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Content-based audio classification and retrieval for audiovisual data parsing

Author: Tong Zhang; C -C Jay Kuo
Publisher: Boston : Kluwer Academic, ©2001.
Series: Kluwer international series in engineering and computer science, SECS 606.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
"Content-based Audio Classification and Retrieval for Audiovisual Data Parsing is an up-to-date overview of audio and video content analysis. Included is extensive treatment of audiovisual data segmentation, indexing and retrieval based on multimodal media content analysis, and content-based management of audio data. In addition to the commonly studied audio types such as speech and music, the authors have included
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Details

Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Tong Zhang; C -C Jay Kuo
ISBN: 0792372875 9780792372875
OCLC Number: 45422103
Description: xvii, 136 pages : illustrations ; 24 cm.
Contents: Significance of Proposed Research --
Video Segmentation and Annotation --
Audio and Visual Content Analysis --
MPEG-7 Standard Development --
Review of Previous Work --
Work on Video Indexing and Retrieval --
Work on Audio Content Analysis --
Work on Visual Content Analysis --
Summary of the Proposed System --
Framework for Video Segmentation and Indexing --
Content Analysis of the Audio Stream --
Content Analysis of Image Sequences --
Contribution of the Research --
Outline of the Monograph --
Video Content Modeling --
Video Content Modeling --
Common Model for Video Content --
Models for Different Video Types --
News Bulletin --
Variety Show Video --
Sports Video --
Documentaries --
Feature Movies and TV Series --
Proposed Scheme for Video Content Parsing --
Design of Index Table for Non-linear Access --
The Primary Index Table --
The Secondary Index Tree --
Audio Content Analysis --
Audio Feature Analysis --
Audio Features for Coarse-Level Segmentation and Indexing of Generic Data --
Short-Time Energy Function --
Short-Time Average Zero Crossing Rate --
Short-Time Fundamental Frequency --
Spectral Peak Track --
Audio Features for Fine-Level Classification and Retrieval of Sound Effects --
Timbre Features --
Rhythm Features --
Generic Audio Data Segmentation and Indexing --
Detection of Segment Boundaries --
Classification of Each Segment --
Detecting Silence --
Separating Sounds into with and without Music Components --
Detecting Harmonic Environmental Sounds --
Distinguishing Pure Music --
Distinguishing Songs.
Series Title: Kluwer international series in engineering and computer science, SECS 606.
Responsibility: Tong Zhang and C.-C. Jay Kuo.
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Abstract:

Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing is an up-to-date overview of audio and video content analysis.  Read more...

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