Adaptive Multimedia Retrieval:User, Context, and Feedback
Title | Adaptive Multimedia Retrieval:User, Context, and Feedback PDF eBook |
Author | Stéphane Marchand-Maillet |
Publisher | Springer |
Pages | 279 |
Release | 2007-06-20 |
Genre | Computers |
ISBN | 3540715452 |
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
Title | Adaptive Multimedia Retrieval: User, Context, and Feedback PDF eBook |
Author | Marcin Detyniecki |
Publisher | Springer Science & Business Media |
Pages | 290 |
Release | 2006-02-13 |
Genre | Computers |
ISBN | 3540321748 |
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. Context, Exploration and Fusion
Title | Adaptive Multimedia Retrieval. Context, Exploration and Fusion PDF eBook |
Author | Marcin Detyniecki |
Publisher | Springer Science & Business Media |
Pages | 230 |
Release | 2012-01-09 |
Genre | Computers |
ISBN | 3642271685 |
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
Title | Adaptive Multimedia Retrieval: Retrieval, User, and Semantics PDF eBook |
Author | Nozha Boujemaa |
Publisher | Springer Science & Business Media |
Pages | 276 |
Release | 2008-07 |
Genre | Computers |
ISBN | 3540798595 |
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.
Multimedia Information Retrieval
Title | Multimedia Information Retrieval PDF eBook |
Author | Roberto Raieli |
Publisher | Elsevier |
Pages | 377 |
Release | 2013-07-31 |
Genre | Business & Economics |
ISBN | 1780633882 |
Novel processing and searching tools for the management of new multimedia documents have developed. Multimedia Information Retrieval (MIR) is an organic system made up of Text Retrieval (TR); Visual Retrieval (VR); Video Retrieval (VDR); and Audio Retrieval (AR) systems. So that each type of digital document may be analysed and searched by the elements of language appropriate to its nature, search criteria must be extended. Such an approach is known as the Content Based Information Retrieval (CBIR), and is the core of MIR. This novel content-based concept of information handling needs to be integrated with more traditional semantics. Multimedia Information Retrieval focuses on the tools of processing and searching applicable to the content-based management of new multimedia documents. Translated from Italian by Giles Smith, the book is divided into two parts. Part one discusses MIR and related theories, and puts forward new methodologies; part two reviews various experimental and operating MIR systems, and presents technical and practical conclusions. - Gives a complete, organic picture of MIR and CBIR - Proposes a novel conceptualisation around the ideas of Information Retrieval (IR) and digital document management in the context of Library and Information Science (LIS) - Relevant for both library and information science and information technology specialists
Adaptive Multimedia Retrieval
Title | Adaptive Multimedia Retrieval PDF eBook |
Author | Andreas Nürnberger |
Publisher | Springer Science & Business Media |
Pages | 237 |
Release | 2004-06-16 |
Genre | Computers |
ISBN | 3540221638 |
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.
Knowledge-Based Intelligent Information and Engineering Systems
Title | Knowledge-Based Intelligent Information and Engineering Systems PDF eBook |
Author | Bogdan Gabrys |
Publisher | Springer Science & Business Media |
Pages | 1360 |
Release | 2006-09-27 |
Genre | Business & Economics |
ISBN | 3540465359 |
The three volume set LNAI 4251, LNAI 4252, and LNAI 4253 constitutes the refereed proceedings of the 10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2006, held in Bournemouth, UK in October 2006. The 480 revised papers presented were carefully reviewed and selected from about 1400 submissions. The papers present a wealth of original research results from the field of intelligent information processing.