Adaptive Multimedia Retrieval:User, Context, and Feedback

Adaptive Multimedia Retrieval:User, Context, and Feedback PDF Author: Stéphane Marchand-Maillet
Publisher: Springer
ISBN: 3540715452
Category : Computers
Languages : en
Pages : 279

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Book Description
This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop on Adaptive Multimedia Retrieval, AMR 2006, held in Geneva, Switzerland in July 2006. The papers cover ontology-based retrieval and annotation, ranking and similarity measurements, music information retrieval, visual modeling, adaptive retrieval, structuring multimedia, as well as user integration and profiling.

Adaptive Multimedia Retrieval:User, Context, and Feedback

Adaptive Multimedia Retrieval:User, Context, and Feedback PDF Author: Stéphane Marchand-Maillet
Publisher: Springer
ISBN: 3540715452
Category : Computers
Languages : en
Pages : 279

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Book Description
This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop on Adaptive Multimedia Retrieval, AMR 2006, held in Geneva, Switzerland in July 2006. The papers cover ontology-based retrieval and annotation, ranking and similarity measurements, music information retrieval, visual modeling, adaptive retrieval, structuring multimedia, as well as user integration and profiling.

Adaptive Multimedia Retrieval: Retrieval, User, and Semantics

Adaptive Multimedia Retrieval: Retrieval, User, and Semantics PDF Author: Nozha Boujemaa
Publisher: Springer Science & Business Media
ISBN: 3540798595
Category : Computers
Languages : en
Pages : 276

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Book Description
This book constitutes the thoroughly refereed post-workshop proceedings of the 5th International Workshop on Adaptive Multimedia Retrieval, AMR 2007, held in Paris, France, in July 2007. The 18 revised full papers presented together with 2 invited papers were carefully selected during two rounds of reviewing and improvement. The papers are organized in topical sections on image annotation, feedback and user modelling, music retrieval, fusion, P2P and middleware, databases and summarization, as well as ontology and semantics.

Adaptive Multimedia Retrieval: User, Context, and Feedback

Adaptive Multimedia Retrieval: User, Context, and Feedback PDF Author: Marcin Detyniecki
Publisher: Springer
ISBN: 3540321756
Category : Computers
Languages : en
Pages : 290

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Book Description
This book constitutes the thoroughly refereed post-proceedings of the Third International Workshop on Adaptive Multimedia Retrieval, held in September 2005. The 18 revised full papers presented were carefully selected during two rounds of reviewing and improvement. Also included are three invited papers by leading researchers in the area to illustrate the core topics of the workshop: User, Context and Feedback. The papers are organized in topical sections on ranking, systems, spatio-temporal relations, using feedback, using context, and meta data.

Adaptive Multimedia Retrieval

Adaptive Multimedia Retrieval PDF Author: Andreas Nürnberger
Publisher: Springer Science & Business Media
ISBN: 3540221638
Category : Computers
Languages : en
Pages : 237

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Book Description
This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Adaptive Multimedia Retrieval, AMR 2003, held in Hamburg, Germany in September 2003. The 12 revised full papers presented were carefully selected during two rounds of reviewing and improvement. Also included are three invited papers by leading researchers in the area to provide introductory and background information and to complete coverage of the relevant aspects. The papers are organized in topical sections on retrieval systems, texts and ontologies, feature extraction from video, image retrieval, and sound.

Machine Learning Techniques for Adaptive Multimedia Retrieval

Machine Learning Techniques for Adaptive Multimedia Retrieval PDF Author:
Publisher:
ISBN:
Category : Automatic indexing
Languages : en
Pages :

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Book Description
"This book disseminates current information on multimedia retrieval, advancing the field of multimedia databases, and educating the multimedia database community on machine learning techniques for adaptive multimedia retrieval research, design and applications"--Provided by publisher.

Multimedia Information Retrieval and Management

Multimedia Information Retrieval and Management PDF Author: David Feng
Publisher: Springer Science & Business Media
ISBN: 3662053004
Category : Technology & Engineering
Languages : en
Pages : 494

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Book Description
Everything you ever wanted to know about multimedia retrieval and management. This comprehensive book offers a full picture of the cutting-edge technologies necessary for a profound introduction to the field. Leading experts also cover a broad range of practical applications.

Multimedia Database Retrieval

Multimedia Database Retrieval PDF Author: Paisarn Muneesawang
Publisher: Springer
ISBN: 3319117823
Category : Computers
Languages : en
Pages : 356

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Book Description
This book explores multimedia applications that emerged from computer vision and machine learning technologies. These state-of-the-art applications include MPEG-7, interactive multimedia retrieval, multimodal fusion, annotation, and database re-ranking. The application-oriented approach maximizes reader understanding of this complex field. Established researchers explain the latest developments in multimedia database technology and offer a glimpse of future technologies. The authors emphasize the crucial role of innovation, inspiring users to develop new applications in multimedia technologies such as mobile media, large scale image and video databases, news video and film, forensic image databases and gesture databases. With a strong focus on industrial applications along with an overview of research topics, Multimedia Database Retrieval: Technology and Applications is an indispensable guide for computer scientists, engineers and practitioners involved in the development and use of multimedia systems. It also serves as a secondary text or reference for advanced-level students interested in multimedia technologies.

Multimodal Processing and Interaction

Multimodal Processing and Interaction PDF Author: Petros Maragos
Publisher: Springer Science & Business Media
ISBN: 0387763163
Category : Computers
Languages : en
Pages : 380

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Book Description
This volume presents high quality, state-of-the-art research ideas and results from theoretic, algorithmic and application viewpoints. It contains contributions by leading experts in the obsequious scientific and technological field of multimedia. The book specifically focuses on interaction with multimedia content with special emphasis on multimodal interfaces for accessing multimedia information. The book is designed for a professional audience composed of practitioners and researchers in industry. It is also suitable for advanced-level students in computer science.

Machine Learning Techniques for Adaptive Multimedia Retrieval: Technologies Applications and Perspectives

Machine Learning Techniques for Adaptive Multimedia Retrieval: Technologies Applications and Perspectives PDF Author: Wei, Chia-Hung
Publisher: IGI Global
ISBN: 1616928611
Category : Computers
Languages : en
Pages : 409

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Book Description
"This book disseminates current information on multimedia retrieval, advancing the field of multimedia databases, and educating the multimedia database community on machine learning techniques for adaptive multimedia retrieval research, design and applications"--Provided by publisher.

Advances in Semantic Media Adaptation and Personalization, Volume 2

Advances in Semantic Media Adaptation and Personalization, Volume 2 PDF Author: Marios C. Angelides
Publisher: CRC Press
ISBN: 1420076655
Category : Computers
Languages : en
Pages : 458

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Book Description
The emergence of content- and context-aware search engines, which not only personalize searching and delivery but also the content, has caused the emergence of new infrastructures capable of end-to-end ubiquitous transmission of personalized multimedia content to any device on any network at any time. Personalizing and adapting content requires pro