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Adaptive Multimedia Retrieval Large Scale Multimedia Retrieval And Evaluation
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Book Synopsis Adaptive Multimedia Retrieval. Large-Scale Multimedia Retrieval and Evaluation by : Marcin Detyniecki
Download or read book Adaptive Multimedia Retrieval. Large-Scale Multimedia Retrieval and Evaluation written by Marcin Detyniecki and published by Springer. This book was released on 2013-03-15 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed post-proceedings of the 9th International Conference on Adaptive Multimedia Retrieval, AMR 2011, held in Barcelona, Spain, in July 2011. The 9 revised full papers and the invited contribution presented were carefully reviewed and selected from numerous submissions. The papers cover topics ranging from theoretical work to practical implementations and its evaluation, most of them dealing with audio or music media. They are organized in topical sections on evaluation and user studies, audio and music, image retrieval, and similarity and music.
Book Synopsis Adaptive Multimedia Retrieval. Understanding Media and Adapting to the User by : Marcin Detyniecki
Download or read book Adaptive Multimedia Retrieval. Understanding Media and Adapting to the User written by Marcin Detyniecki and published by Springer. This book was released on 2011-01-14 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Adaptive Multimedia Retrieval: User, Context, and Feedback by : Marcin Detyniecki
Download or read book Adaptive Multimedia Retrieval: User, Context, and Feedback written by Marcin Detyniecki and published by Springer. This book was released on 2006-02-14 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Machine Learning Techniques for Adaptive Multimedia Retrieval: Technologies Applications and Perspectives by : Wei, Chia-Hung
Download or read book Machine Learning Techniques for Adaptive Multimedia Retrieval: Technologies Applications and Perspectives written by Wei, Chia-Hung and published by IGI Global. This book was released on 2010-10-31 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.
Book Synopsis Adaptive Multimedia Retrieval: Semantics, Context, and Adaptation by : Andreas Nürnberger
Download or read book Adaptive Multimedia Retrieval: Semantics, Context, and Adaptation written by Andreas Nürnberger and published by Springer. This book was released on 2014-10-29 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Adaptive Multimedia Retrieval: Retrieval, User, and Semantics by : Nozha Boujemaa
Download or read book Adaptive Multimedia Retrieval: Retrieval, User, and Semantics written by Nozha Boujemaa and published by Springer. This book was released on 2008-06-24 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Adaptive Multimedia Retrieval by : Andreas Nürnberger
Download or read book Adaptive Multimedia Retrieval written by Andreas Nürnberger and published by Springer Science & Business Media. This book was released on 2004-06-16 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Adaptive Multimedia Retrieval. Context, Exploration and Fusion by : Marcin Detyniecki
Download or read book Adaptive Multimedia Retrieval. Context, Exploration and Fusion written by Marcin Detyniecki and published by Springer Science & Business Media. This book was released on 2012-01-09 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Adaptive Multimedia Retrieval:User, Context, and Feedback by : Stéphane Marchand-Maillet
Download or read book Adaptive Multimedia Retrieval:User, Context, and Feedback written by Stéphane Marchand-Maillet and published by Springer. This book was released on 2007-06-20 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Big Data Analytics for Large-Scale Multimedia Search by : Stefanos Vrochidis
Download or read book Big Data Analytics for Large-Scale Multimedia Search written by Stefanos Vrochidis and published by John Wiley & Sons. This book was released on 2019-05-28 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: A timely overview of cutting edge technologies for multimedia retrieval with a special emphasis on scalability The amount of multimedia data available every day is enormous and is growing at an exponential rate, creating a great need for new and more efficient approaches for large scale multimedia search. This book addresses that need, covering the area of multimedia retrieval and placing a special emphasis on scalability. It reports the recent works in large scale multimedia search, including research methods and applications, and is structured so that readers with basic knowledge can grasp the core message while still allowing experts and specialists to drill further down into the analytical sections. Big Data Analytics for Large-Scale Multimedia Search covers: representation learning, concept and event-based video search in large collections; big data multimedia mining, large scale video understanding, big multimedia data fusion, large-scale social multimedia analysis, privacy and audiovisual content, data storage and management for big multimedia, large scale multimedia search, multimedia tagging using deep learning, interactive interfaces for big multimedia and medical decision support applications using large multimodal data. Addresses the area of multimedia retrieval and pays close attention to the issue of scalability Presents problem driven techniques with solutions that are demonstrated through realistic case studies and user scenarios Includes tables, illustrations, and figures Offers a Wiley-hosted BCS that features links to open source algorithms, data sets and tools Big Data Analytics for Large-Scale Multimedia Search is an excellent book for academics, industrial researchers, and developers interested in big multimedia data search retrieval. It will also appeal to consultants in computer science problems and professionals in the multimedia industry.
Book Synopsis Research and Advanced Technology for Digital Libraries by : Stefan Gradmann
Download or read book Research and Advanced Technology for Digital Libraries written by Stefan Gradmann and published by Springer. This book was released on 2012-02-02 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the International Conference on Theory and Practice of Digital Libraries, TPDL 2011 - formerly known as ECDL (European Conference on Research and Advanced Technology for Digital Libraries) - held in Berlin, Germany, in September 2011. The 27 full papers, 13 short papers, 9 posters and 9 demos presented in this volume were carefully reviewed and selected from 162 initial submissions. In addition the book contains the abstract of 2 keynote speeches and an appendix stating information on the doctoral consortium, as well as the panel, which were held at the conference. The papers are grouped in topical sections on networked information, semantics and interoperability, systems and architectures, text and multimedia retrieval, collaborative information spaces, DL applications and legal aspects, user interaction and information visualization, user studies, archives and repositories, europeana, and preservation.
Book Synopsis Distributed Multimedia Retrieval Strategies for Large Scale Networked Systems by : Bharadwaj Veeravalli
Download or read book Distributed Multimedia Retrieval Strategies for Large Scale Networked Systems written by Bharadwaj Veeravalli and published by Springer Science & Business Media. This book was released on 2006-10-11 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: Several works on multimedia storage appear in literature today, but very little if any, have been devoted to handling long duration video retrieval, over large scale networks. Distributed retrieval of multimedia documents, especially the long duration documents, is an imperative step in rendering high-quality, high-fidelity, and cost-effective services for network service providers. Distributed Multimedia Retrieval Strategies for Large Scale Networked Systems presents an up-to-date research status in the domain of distributed video retrieval. This professional book will include several different techniques that are in place for long duration video retrieval. An experimentally tested technology under the JINI platform, demonstrates a practical working system which serves as a feasibility study, as well as the first step in realizing such a technology.
Book Synopsis Social Media Retrieval by : Naeem Ramzan
Download or read book Social Media Retrieval written by Naeem Ramzan and published by Springer Science & Business Media. This book was released on 2012-12-05 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive text/reference examines in depth the synergy between multimedia content analysis, personalization, and next-generation networking. The book demonstrates how this integration can result in robust, personalized services that provide users with an improved multimedia-centric quality of experience. Each chapter offers a practical step-by-step walkthrough for a variety of concepts, components and technologies relating to the development of applications and services. Topics and features: introduces the fundamentals of social media retrieval, presenting the most important areas of research in this domain; examines the important topic of multimedia tagging in social environments, including geo-tagging; discusses issues of personalization and privacy in social media; reviews advances in encoding, compression and network architectures for the exchange of social media information; describes a range of applications related to social media.
Book Synopsis Big Data Analytics for Large-Scale Multimedia Search by : Stefanos Vrochidis
Download or read book Big Data Analytics for Large-Scale Multimedia Search written by Stefanos Vrochidis and published by John Wiley & Sons. This book was released on 2019-03-18 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: A timely overview of cutting edge technologies for multimedia retrieval with a special emphasis on scalability The amount of multimedia data available every day is enormous and is growing at an exponential rate, creating a great need for new and more efficient approaches for large scale multimedia search. This book addresses that need, covering the area of multimedia retrieval and placing a special emphasis on scalability. It reports the recent works in large scale multimedia search, including research methods and applications, and is structured so that readers with basic knowledge can grasp the core message while still allowing experts and specialists to drill further down into the analytical sections. Big Data Analytics for Large-Scale Multimedia Search covers: representation learning, concept and event-based video search in large collections; big data multimedia mining, large scale video understanding, big multimedia data fusion, large-scale social multimedia analysis, privacy and audiovisual content, data storage and management for big multimedia, large scale multimedia search, multimedia tagging using deep learning, interactive interfaces for big multimedia and medical decision support applications using large multimodal data. Addresses the area of multimedia retrieval and pays close attention to the issue of scalability Presents problem driven techniques with solutions that are demonstrated through realistic case studies and user scenarios Includes tables, illustrations, and figures Offers a Wiley-hosted BCS that features links to open source algorithms, data sets and tools Big Data Analytics for Large-Scale Multimedia Search is an excellent book for academics, industrial researchers, and developers interested in big multimedia data search retrieval. It will also appeal to consultants in computer science problems and professionals in the multimedia industry.
Book Synopsis Foundations of Large-Scale Multimedia Information Management and Retrieval by : Edward Y. Chang
Download or read book Foundations of Large-Scale Multimedia Information Management and Retrieval written by Edward Y. Chang and published by Springer Science & Business Media. This book was released on 2011-08-27 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Foundations of Large-Scale Multimedia Information Management and Retrieval: Mathematics of Perception" covers knowledge representation and semantic analysis of multimedia data and scalability in signal extraction, data mining, and indexing. The book is divided into two parts: Part I - Knowledge Representation and Semantic Analysis focuses on the key components of mathematics of perception as it applies to data management and retrieval. These include feature selection/reduction, knowledge representation, semantic analysis, distance function formulation for measuring similarity, and multimodal fusion. Part II - Scalability Issues presents indexing and distributed methods for scaling up these components for high-dimensional data and Web-scale datasets. The book presents some real-world applications and remarks on future research and development directions. The book is designed for researchers, graduate students, and practitioners in the fields of Computer Vision, Machine Learning, Large-scale Data Mining, Database, and Multimedia Information Retrieval. Dr. Edward Y. Chang was a professor at the Department of Electrical & Computer Engineering, University of California at Santa Barbara, before he joined Google as a research director in 2006. Dr. Chang received his M.S. degree in Computer Science and Ph.D degree in Electrical Engineering, both from Stanford University.
Book Synopsis Multi-modal Hash Learning by : Lei Zhu
Download or read book Multi-modal Hash Learning written by Lei Zhu and published by Springer Nature. This book was released on 2023-08-04 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book systemically presents key concepts of multi-modal hashing technology, recent advances on large-scale efficient multimedia search and recommendation, and recent achievements in multimedia indexing technology. With the explosive growth of multimedia contents, multimedia retrieval is currently facing unprecedented challenges in both storage cost and retrieval speed. The multi-modal hashing technique can project high-dimensional data into compact binary hash codes. With it, the most time-consuming semantic similarity computation during the multimedia retrieval process can be significantly accelerated with fast Hamming distance computation, and meanwhile the storage cost can be reduced greatly by the binary embedding. The authors introduce the categorization of existing multi-modal hashing methods according to various metrics and datasets. The authors also collect recent multi-modal hashing techniques and describe the motivation, objective formulations, and optimization steps for context-aware hashing methods based on the tag-semantics transfer.
Book Synopsis Adaptive Resonance Theory in Social Media Data Clustering by : Lei Meng
Download or read book Adaptive Resonance Theory in Social Media Data Clustering written by Lei Meng and published by Springer. This book was released on 2019-04-30 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social media data contains our communication and online sharing, mirroring our daily life. This book looks at how we can use and what we can discover from such big data: Basic knowledge (data & challenges) on social media analytics Clustering as a fundamental technique for unsupervised knowledge discovery and data mining A class of neural inspired algorithms, based on adaptive resonance theory (ART), tackling challenges in big social media data clustering Step-by-step practices of developing unsupervised machine learning algorithms for real-world applications in social media domain Adaptive Resonance Theory in Social Media Data Clustering stands on the fundamental breakthrough in cognitive and neural theory, i.e. adaptive resonance theory, which simulates how a brain processes information to perform memory, learning, recognition, and prediction. It presents initiatives on the mathematical demonstration of ART’s learning mechanisms in clustering, and illustrates how to extend the base ART model to handle the complexity and characteristics of social media data and perform associative analytical tasks. Both cutting-edge research and real-world practices on machine learning and social media analytics are included in the book and if you wish to learn the answers to the following questions, this book is for you: How to process big streams of multimedia data? How to analyze social networks with heterogeneous data? How to understand a user’s interests by learning from online posts and behaviors? How to create a personalized search engine by automatically indexing and searching multimodal information resources? .
