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Multimedia Content Analysis (Paperback, Softcover reprint of the original 1st ed. 2016) Loot Price: R3,963
Discovery Miles 39 630
Multimedia Content Analysis (Paperback, Softcover reprint of the original 1st ed. 2016): Jens-Rainer Ohm

Multimedia Content Analysis (Paperback, Softcover reprint of the original 1st ed. 2016)

Jens-Rainer Ohm

Series: Signals and Communication Technology

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Loot Price R3,963 Discovery Miles 39 630 | Repayment Terms: R371 pm x 12*

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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.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Signals and Communication Technology
Release date: June 2018
First published: 2016
Authors: Jens-Rainer Ohm
Dimensions: 235 x 155 x 22mm (L x W x T)
Format: Paperback
Pages: 417
Edition: Softcover reprint of the original 1st ed. 2016
ISBN-13: 978-3-662-57085-2
Categories: Books > Reference & Interdisciplinary > Communication studies > Information theory > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > General
Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General
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LSN: 3-662-57085-8
Barcode: 9783662570852

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