searching written by Edward Michael Keen and published by Department of Information Systems St. This book was released on 1980 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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 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 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 Visual Information Retrieval using Java and LIRE by : Mathias Lux
Download or read book Visual Information Retrieval using Java and LIRE written by Mathias Lux and published by Morgan & Claypool Publishers. This book was released on 2013-01-01 with total page 115 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.
Book Synopsis Information Retrieval by : Ayse Goker
Download or read book Information Retrieval written by Ayse Goker and published by John Wiley & Sons. This book was released on 2009-12-15 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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 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 Information Retrieval Architecture and Algorithms by : Gerald Kowalski
Download or read book Information Retrieval Architecture and Algorithms written by Gerald Kowalski and published by Springer Science & Business Media. This book was released on 2010-12-01 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Bubble World - A Novel Visual Information Retrieval Technique by : Christopher L. Van Berendonck
Download or read book Bubble World - A Novel Visual Information Retrieval Technique written by Christopher L. Van Berendonck and published by . This book was released on 2002-03-01 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the tremendous growth of published electronic information sources in the last decade and the unprecedented reliance on this information to succeed in day-to-day operations, comes the expectation of finding the right information at the right time. Sentential interfaces are currently the only viable solution for searching through large infospheres of unstructured information, however, the simplistic nature of their interaction model and lack of cognitive amplification they can provide severely limit the performance of the interface. Visual information retrieval systems are emerging as possible candidate replacements for the more traditional interfaces, but many lack the cognitive framework to support the knowledge crystallization process found to be essential in information retrieval. This work introduces a novel visual information retrieval technique crafted from two distinct design genres: (1) the cognitive strategies of the human mind to solve problems and (2) observed interaction patterns with existing information retrieval systems. Based on the cognitive and interaction framework developed in this research, a functional prototype information retrieval system, called Bubble World, has been created to demonstrate that significant performance gains can be achieved using this technique when compared to more traditional text-based interfaces. Bubble World does this by successfully transforming the internal mental representation of the information retrieval problem to an efficient external view, and then through visual cues, provides cognitive amplification at key stages of the information retrieval process. Additionally, Bubble World provides the interaction model and the mechanisms to incorporate complex search schemas into the retrieval process either manually or automatically through the use of predefined ontological models.
Book Synopsis Visual Information Retrieval Using Java and LIRE by : Mathias Lux
Download or read book Visual Information Retrieval Using Java and LIRE written by Mathias Lux and published by Morgan & Claypool Publishers. This book was released on 2013 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focuses on a subset of visual information retrieval (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). The book presents an implementation-oriented overview of CBIR concepts, techniques, algorithms, and figures of merit.
Book Synopsis Interactive Information Seeking, Behaviour and Retrieval by : Ian Ruthven
Download or read book Interactive Information Seeking, Behaviour and Retrieval written by Ian Ruthven and published by Facet Publishing. This book was released on 2011 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information retrieval (IR) is a complex human activity supported by sophisticated systems. Information science has contributed much to the design and evaluation of previous generations of IR system development and to our general understanding of how such systems should be designed and yet, due to the increasing success and diversity of IR systems, many recent textbooks concentrate on IR systems themselves and ignore the human side of searching for information. This book is the first text to provide an information science perspective on IR. Unique in its scope, the book covers the whole spectrum of information retrieval, including: history and background information behaviour and seeking task-based information searching and retrieval approaches to investigating information interaction and behaviour information representation access models evaluation interfaces for IR interactive techniques web retrieval, ranking and personalization recommendation, collaboration and social search multimedia: interfaces and access. Readership: Senior undergraduates and masters' level students of all information and library studies courses and practising LIS professionals who need to better appreciate how IR systems are designed, implemented and evaluated.
Download or read book ImageCLEF written by Henning Müller and published by Springer Science & Business Media. This book was released on 2010-08-20 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: The pervasive creation and consumption of content, especially visual content, is ingrained into our modern world. We’re constantly consuming visual media content, in printed form and in digital form, in work and in leisure pursuits. Like our cave– man forefathers, we use pictures to record things which are of importance to us as memory cues for the future, but nowadays we also use pictures and images to document processes; we use them in engineering, in art, in science, in medicine, in entertainment and we also use images in advertising. Moreover, when images are in digital format, either scanned from an analogue format or more often than not born digital, we can use the power of our computing and networking to exploit images to great effect. Most of the technical problems associated with creating, compressing, storing, transmitting, rendering and protecting image data are already solved. We use - cepted standards and have tremendous infrastructure and the only outstanding ch- lenges, apart from managing the scale issues associated with growth, are to do with locating images. That involves analysing them to determine their content, clas- fying them into related groupings, and searching for images. To overcome these challenges we currently rely on image metadata, the description of the images, - ther captured automatically at creation time or manually added afterwards.
Book Synopsis Human Perception of Visual Information by : Bogdan Ionescu
Download or read book Human Perception of Visual Information written by Bogdan Ionescu and published by Springer Nature. This book was released on 2022-01-01 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent years have witnessed important advancements in our understanding of the psychological underpinnings of subjective properties of visual information, such as aesthetics, memorability, or induced emotions. Concurrently, computational models of objective visual properties such as semantic labelling and geometric relationships have made significant breakthroughs using the latest achievements in machine learning and large-scale data collection. There has also been limited but important work exploiting these breakthroughs to improve computational modelling of subjective visual properties. The time is ripe to explore how advances in both of these fields of study can be mutually enriching and lead to further progress. This book combines perspectives from psychology and machine learning to showcase a new, unified understanding of how images and videos influence high-level visual perception - particularly interestingness, affective values and emotions, aesthetic values, memorability, novelty, complexity, visual composition and stylistic attributes, and creativity. These human-based metrics are interesting for a very broad range of current applications, ranging from content retrieval and search, storytelling, to targeted advertising, education and learning, and content filtering. Work already exists in the literature that studies the psychological aspects of these notions or investigates potential correlations between two or more of these human concepts. Attempts at building computational models capable of predicting such notions can also be found, using state-of-the-art machine learning techniques. Nevertheless their performance proves that there is still room for improvement, as the tasks are by nature highly challenging and multifaceted, requiring thought on both the psychological implications of the human concepts, as well as their translation to machines.
Book Synopsis Image Retrieval by : Corinne Jörgensen
Download or read book Image Retrieval written by Corinne Jörgensen and published by Scarecrow Press. This book was released on 2003 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: When you hear the term "image management," do you think of making a good impression? Or taking good care of Impressionists? If the latter, this book is for you Vast collections of images exist in a wide range of organizations and institutions, and on the Internet. Some of these images are difficult to track down; others are just too large, too small, too valuable, or too fragile to access directly. In this introductory text to the field, Jorgensen describes the theoretical, empirical, and pragmatic underpinnings of storage and retrieval as they apply to a variety of visual formats.
Book Synopsis Content Based Image Retrieval by : Fouad Sabry
Download or read book Content Based Image Retrieval written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2024-05-09 with total page 91 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is Content Based Image Retrieval Content-based image retrieval, also known as query by image content and content-based visual information retrieval (CBVIR), is the application of computer vision techniques to the problem of image retrieval, which is the difficulty of searching for digital images in big databases. Other names for this technique include content-based visual information retriev. In contrast to the conventional concept-based methods, content-based picture retrieval is a more recent development. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Content-based image retrieval Chapter 2: Information retrieval Chapter 3: Image retrieval Chapter 4: Automatic image annotation Chapter 5: Tag cloud Chapter 6: Video search engine Chapter 7: Image organizer Chapter 8: Image meta search Chapter 9: Reverse image search Chapter 10: Visual search engine (II) Answering the public top questions about content based image retrieval. (III) Real world examples for the usage of content based image retrieval in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Content Based Image Retrieval.
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.
