Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing:
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 manageme...
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| Main Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Boston, MA
Springer US
2001
|
| Series: | The Springer International Series in Engineering and Computer Science
606 |
| Subjects: | |
| Online Access: | FHI01 BTU01 Volltext |
| 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 hybrid types of sounds that contain more than one kind of audio component such as speech or environmental sound with music in the background. Emphasis is also placed on semantic-level identification and classification of environmental sounds. The authors introduce a new generic audio retrieval system on top of the audio archiving schemes. Both theoretical analysis and implementation issues are presented. The developing MPEG-7 standards are explored. Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing will be especially useful to researchers and graduate level students designing and developing fully functional audiovisual systems for audio/video content parsing of multimedia streams |
| Physical Description: | 1 Online-Ressource (XX, 136 p) |
| ISBN: | 9781475733396 |
| DOI: | 10.1007/978-1-4757-3339-6 |
Staff View
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| id | DE-604.BV045149008 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:02Z |
| institution | BVB |
| isbn | 9781475733396 |
| language | English |
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| physical | 1 Online-Ressource (XX, 136 p) |
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| publishDate | 2001 |
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| publisher | Springer US |
| record_format | marc |
| series2 | The Springer International Series in Engineering and Computer Science |
| spelling | Zhang, Tong Verfasser aut Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing by Tong Zhang, C.-C. Jay Kuo Boston, MA Springer US 2001 1 Online-Ressource (XX, 136 p) txt rdacontent c rdamedia cr rdacarrier The Springer International Series in Engineering and Computer Science 606 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 hybrid types of sounds that contain more than one kind of audio component such as speech or environmental sound with music in the background. Emphasis is also placed on semantic-level identification and classification of environmental sounds. The authors introduce a new generic audio retrieval system on top of the audio archiving schemes. Both theoretical analysis and implementation issues are presented. The developing MPEG-7 standards are explored. Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing will be especially useful to researchers and graduate level students designing and developing fully functional audiovisual systems for audio/video content parsing of multimedia streams Computer Science Multimedia Information Systems Information Storage and Retrieval Signal, Image and Speech Processing Data Structures, Cryptology and Information Theory Computer science Data structures (Computer science) Information storage and retrieval Multimedia information systems Kuo, C.-C. Jay aut Erscheint auch als Druck-Ausgabe 9781441948786 https://doi.org/10.1007/978-1-4757-3339-6 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Zhang, Tong Kuo, C.-C. Jay Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing Computer Science Multimedia Information Systems Information Storage and Retrieval Signal, Image and Speech Processing Data Structures, Cryptology and Information Theory Computer science Data structures (Computer science) Information storage and retrieval Multimedia information systems |
| title | Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing |
| title_auth | Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing |
| title_exact_search | Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing |
| title_full | Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing by Tong Zhang, C.-C. Jay Kuo |
| title_fullStr | Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing by Tong Zhang, C.-C. Jay Kuo |
| title_full_unstemmed | Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing by Tong Zhang, C.-C. Jay Kuo |
| title_short | Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing |
| title_sort | content based audio classification and retrieval for audiovisual data parsing |
| topic | Computer Science Multimedia Information Systems Information Storage and Retrieval Signal, Image and Speech Processing Data Structures, Cryptology and Information Theory Computer science Data structures (Computer science) Information storage and retrieval Multimedia information systems |
| topic_facet | Computer Science Multimedia Information Systems Information Storage and Retrieval Signal, Image and Speech Processing Data Structures, Cryptology and Information Theory Computer science Data structures (Computer science) Information storage and retrieval Multimedia information systems |
| url | https://doi.org/10.1007/978-1-4757-3339-6 |
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