MEINARD MULLER (19 Ergebnisse)

Zustand: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Zustand: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

gebundene Ausgabe. Zustand: Gut. 12 Seiten Das hier angebotene Buch stammt aus einer teilaufgelösten Bibliothek und kann die entsprechenden Kennzeichnungen aufweisen (Rückenschild, Instituts-Stempel.); der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 600.

Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,650grams, ISBN:9783540740476.

Zustand: New. In.

Zustand: New. pp. 332 Illus.

Zustand: New. In.

Paperback. Zustand: Good. THERE ARE NO TARIFFS OR CUSTOMS DUTIES ON BOOKS. Fairly good condition for year.

Zustand: New. In.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Paperback. Zustand: Brand New. 487 pages. 9.00x6.00x1.25 inches. In Stock.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Taschenbuch. Zustand: Neu. Information Retrieval for Music and Motion | Meinard Müller | Taschenbuch | xvi | Englisch | 2010 | Springer | EAN 9783642093371 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Zustand: New. In.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The textbook provides both profound technological knowledge and a comprehensive treatment of essential topics in music processing and music information retrieval (MIR). Including numerous examples, figures, and exercises, this book is suited for students, lecturers, and researchers working in audio engineering, signal processing, computer science, digital humanities, and musicology.The book consists of eight chapters. The first two cover foundations of music representations and the Fourier transform concepts used throughout the book. Each of the subsequent chapters starts with a general description of a concrete music processing task and then discusses in a mathematically rigorous way essential techniques and algorithms applicable to a wide range of analysis, classification, and retrieval problems. By mixing theory and practice, the book s goal is to offer detailed technological insights and a deep understanding of music processing applications.As a substantial extension, the textbook s second edition introduces the FMP (fundamentals of music processing) not Elektronisches Buch, which provide additional audio-visual material and Python code examples that implement all computational approaches step by step. Using Jupyter not Elektronisches Buch and open-source web applications, the FMP not Elektronisches Buch yield an interactive framework that allows students to experiment with their music examples, explore the effect of parameter settings, and understand the computed results by suitable visualizations and sonifications. The FMP not Elektronisches Buch are available from the author s institutional web page at the International Audio Laboratories Erlangen.

Taschenbuch. Zustand: Neu. Fundamentals of Music Processing | Using Python and Jupyter Notebooks | Meinard Müller | Taschenbuch | xxxi | Englisch | 2022 | Springer | EAN 9783030698102 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook provides both profound technological knowledge and a comprehensive treatment of essential topics in music processing and music information retrieval. Including numerous examples, figures, and exercises, this book is suited for students, lecturers, and researchers working in audio engineering, computer science, multimedia, and musicology.The book consists of eight chapters. The first two cover foundations of music representations and the Fourier transform-concepts that are then used throughout the book. In the subsequent chapters, concrete music processing tasks serve as a starting point. Each of these chapters is organized in a similar fashion and starts with a general description of the music processing scenario at hand before integrating it into a wider context. It then discusses-in a mathematically rigorous way-important techniques and algorithms that are generally applicable to a wide range of analysis, classification, and retrieval problems. At the same time, the techniques are directly applied to a specific music processing task. By mixing theory and practice, the book's goal is to offer detailed technological insights as well as a deep understanding of music processing applications. Each chapter ends with a section that includes links to the research literature, suggestions for further reading, a list of references, and exercises. The chapters are organized in a modular fashion, thus offering lecturers and readers many ways to choose, rearrange or supplement the material. Accordingly, selected chapters or individual sections can easily be integrated into courses on general multimedia, information science, signal processing, music informatics, or the digital humanities.

Taschenbuch. Zustand: Neu. Fundamentals of Music Processing | Audio, Analysis, Algorithms, Applications | Meinard Müller | Taschenbuch | xxix | Englisch | 2016 | Springer | EAN 9783319357652 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The textbook provides both profound technological knowledge and a comprehensive treatment of essential topics in music processing and music information retrieval (MIR). Including numerous examples, figures, and exercises, this book is suited for students, lecturers, and researchers working in audio engineering, signal processing, computer science, digital humanities, and musicology.The book consists of eight chapters. The first two cover foundations of music representations and the Fourier transform concepts used throughout the book. Each of the subsequent chapters starts with a general description of a concrete music processing task and then discusses in a mathematically rigorous way essential techniques and algorithms applicable to a wide range of analysis, classification, and retrieval problems. By mixing theory and practice, the book s goal is to offer detailed technological insights and a deep understanding of music processing applications.As a substantial extension, the textbook s second edition introduces the FMP (fundamentals of music processing) not Elektronisches Buch, which provide additional audio-visual material and Python code examples that implement all computational approaches step by step. Using Jupyter not Elektronisches Buch and open-source web applications, the FMP not Elektronisches Buch yield an interactive framework that allows students to experiment with their music examples, explore the effect of parameter settings, and understand the computed results by suitable visualizations and sonifications. The FMP not Elektronisches Buch are available from the author s institutional web page at the International Audio Laboratories Erlangen.