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
This study of English Benedictine nuns is based upon a wide variety of original manuscripts, including chronicles, death notices, clerical instructions, texts of spiritual guidance, but also the nuns' own collections of notes. It highlights the tensions between the contemplative ideal and the nuns' personal experiences, illustrating the tensions between theory and practice in the ideal of being dead to the world. It shows how Benedictine convents were both cut-off and enclosed yet very much in touch with the religious and political developments at home, but also proposes a different approach to the history of nuns, with a study of emotions and the senses in the cloister, delving into the textual analysis of the nuns' personal and communal documents to explore aspect of a lived spirituality, when the body which so often hindered the spirit, at times enabled spiritual experience.
This book takes you on a journey into the world of business informatics. It has a modular structure and covers the key aspects of business informatics. Besides the thematic introductions, each chapter includes excursuses, review questions, and practical exercises, for which solutions are provided in a separate chapter. The book concludes with two teaching cases on digital transformation. It is designed for students and lecturers at universities and technical colleges, but also as a resource for IT trainings.
Between 1600 and 1800 around 4,000 Catholic women left England for a life of exile in the convents of France, Flanders, Portugal and America. These closed communities offered religious contemplation and safety, but also provided an environment of concentrated female intellectualism. The nuns’ writings from this time form a unique resource.
Written by the leading names in pediatric oncology and hematology, Nathan and Oski's Hematology and Oncology of Infancy and Childhood offers you the essential tools you need to overcome the unique challenges and complexities of childhood cancers and hematologic disorders. Meticulously updated, this exciting full-color set brings together the pathophysiology of disease with detailed clinical guidance to provide you with the most comprehensive, authoritative, up-to-date information for diagnosing and treating children. - Form a definitive diagnosis and create the best treatment plans possible with comprehensive coverage of all pediatric cancers, including less-common tumors, as well as all hematologic disorders, including newly recognized ones. - Develop a thorough, understanding of the underlying science of diseases through summaries of relevant pathophysiology balanced with clear, practical clinical guidance. Nathan and Oski's is the only comprehensive product on the market that relates pathophysiology in such depth to hematologic and oncologic diseases affecting children. - Quickly and effortlessly access the key information you need with the help of a consistent organization from chapter to chapter and from volume to volume. - Stay at the forefront of your field thanks to new and revised chapters covering topics such as paroxysmal nocturnal hemoglobinuria, lysosomal storage diseases, childhood genetic predisposition to cancer, and oncology informatics. - Learn about the latest breakthroughs in diagnosis and management, making this the most complete guide in pediatric hematology and oncology. - Discover the latest in focused molecularly targeted therapies derived from the exponential growth of knowledge about basic biology and genetics underlying the field. - Rely on it anytime, anywhere! Access the full text, images, and more at Expert Consult.
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.
This book gives an overview on fundamental issues within the field of multimedia metadata focusing on contextualized, ubiquitous, accessible and interoperable services on a higher semantic level. The book provides a selection of basic articles being a base for multimedia metadata research. Furthermore, it brings together experts from research and industry to present a view on the current state-of-the-art in recent research in Multimedia Semantics and the role of Metadata.
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