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Underwater images are most often degraded by color shifts, blurring and brightening effects. The presented approach is based on a problem-specific physical model of under water image formation. Thereon, methods of image restoration and image data retrieval are presented, which invert image degradation processes. Hence, it is possible to enhance image quality with model knowledge under different image acquisition conditions.
data retrieval --- image enhancement --- modeling --- image restoration --- Unterwasser --- signal processing --- Modelierung --- Bildverbesserung --- Bildrestauration --- Signalverarbeitung --- Bildgewinnung
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Archives bring to mind rooms filled with old papers and dusty artifacts. But for scientists, the detritus of the past can be a treasure trove of material vital to present and future research: fossils collected by geologists; data banks assembled by geneticists; case histories published in medical journals; weather diaries and data silos trawled by climate scientists; libraries visited by historians. These are the vital collections, assembled and maintained over millennia, which define the sciences of the archives. With 'Science in the Archives', Lorraine Daston offers the first study of the important role that these archives play in the natural and human sciences. Ranging across disciplines and centuries, contributors cover episodes in the history of astronomy, geology, genetics, philology, climatology, medicine, and more - as well as fundamental practices such as collecting, retrieval, and data mining. Chapters cover topics ranging from doxology in Greco-Roman antiquity to NSA surveillance techniques of the twenty-first century. Thoroughly exploring the practices, politics, economics, and potential of the sciences of the archives, this volume reveals the essential historical dimension of the sciences, while also adding a much-needed long term perspective to contemporary debates over the uses of Big Data in science.
Scientific archives --- Science --- Archives --- History --- Scientific archives. --- History. --- Big Data. --- collections. --- data retrieval. --- databases. --- libraries. --- scientific archives.
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The book presents several advances in different research areas related to data storage, from the design of a hierarchical memory subsystem in embedded signal processing systems for data-intensive applications, through data representation in flash memories, data recording and retrieval in conventional optical data storage systems and the more recent holographic systems, to applications in medicine requiring massive image databases.
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Accidental Information Discovery: Cultivating Serendipity in the Digital Age provides readers with an interesting discussion on the ways serendipity—defined as the accidental discovery of valued information—plays an important role in creative problem-solving. This insightful resource brings together discussions on serendipity and information discovery, research in computer and information science, and interesting thoughts on the creative process. Five thorough chapters explore the significance of serendipity in creativity and innovation, the characteristics of serendipity-friendly tools and minds, and how future discovery environments may encourage serendipity. Examines serendipity in a multidisciplinary context Bridges theory and practice Explores digital information landscapes of the future with essays from current researchers Brings the concept of accidental discovery and its value front and center
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"The aim of this book is to provide a basis for understanding recent developments in the field and to outline directions for information search technologies. The text presents significant contributions to the research community and industry, covering topics such as the semantic search, natural language processing, parallel information retrieval, image and multimedia retrieval, text categorisation, context technology, cross-language retrieval, and mobile information services. The book is a balanced mixture of theory, practice, tools and applications"--Provided by publisher. "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"--Provided by publisher.
Information retrieval. --- Information retrieval --- Data retrieval --- Data storage --- Discovery, Information --- Information discovery --- Information storage and retrieval --- Retrieval of information --- Documentation --- Information science --- Information storage and retrieval systems
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This collection of books brings some of the latest developments in the field of watermarking. Researchers from varied background and expertise propose a remarkable collection of chapters to render this work an important piece of scientific research. The chapters deal with a gamut of fields where watermarking can be used to encode copyright information. The work also presents a wide array of algorithms ranging from intelligent bit replacement to more traditional methods like ICA. The current work is split into two books. Book one is more traditional in its approach dealing mostly with image watermarking applications. Book two deals with audio watermarking and describes an array of chapters on performance analysis of algorithms.
Information retrieval. --- Data retrieval --- Data storage --- Discovery, Information --- Information discovery --- Information storage and retrieval --- Retrieval of information --- Documentation --- Information science --- Information storage and retrieval systems --- Information retrieval
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Due to the development of mobile and Web 2.0 technology, knowledge transfer, storage and retrieval have become much more rapid. In recent years, there have been more and more new and interesting findings in the research field of knowledge management. This book aims to introduce readers to the recent research topics, it is titled "New Research on Knowledge Management Applications and Lesson Learned" and includes 14 chapters. This book focuses on introducing the applications of KM technologies and methods to various fields. It shares the practical experiences and limitations of those applications. It is expected that this book provides relevant information about new research trends in comprehensive and novel knowledge management studies, and that it serves as an important resource for researchers, teachers and students, and for the development of practices in the knowledge management field.
Information retrieval. --- Data retrieval --- Data storage --- Discovery, Information --- Information discovery --- Information storage and retrieval --- Retrieval of information --- Documentation --- Information science --- Information storage and retrieval systems --- Information retrieval
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