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Multimedia Content Analysis [electronic resource] / by Jens Ohm.

By: Contributor(s): Material type: TextSeries: Signals and Communication TechnologyPublisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2016Description: X, 417 p. 171 illus. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783662528280
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 621.382 23
Online resources:
Contents:
Introduction -- Preprocessing -- Signal and Parameter Estimation -- Features of Multimedia Signals -- Feature Transforms and Classification -- Signal Decomposition -- Signal Composition, Rendering and Presentation.
In: Springer eBooksSummary: 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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Introduction -- Preprocessing -- Signal and Parameter Estimation -- Features of Multimedia Signals -- Feature Transforms and Classification -- Signal Decomposition -- Signal Composition, Rendering and Presentation.

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. .