Multimedia Content Analysis
Springer | Signals & Communication | July 11 2016 | ISBN-10: 3662528266 | 417 pages | pdf | 8.35 mb
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
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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