Mpeg-7 Audio and Beyond

Audio Content Indexing and Retrieval
1. Auflage 2005
ISBN: 978-0-470-09334-4
Verlag: Wiley

Buch, Englisch, 304 Seiten, Format (B × H): 161 mm x 236 mm, Gewicht: 573 g

Advances in technology, such as MP3 players, the Internet and DVDs, have led to the production, storage and distribution of a wealth of audio signals, including speech, music and more general sound signals and their combinations. MPEG-7 audio tools were created to enable the navigation of this data, by providing an established framework for effective multimedia management. MPEG-7 Audio and Beyond: Audio Content Indexing and Retrieval is a unique insight into the technology, covering the following topics:

* the fundamentals of MPEG-7 audio, principally low-level descriptors and sound classification and similarity;

* spoken content description, and timbre, melody and tempo music description tools;

* existing MPEG-7 applications and those currently being developed;

* examples of audio technology beyond the scope of MPEG-7.

Essential reading for practising electronic and communications engineers designing and implementing MPEG-7 compliant systems, this book will also be a useful reference for researchers and graduate students working with multimedia database technology.

Autoren/Hrsg.

Kim, Hyoung-Gook

Moreau, Nicolas

Sikora, Thomas

Fachgebiete

• Geisteswissenschaften Design Grafikdesign, Kommunikationsdesign
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung

Inhaltsverzeichnis

List of Acronyms.

List of Symbols.

1. Introduction.

1.1 Audio Content Description.

1.2 MPEG-7 Audio Content Description - An Overview.

1.3 Organization of the Book.

2. Low-Level Descriptors.

2.1 Introduction.

2.2 Basic Parameters and Notations.

2.3 Scalable Series.

2.4 Basic Descriptors.

2.5 Basic Spectral Descriptors.

2.6 Basic Signal Parameters.

2.7 Timbral Descriptors.

2.8 Spectral Basis Representations.

2.9 Silence Segment.

2.10 Beyond the Scope of MPEG-7.

References.

3. Sound Classification and Similarity.

3.1 Introduction.

3.2 Dimensionality Reduction.

3.3 Classification Methods.

3.4 MPEG-7 Sound Classification.

3.5 Comparison of MPEG-7 Audio Spectrum Projection vs. MFCC Features.

3.6 Indexing and Similarity.

3.7 Simulation Results and Discussion.

3.8 Conclusions.

References.

4. Spoken Content.

4.1 Introduction.

4.2 Automatic Speech Recognition.

4.3 MPEG-7 SpokenContent Description.

4.4 Application: Spoken Document Retrieval.

4.5 Conclusions.

References.

5. Music Description Tools.

5.1 Timbre.

5.2 Melody.

5.3 Tempo.

5.4 Application Example: Query-by-Humming.

References.

6. Fingerprinting and Audio Signal Quality.

6.1 Introduction.

6.2 Audio Signature.

6.3 Audio Signal Quality.

References.

7. Application.

7.1 Introduction.

7.2 Automatic Audio Segmentation.

7.3 Sound Indexing and Browsing of Home Video Using Spoken Annotations.

7.4 Highlights Extraction for Sport Programmes Using Audio Event Detection.

7.5 A Spoken Document Retrieval System for Digital Photo Albums.

References.

Index.

Über Autor(innen)

Hyoung-Gook Kim, Researcher of the MPEG-7 Audio Project at the Communication Systems Group, Technical University of Berlin, Communication Systems Group, Sekr. EN 1, Einsteinufer 17, D-10587 Berlin

Nicolas Moreau, Researcher of the MPEG-7 Audio Project at the Communication Systems Group, Technical University of Berlin, Communication Systems Group, Sekr. EN 1, Einsteinufer 17, D-10587 Berlin

Thomas Sikora, Professor and head of the Communication Systems Group, Technical University of Berlin, Communication Systems Group, Sekr. EN 1, Einsteinufer 17, D-10587 Berlin