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Adaptive Multimedia Retrieval: Semantics, Context, and Adaptation

Adaptive Multimedia Retrieval: Semantics, Context, and Adaptation PDF Author: Andreas Nürnberger
Publisher: Springer
ISBN: 331912093X
Category : Computers
Languages : en
Pages : 291

Book Description
This book constitutes the thoroughly refereed post-conference proceedings of the 10th International Conference on Adaptive Multimedia Retrieval, AMR 2012, held in Copenhagen, Denmark, in October 2012. The 17 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers cover topics of state of the art contributions, features and classification, location context, language and semantics, music retrieval, and adaption and HCI.

Adaptive Multimedia Retrieval: Semantics, Context, and Adaptation

Adaptive Multimedia Retrieval: Semantics, Context, and Adaptation PDF Author: Andreas Nürnberger
Publisher: Springer
ISBN: 331912093X
Category : Computers
Languages : en
Pages : 291

Book Description
This book constitutes the thoroughly refereed post-conference proceedings of the 10th International Conference on Adaptive Multimedia Retrieval, AMR 2012, held in Copenhagen, Denmark, in October 2012. The 17 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers cover topics of state of the art contributions, features and classification, location context, language and semantics, music retrieval, and adaption and HCI.

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 : 276

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. Context, Exploration and Fusion

Adaptive Multimedia Retrieval. Context, Exploration and Fusion PDF Author: Marcin Detyniecki
Publisher: Springer Science & Business Media
ISBN: 3642271685
Category : Computers
Languages : en
Pages : 230

Book Description
This book constitutes the refereed proceedings of the 8th International Conference on Adaptive Multimedia Retrieval, AMR 2010, held in Linz, Austria, in August 2010. The 14 revised full papers and the invited contribution presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on Context-based personalization; media information fusion; video retrieval; audio and music retrieval; adaptive similarities; and finding and organizing.

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

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 Science & Business Media
ISBN: 3540321748
Category : Computers
Languages : en
Pages : 290

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: Nozha Boujemaa
Publisher:
ISBN: 9783540872757
Category :
Languages : en
Pages : 284

Book Description


Adaptive Multimedia Retrieval. Understanding Media and Adapting to the User

Adaptive Multimedia Retrieval. Understanding Media and Adapting to the User PDF Author: Marcin Detyniecki
Publisher: Springer
ISBN: 3642184499
Category : Computers
Languages : en
Pages : 159

Book Description
This book constitutes the refereed proceedings of the 7th International Conference on Adaptive Multimedia Retrieval, AMR 2009, held in Madrid, Spain, in September 2009. The 12 revised full papers and the invited contribution presented were carefully reviewed. The papers are organized in topical sections on grasping multimedia streams; pinpointing music; adapting distances; understanding images; and around the user.

Adaptive Multimedia Retrieval: Identifying, Summarizing, and Recommending Image and Music

Adaptive Multimedia Retrieval: Identifying, Summarizing, and Recommending Image and Music PDF Author: Marcin Detyniecki
Publisher: Springer
ISBN: 3642147585
Category : Computers
Languages : en
Pages : 185

Book Description
This volume constitutes the refereed proceedings of the 6th International Workshop on Adaptive Multimedia Retrieval, AMR 2008, held in Berlin, Germany, in June 2008.

Music Similarity and Retrieval

Music Similarity and Retrieval PDF Author: Peter Knees
Publisher: Springer
ISBN: 3662497220
Category : Computers
Languages : en
Pages : 299

Book Description
This book provides a summary of the manifold audio- and web-based approaches to music information retrieval (MIR) research. In contrast to other books dealing solely with music signal processing, it addresses additional cultural and listener-centric aspects and thus provides a more holistic view. Consequently, the text includes methods operating on features extracted directly from the audio signal, as well as methods operating on features extracted from contextual information, either the cultural context of music as represented on the web or the user and usage context of music. Following the prevalent document-centered paradigm of information retrieval, the book addresses models of music similarity that extract computational features to describe an entity that represents music on any level (e.g., song, album, or artist), and methods to calculate the similarity between them. While this perspective and the representations discussed cannot describe all musical dimensions, they enable us to effectively find music of similar qualities by providing abstract summarizations of musical artifacts from different modalities. The text at hand provides a comprehensive and accessible introduction to the topics of music search, retrieval, and recommendation from an academic perspective. It will not only allow those new to the field to quickly access MIR from an information retrieval point of view but also raise awareness for the developments of the music domain within the greater IR community. In this regard, Part I deals with content-based MIR, in particular the extraction of features from the music signal and similarity calculation for content-based retrieval. Part II subsequently addresses MIR methods that make use of the digitally accessible cultural context of music. Part III addresses methods of collaborative filtering and user-aware and multi-modal retrieval, while Part IV explores current and future applications of music retrieval and recommendation.>

Machine Intelligence and Big Data in Industry

Machine Intelligence and Big Data in Industry PDF Author: Dominik Ryżko
Publisher: Springer
ISBN: 3319303155
Category : Technology & Engineering
Languages : en
Pages : 236

Book Description
This book presents valuable contributions devoted to practical applications of Machine Intelligence and Big Data in various branches of the industry. All the contributions are extended versions of presentations delivered at the Industrial Session the 6th International Conference on Pattern Recognition and Machine Intelligence (PREMI 2015) held in Warsaw, Poland at June 30- July 3, 2015, which passed through a rigorous reviewing process. The contributions address real world problems and show innovative solutions used to solve them. This volume will serve as a bridge between researchers and practitioners, as well as between different industry branches, which can benefit from sharing ideas and results.“/p>