Multimodal detection of highlights for multimedia content
| Autor: | Serhan Dagtas, Mohamed Abdel-Mottaleb |
|---|---|
| Rok vydání: | 2004 |
| Předmět: |
Information retrieval
Syntax (programming languages) Multimedia Computer Networks and Communications business.industry Computer science Search engine indexing ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Cryptography Context (language use) computer.software_genre Automatic summarization Computer graphics Hardware and Architecture Content (measure theory) Media Technology Multimedia information business computer Software Information Systems |
| Zdroj: | Multimedia Systems. 9:586-593 |
| ISSN: | 1432-1882 0942-4962 |
| DOI: | 10.1007/s00530-003-0130-3 |
| Popis: | We present a multimedia information analysis framework for content-based browsing of video. Specifically, we develop algorithms for the automated extraction of video highlights in sports video that are based on audio, text, and image features. The extracted annotations are used to build applications for selective browsing of sports videos. Such summarization techniques enable content-based indexing of multimedia documents for efficient storage and retrieval. In addition, in the context of the newly emerging standard MPEG-7, these methods will enable applications that use MPEG-7 descriptions. As this standard provides only the syntax for representing such descriptions and not specific algorithms for extracting them, these algorithms are of great value for establishing MPEG-7 as an accepted standard. We provide experimental results for the proposed algorithms on several hours of sports programs that prove the feasibility of efficient video access techniques in a multimedia environment. |
| Databáze: | OpenAIRE |
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