Video Object Extraction and Representation, I-Jong Lin; S.Y. Kung
Автор: Rongrong Ji Название: Learning-Based Local Visual Representation and Indexing ISBN: 0128024097 ISBN-13(EAN): 9780128024096 Издательство: Elsevier Science Рейтинг: Цена: 5051.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Learning-Based Local Visual Representation and Indexing, reviews the state-of-the-art in visual content representation and indexing, introduces cutting-edge techniques in learning based visual representation, and discusses emerging topics in visual local representation, and introduces the most recent advances in content-based visual search techniques.
Описание: If digitisation is done by real sensor devices, then there is the additional difficulty of sensor distortion. This volume gives an overview and a classification of the actual approaches to describe the relation between continuous and discrete shape features that are based on digital geometric concepts of discrete structures.
Описание: This unique text/reference presents a comprehensive review of the state of the art in sparse representations, modeling and learning. covers feature representation and learning, sparsity induced similarity, and sparse representation and learning-based classifiers;
Автор: Isabelle Guyon; Steve Gunn; Masoud Nikravesh; Loft Название: Feature Extraction ISBN: 366251771X ISBN-13(EAN): 9783662517710 Издательство: Springer Рейтинг: Цена: 41787.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is both a reference for engineers and scientists and a teaching resource, featuring tutorial chapters and research papers on feature extraction. Until now there has been insufficient consideration of feature selection algorithms, no unified presentation of leading methods, and no systematic comparisons.
Автор: I-Jong Lin; S.Y. Kung Название: Video Object Extraction and Representation ISBN: 0792379748 ISBN-13(EAN): 9780792379744 Издательство: Springer Рейтинг: Цена: 19559.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Focuses upon two problems at the heart of the algorithmic/computational infrastructure: video object extraction, or how to automatically package raw visual information by content; and video object representation, or how to automatically index and catalogue extracted content for browsing and retrieval.
Автор: Jean Ponce; Andrew Zisserman; Martial Hebert Название: Object Representation in Computer Vision II ISBN: 3540617507 ISBN-13(EAN): 9783540617501 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The 15 revised full papers contained in this book were selected from submissions for presentation at the workshop. Included are three invited contributions based on the talks by Takeo Kanade, Jan Koenderink, and Ram Nevatia, and a workshop report summarizing several panel discussions.
Автор: V.V. Alexandrov; Gorsky Название: Image Representation and Processing ISBN: 9401047669 ISBN-13(EAN): 9789401047661 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Recently, much attention has been paid to image processing with multiresolution and hierarchical structures such as pyramids and trees. This volume deals with recursive pyramids, which combine the advantages of available multiresolution structures and which are convenient both for global and local image processing.
Автор: Luc Florack; Remco Duits; Geurt Jongbloed; Marie-C Название: Mathematical Methods for Signal and Image Analysis and Representation ISBN: 1447158903 ISBN-13(EAN): 9781447158905 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a mathematical methodology for image analysis tasks at the edge of current research, including anisotropic diffusion filtering of tensor fields. Instead of specific applications, it explores methodological structures on which they are built.
Описание: This book constitutes the refereed proceedings of the 13th International Conference entitled Beyond Databases, Architectures and Structures, BDAS 2017, held in Ustron, Poland, in May/June 2017.It consists of 44 carefully reviewed papers selected from 118 submissions.
Описание: Semantic object extraction is an essential element in content-based multimedia services, such as the newly developed MPEG4 and MPEG7 standards. This title provides a review of techniques as well as describing several novel ideas and algorithms for semantic object extraction from image sequences.
Описание: Advancements in digital sensor technology, digital image analysis techniques, as well as computer software and hardware have brought together the fields of computer vision and photogrammetry, which are now converging towards sharing, to a great extent, objectives and algorithms.
Описание: Information extraction (IE) is a technology enabling the relevant content to be extracted from textual information available electronically. This monograph is devoted to this field and should be of interest to those working in information processing technology.
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