Multimedia Retrieval
DOWNLOAD
Download Multimedia Retrieval PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Multimedia Retrieval book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Adaptive Multimedia Retrieval User Context And Feedback
DOWNLOAD
Author : Marcin Detyniecki
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-02-13
Adaptive Multimedia Retrieval User Context And Feedback written by Marcin Detyniecki and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-02-13 with Computers categories.
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.
Multimedia Retrieval
DOWNLOAD
Author : Henk M. Blanken
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-08-13
Multimedia Retrieval written by Henk M. Blanken and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-13 with Computers categories.
Based on more than 10 years of teaching experience, Blanken and his coeditors have assembled all the topics that should be covered in advanced undergraduate or graduate courses on multimedia retrieval and multimedia databases. The single chapters of this textbook explain the general architecture of multimedia information retrieval systems and cover various metadata languages such as Dublin Core, RDF, or MPEG. The authors emphasize high-level features and show how these are used in mathematical models to support the retrieval process. For each chapter, there’s detail on further reading, and additional exercises and teaching material is available online.
Machine Learning Techniques For Adaptive Multimedia Retrieval Technologies Applications And Perspectives
DOWNLOAD
Author : Wei, Chia-Hung
language : en
Publisher: IGI Global
Release Date : 2010-10-31
Machine Learning Techniques For Adaptive Multimedia Retrieval Technologies Applications And Perspectives written by Wei, Chia-Hung and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-10-31 with Computers categories.
"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.
Data Management For Multimedia Retrieval
DOWNLOAD
Author : K. Selçuk Candan
language : en
Publisher: Cambridge University Press
Release Date : 2010-05-31
Data Management For Multimedia Retrieval written by K. Selçuk Candan and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-05-31 with Computers categories.
Multimedia data require specialised management techniques because the representations of colour, time, semantic concepts, and other underlying information can be drastically different from one another. This textbook on multimedia data management techniques gives a unified perspective on retrieval efficiency and effectiveness. It provides a comprehensive treatment, from basic to advanced concepts, that will be useful to readers of different levels, from advanced undergraduate and graduate students to researchers and to professionals. After introducing models for multimedia data (images, video, audio, text, and web) and for their features, such as colour, texture, shape, and time, the book presents data structures and algorithms that help store, index, cluster, classify, and access common data representations. The authors also introduce techniques, such as relevance feedback and collaborative filtering, for bridging the 'semantic gap' and present the applications of these to emerging topics, including web and social networking.
Multimedia Information Extraction
DOWNLOAD
Author : Mark T. Maybury
language : en
Publisher: John Wiley & Sons
Release Date : 2012-07-11
Multimedia Information Extraction written by Mark T. Maybury and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-07-11 with Computers categories.
The advent of increasingly large consumer collections of audio (e.g., iTunes), imagery (e.g., Flickr), and video (e.g., YouTube) is driving a need not only for multimedia retrieval but also information extraction from and across media. Furthermore, industrial and government collections fuel requirements for stock media access, media preservation, broadcast news retrieval, identity management, and video surveillance. While significant advances have been made in language processing for information extraction from unstructured multilingual text and extraction of objects from imagery and video, these advances have been explored in largely independent research communities who have addressed extracting information from single media (e.g., text, imagery, audio). And yet users need to search for concepts across individual media, author multimedia artifacts, and perform multimedia analysis in many domains. This collection is intended to serve several purposes, including reporting the current state of the art, stimulating novel research, and encouraging cross-fertilization of distinct research disciplines. The collection and integration of a common base of intellectual material will provide an invaluable service from which to teach a future generation of cross disciplinary media scientists and engineers.
Adaptive Multimedia Retrieval User Context And Feedback
DOWNLOAD
Author : Stéphane Marchand-Maillet
language : en
Publisher: Springer
Release Date : 2007-06-20
Adaptive Multimedia Retrieval User Context And Feedback written by Stéphane Marchand-Maillet and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-06-20 with Computers categories.
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.
Information Retrieval For Music And Motion
DOWNLOAD
Author : Meinard Müller
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-09-09
Information Retrieval For Music And Motion written by Meinard Müller and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-09-09 with Computers categories.
A general scenario that has attracted a lot of attention for multimedia information retrieval is based on the query-by-example paradigm: retrieve all documents from a database containing parts or aspects similar to a given data fragment. However, multimedia objects, even though they are similar from a structural or semantic viewpoint, often reveal significant spatial or temporal differences. This makes content-based multimedia retrieval a challenging research field with many unsolved problems. Meinard Müller details concepts and algorithms for robust and efficient information retrieval by means of two different types of multimedia data: waveform-based music data and human motion data. In Part I, he discusses in depth several approaches in music information retrieval, in particular general strategies as well as efficient algorithms for music synchronization, audio matching, and audio structure analysis. He also shows how the analysis results can be used in an advancedaudio player to facilitate additional retrieval and browsing functionality. In Part II, he introduces a general and unified framework for motion analysis, retrieval, and classification, highlighting the design of suitable features, the notion of similarity used to compare data streams, and data organization. The detailed chapters at the beginning of each part give consideration to the interdisciplinary character of this field, covering information science, digital signal processing, audio engineering, musicology, and computer graphics. This first monograph specializing in music and motion retrieval appeals to a wide audience, from students at the graduate level and lecturers to scientists working in the above mentioned fields in academia or industry. Lecturers and students will benefit from the didactic style, and each unit is suitable for stand-alone use in specialized graduate courses. Researchers will be interested in the detailed description of original research results and their application in real-world browsing and retrieval scenarios.
Distributed Multimedia Retrieval Strategies For Large Scale Networked Systems
DOWNLOAD
Author : Bharadwaj Veeravalli
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-10-11
Distributed Multimedia Retrieval Strategies For Large Scale Networked Systems written by Bharadwaj Veeravalli and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-10-11 with Computers categories.
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.
Multimedia Information Retrieval And Management
DOWNLOAD
Author : W.C. Siu
language : en
Publisher: Springer Science & Business Media
Release Date : 2003-01-21
Multimedia Information Retrieval And Management written by W.C. Siu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-01-21 with Business & Economics categories.
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.
Big Data Analytics For Large Scale Multimedia Search
DOWNLOAD
Author : Stefanos Vrochidis
language : en
Publisher: John Wiley & Sons
Release Date : 2019-05-28
Big Data Analytics For Large Scale Multimedia Search written by Stefanos Vrochidis and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-28 with Technology & Engineering categories.
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.