Multimedia Content Analysis

Author: Ajay Divakaran
Publisher: Springer Science & Business Media
ISBN: 0387765697
Format: PDF, Docs
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Multimedia Content Analysis: Theory and Applications covers the latest in multimedia content analysis and applications based on such analysis. As research has progressed, it has become clear that this field has to appeal to other disciplines such as psycho-physics, media production, etc. This book consists of invited chapters that cover the entire range of the field. Some of the topics covered include low-level audio-visual analysis based retrieval and indexing techniques, the TRECVID effort, video browsing interfaces, content creation and content analysis, and multimedia analysis-based applications, among others. The chapters are written by leading researchers in the multimedia field.

Multimedia Content Analysis

Author: Jens Ohm
Publisher: Springer
ISBN: 3662528282
Format: PDF, ePub, Mobi
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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.

Machine Learning for Multimedia Content Analysis

Author: Yihong Gong
Publisher: Springer Science & Business Media
ISBN: 0387699422
Format: PDF
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This volume introduces machine learning techniques that are particularly powerful and effective for modeling multimedia data and common tasks of multimedia content analysis. It systematically covers key machine learning techniques in an intuitive fashion and demonstrates their applications through case studies. Coverage includes examples of unsupervised learning, generative models and discriminative models. In addition, the book examines Maximum Margin Markov (M3) networks, which strive to combine the advantages of both the graphical models and Support Vector Machines (SVM).

Understanding Oriented Multimedia Content Analysis

Author: Zechao Li
Publisher: Springer
ISBN: 9811036896
Format: PDF
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This book offers a systematic introduction to an understanding-oriented approach to multimedia content analysis. It integrates the visual understanding and learning models into a unified framework, within which the visual understanding guides the model learning while the learned models improve the visual understanding. More specifically, it discusses multimedia content representations and analysis including feature selection, feature extraction, image tagging, user-oriented tag recommendation and understanding-oriented multimedia applications. The book was nominated by the University of Chinese Academy of Sciences and China Computer Federation as an outstanding PhD thesis. By providing the fundamental technologies and state-of-the-art methods, it is a valuable resource for graduate students and researchers working in the field computer vision and machine learning.

Multimedia Content Analysis and Mining

Author: Nicu Sebe
Publisher: Springer
ISBN: 3540734171
Format: PDF
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Prominent international experts came together to present and debate the latest findings in the field at the 2007 International Workshop on Multimedia Content Analysis and Mining. This volume includes forty-six papers from the workshop as well as thirteen invited papers. The papers cover a wide range of cutting-edge issues, including all aspects of multimedia in the fields of entertainment, commerce, science, medicine, and public safety.

TV Content Analysis

Author: Yiannis Kompatsiaris
Publisher: CRC Press
ISBN: 1466559128
Format: PDF, ePub, Mobi
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The rapid advancement of digital multimedia technologies has not only revolutionized the production and distribution of audiovisual content, but also created the need to efficiently analyze TV programs to enable applications for content managers and consumers. Leaving no stone unturned, TV Content Analysis: Techniques and Applications provides a detailed exploration of TV program analysis techniques. Leading researchers and academics from around the world supply scientifically sound treatment of recent developments across the related subject areas—including systems, architectures, algorithms, applications, research results, emerging approaches, and open issues. The book is organized into six parts: Content Extraction - deals with automatic analysis and annotation of TV content, addressing generic semantics and concepts as well as TV content Content Structuring - examines techniques for identifying interesting parts of TV programs and supplying direct access to it Content Recommendation - explores the problem of providing users with the most relevant content, addressing the problem of an ever-increasing amount of available content Content Quality - considers visual perception and quality approaches in the multi-display TV context and the specific mobile TV scenario Web and Social TV - presents studies on Web and TV convergence and on how user-generated content in Web 2.0 applications can be used to enhance services Content Production - covers postproduction, visual effects, and presentation standards Most parts start with a chapter that provides an overview of that area, followed by state-of-the-art approaches focusing on specific issues covered in that section. Reporting on recent advances in the field, the book provides you with the global view and up-to-date understanding of emerging trends needed to participate in the development of the digital TV domain.

Multimedia Content Analysis

Author: Douglas Flores
Publisher: Createspace Independent Publishing Platform
ISBN: 9781979480727
Format: PDF
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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.

Multimedia Content and the Semantic Web

Author: Giorgos Stamou
Publisher: John Wiley & Sons
ISBN: 0470857633
Format: PDF, Kindle
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The emerging idea of the semantic web is based on the maximum automation of the complete knowledge lifecycle processes: knowledge representation, acquisition, adaptation, reasoning, sharing and use. Text-based based browsers involve a costly information-retrieval process: descriptions are inherently subjective and usage is often confined to the specific application domain for which the descriptions were created. Automatic extracted audiovisual features are, in general, more objective, domain-independent and can be native to the audiovisual content. This book seeks to draw together in one concise volume the findings of leading researchers from around the globe. The focus, in particular, is on the MPEG-7 and MPEG-21 standards that seek to consolidate and render effective the infrastructure for the delivery and management of multimedia content. Provides thorough coverage of all relevant topics, including structure identification in audiovisual documents, object-based video indexing, multimedia indexing and retrieval using natural language, speech and image processing methods Contains detailed advice on ontology representation and querying for realizing semantics-driven applications Includes cutting-edge information on multimedia content description in MPEG-7 and MPEG-21 Illustrates all theory with real-world case studies gleaned from state-of-the-art worldwide research. The contributors are pioneers in the fields of multimedia analysis and knowledge technologies This unified, comprehensive up-to-date resource will appeal to integrators, systems suppliers, managers and consultants in the area of knowledge management and information retrieval; particularly those concerned with the automation of the semantic web. The detailed, theory-based practical advice is also essential reading for postgraduates and researchers in these fields.