Author: Marcin Detyniecki
Publisher: Springer
ISBN: 3642271693
Category : Computers
Languages : en
Pages : 230
Get Book Here
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.
Author: Marcin Detyniecki
Publisher: Springer Science & Business Media
ISBN: 3642271685
Category : Computers
Languages : en
Pages : 230
Get Book Here
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.
Author: Stéphane Marchand-Maillet
Publisher: Springer
ISBN: 3540715452
Category : Computers
Languages : en
Pages : 279
Get Book Here
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.
Author: Nozha Boujemaa
Publisher: Springer
ISBN: 3540798609
Category : Computers
Languages : en
Pages : 276
Get Book Here
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.
Author: Andreas Nürnberger
Publisher: Springer Science & Business Media
ISBN: 3540221638
Category : Computers
Languages : en
Pages : 237
Get Book Here
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.
Author: Stéphane Marchand-Maillet
Publisher: Springer
ISBN: 9783540715443
Category : Computers
Languages : en
Pages : 276
Get Book Here
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.
Author: Marcin Detyniecki
Publisher: Springer
ISBN: 9783540820390
Category : Computers
Languages : en
Pages : 284
Get Book Here
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.
Author: Michael N. Rychagov
Publisher: Springer Nature
ISBN: 3030667413
Category : Technology & Engineering
Languages : en
Pages : 433
Get Book Here
Book Description
This book presents prospective, industrially proven methods and software solutions for storing, processing, and viewing multimedia content on digital cameras, camcorders, TV, and mobile devices. Most of the algorithms described here are implemented as systems on chip firmware or as software products and have low computational complexity and memory consumption. In the four parts of the book, which contains a total of 16 chapters, the authors address solutions for the conversion of images and videos by super-resolution, depth estimation and control and mono-to-stereo (2D to 3D) conversion; display applications by video editing; the real-time detection of sport episodes; and the generation and reproduction of natural effects. The practical principles of machine learning are illustrated using technologies such as image classification as a service, mobile user profiling, and automatic view planning with dictionary-based compressed sensing in magnetic resonance imaging. The implementation of these technologies in mobile devices is discussed in relation to algorithms using a depth camera based on a colour-coded aperture, the animated graphical abstract of an image, a motion photo, and approaches and methods for iris recognition on mobile platforms. The book reflects the authors’ practical experience in the development of algorithms for industrial R&D and the commercialization of technologies. Explains digital techniques for digital cameras, camcorders, TV, mobile devices; Offers essential algorithms for the processing pipeline in multimedia devices and accompanying software tools; Features advanced topics on data processing, addressing current technology challenges.
Author: Elodie A. Roy
Publisher: Routledge
ISBN: 1317098730
Category : Music
Languages : en
Pages : 262
Get Book Here
Book Description
Media, Materiality and Memory: Grounding the Groove examines the entwinement of material music objects, technology and memory in relation to a range of independent record labels, including Sarah Records, Ghost Box and Finders Keepers. Moving from Edison’s phonograph to digital music files, from record collections to online archives, Roy argues that materiality plays a crucial role in constructing and understanding the territory of recorded sound. How do musical objects ‘write’ cultural narratives? How can we unearth and reactivate past histories by looking at yesterday’s media formats? What is the nature, and fate, of the physical archive in an increasingly dematerialized world? In what ways do physical and digital musical objects coexist and intersect? With its innovative theoretical approach, the book explores the implications of materialization in the fashioning of a musical world and its cultural transmission. A substantial contribution to the field of music and material culture studies, Media, Materiality and Memory also provides a nuanced and timely reflection on nostalgia and forgetting in the digital age.
Author: Alexander Lerch
Publisher: John Wiley & Sons
ISBN: 1119890977
Category : Technology & Engineering
Languages : en
Pages : 467
Get Book Here
Book Description
An Introduction to Audio Content Analysis Enables readers to understand the algorithmic analysis of musical audio signals with AI-driven approaches An Introduction to Audio Content Analysis serves as a comprehensive guide on audio content analysis explaining how signal processing and machine learning approaches can be utilized for the extraction of musical content from audio. It gives readers the algorithmic understanding to teach a computer to interpret music signals and thus allows for the design of tools for interacting with music. The work ties together topics from audio signal processing and machine learning, showing how to use audio content analysis to pick up musical characteristics automatically. A multitude of audio content analysis tasks related to the extraction of tonal, temporal, timbral, and intensity-related characteristics of the music signal are presented. Each task is introduced from both a musical and a technical perspective, detailing the algorithmic approach as well as providing practical guidance on implementation details and evaluation. To aid in reader comprehension, each task description begins with a short introduction to the most important musical and perceptual characteristics of the covered topic, followed by a detailed algorithmic model and its evaluation, and concluded with questions and exercises. For the interested reader, updated supplemental materials are provided via an accompanying website. Written by a well-known expert in the music industry, sample topics covered in Introduction to Audio Content Analysis include: Digital audio signals and their representation, common time-frequency transforms, audio features Pitch and fundamental frequency detection, key and chord Representation of dynamics in music and intensity-related features Beat histograms, onset and tempo detection, beat histograms, and detection of structure in music, and sequence alignment Audio fingerprinting, musical genre, mood, and instrument classification An invaluable guide for newcomers to audio signal processing and industry experts alike, An Introduction to Audio Content Analysis covers a wide range of introductory topics pertaining to music information retrieval and machine listening, allowing students and researchers to quickly gain core holistic knowledge in audio analysis and dig deeper into specific aspects of the field with the help of a large amount of references.
