Автор: Henning M?ller; Tanveer Syeda-Mahmood; James Dunca Название: Medical Content-Based Retrieval for Clinical Decision Support ISBN: 3642117686 ISBN-13(EAN): 9783642117688 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the first MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR_CBS 2009, held in London, UK, in September 2009. This book includes the papers that are divided on several topics on medical image retrieval, clinical decision making and multimodal fusion.
Описание: This book initially reviews the major feature representation and extraction methods and effective learning and recognition approaches, which have broad applications in the context of intelligent image search and video retrieval.
Автор: Milan Petkovic; Willem Jonker Название: Content-Based Video Retrieval ISBN: 1441953965 ISBN-13(EAN): 9781441953964 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing is an up-to-date overview of audio and video content analysis.
Автор: Hayit Greenspan; Henning M?ller; Tanveer Syeda-Mah Название: Medical Content-Based Retrieval for Clinical Decision Support ISBN: 3642366775 ISBN-13(EAN): 9783642366772 Издательство: Springer Рейтинг: Цена: 6429.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Workshop Overview.- Overview of the Third Workshop on Medical Content-Based Retrieval for Clinical Decision Support (MCBR-CDS 2012).- Invited Talk.- A Polynomial Model of Surgical Gestures for Real-Time Retrieval of Surgery Videos.- Methods.- Exploiting 3D Part-Based Analysis, Description and Indexing to Support Medical Applications.- Skull Retrieval for Craniosynostosis Using Sparse Logistic Regression Models.- 3D/4D Data Retrieval.- Retrieval of 4D Dual Energy CT for Pulmonary Embolism Diagnosis.- Immediate ROI Search for 3-D Medical Images.- The Synergy of 3D SIFT and Sparse Codes for Classification of Viewpoints from Echocardiogram Videos.- Assessing the Classification of Liver Focal Lesions by Using Multi-phase Computer Tomography Scans.- Invited Talk.- VISCERAL: Towards Large Data in Medical Imaging - Challenges and Directions.- Visual Features.- Customised Frequency Pre-filtering in a Local Binary Pattern-Based Classification of Gastrointestinal Images.- Bag-of-Colors for Biomedical Document Image Classification.- Multimodal Retrieval.- An SVD-Bypass Latent Semantic Analysis for Image Retrieval.- Multimedia Retrieval in a Medical Image Collection: Results Using Modality Classes.
Автор: Rik Das, Sourav De, Siddhartha Bhattacharyya Название: Feature Dimension Reduction for Content-Based Image Identification ISBN: 152255775X ISBN-13(EAN): 9781522557753 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 31324.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Image data has portrayed immense potential as a foundation of information for numerous applications. Recent trends in multimedia computing have witnessed a rapid growth in digital image collections, resulting in a need for increased image data management.Feature Dimension Reduction for Content-Based Image Identification is a pivotal reference source that explores the contemporary trends and techniques of content-based image recognition. Including research covering topics such as feature extraction, fusion techniques, and image segmentation, this book explores different theories to facilitate timely identification of image data and managing, archiving, maintaining, and extracting information. This book is ideally designed for engineers, IT specialists, researchers, academicians, and graduate-level students seeking interdisciplinary research on image processing and analysis.
Автор: Jenny Benois-Pineau; Patrick Le Callet Название: Visual Content Indexing and Retrieval with Psycho-Visual Models ISBN: 3319576860 ISBN-13(EAN): 9783319576862 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a deep analysis and wide coverage of the very strong trend in computer vision and visual indexing and retrieval, covering such topics as incorporation of models of Human Visual attention into analysis and retrieval tasks.
Автор: Jenny Benois-Pineau; Patrick Le Callet Название: Visual Content Indexing and Retrieval with Psycho-Visual Models ISBN: 3319862243 ISBN-13(EAN): 9783319862248 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Поставка под заказ.
Описание: This book provides a deep analysis and wide coverage of the very strong trend in computer vision and visual indexing and retrieval, covering such topics as incorporation of models of Human Visual attention into analysis and retrieval tasks.
Автор: B B Chaudhuri Название: Advances in Digital Document Processing and Retrieval ISBN: 9814368709 ISBN-13(EAN): 9789814368704 Издательство: World Scientific Publishing Рейтинг: Цена: 17741.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Suitable for both students and researchers working on various aspects of document image analysis and recognition problems, this title covers such topics as: Going beyond the Myth of Paperlessness, The Role of Document Image Analysis in Trustworthy Elections as well as Word Recognition for Museum Index Cards with SNT-Grid.
Описание: Machine Learning and Statistical Modeling Approaches to Image Retrieval describes several approaches of integrating machine learning and statistical modeling into an image retrieval and indexing system that demonstrates promising results.
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.
Описание: This book initially reviews the major feature representation and extraction methods and effective learning and recognition approaches, which have broad applications in the context of intelligent image search and video retrieval.
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