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Multimedia Content Analysis: Signals and Communication Technology

Autor Jens-Rainer Ohm
en Limba Engleză Paperback – 7 iun 2018
This textbook covers the theoretical backgrounds and practical aspects of image, video and audio feature expression, e.g., color, texture, edge, shape, salient point and area, motion, 3D structure, audio/sound in time, frequency and cepstral domains, structure and melody. Up-to-date algorithms for estimation, search, classification and compact expression of feature data are described in detail. Concepts of signal decomposition (such as segmentation, source tracking and separation), as well as composition, mixing, effects, and rendering, are discussed. Numerous figures and examples help to illustrate the aspects covered. The book was developed on the basis of a graduate-level university course, and most chapters are supplemented by problem-solving exercises. The book is also a self-contained introduction both for researchers and developers of multimedia content analysis systems in industry.   
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Specificații

ISBN-13: 9783662570852
ISBN-10: 3662570858
Ilustrații: X, 417 p. 171 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.59 kg
Ediția:Softcover reprint of the original 1st ed. 2016
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Signals and Communication Technology

Locul publicării:Berlin, Heidelberg, Germany

Cuprins

Introduction.- Preprocessing.- Signal and Parameter Estimation.- Features of Multimedia Signals.- Feature Transforms and Classification.- Signal Decomposition.- Signal Composition, Rendering and Presentation.

Notă biografică

Jens Rainer Ohm graduated in Electrical Engineering at TU Berlin. After his habilitations he became project coordinator at Fraunhofer Heinrich Hertz Institute, Berlin. Since 2000 Jens Ohm is Chair for Communications Engineering and Head of the Institute for Communications Engineering at Aachen University.

Textul de pe ultima copertă

This textbook covers the theoretical backgrounds and practical aspects of image, video and audio feature expression, e.g., color, texture, edge, shape, salient point and area, motion, 3D structure, audio/sound in time, frequency and cepstral domains, structure and melody. Up-to-date algorithms for estimation, search, classification and compact expression of feature data are described in detail. Concepts of signal decomposition (such as segmentation, source tracking and separation), as well as composition, mixing, effects, and rendering, are discussed. Numerous figures and examples help to illustrate the aspects covered. The book was developed on the basis of a graduate-level university course, and most chapters are supplemented by problem-solving exercises. The book is also a self-contained introduction both for researchers and developers of multimedia content analysis systems in industry.  

Caracteristici

Establishes a unique view of content analysis over image, video and audio signals, implicitly opening the path towards multimodality Treats up-to-date computer vision algorithms with emphasis on analyzing and searching for content in multimedia applications, but not restricted to those Links feature analysis with concepts from information theory, to support efficient representation and compression of feature data, as well as efficient search and classification Includes supplementary material: sn.pub/extras