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MPEG-7 based description schemes for multi-level video content classification
- Source :
- Image and Vision Computing, Image and Vision Computing, Elsevier, 2004, 5, 22, pp.367-378. ⟨10.1016/S0262-8856(03)00098-2⟩
- Publication Year :
- 2004
- Publisher :
- Elsevier BV, 2004.
-
Abstract
- International audience; MPEG-7 has emerged as the standard for multimedia data content description for efficiently describing multimedia content. In this context, its primary goal is to provide flexible and effective searching and retrieval of multimedia resources. Most of the earlier work on MPEG-7 description schemes (DSs) and descriptors (Ds) focuses on the description of a single multimedia document, whereas MPEG-7 can be further exploited to support more advances implementations under multimedia database systems. Therefore, it is important to reconsider issues related to high level multimedia modeling and representation, in the light of the MPEG-7 perspective. In this paper, we propose a high level multimedia representation and description scheme based on multi-level video modeling and semantic video classification. The proposed multi-level multimedia representation and DSs are expected to support more effective video content indexing and accessing operations. The presented DSs and Ds are further described by using the XML Schema language, which has been adopted as the basis of the Description Definition Language (DDL) of the MPEG-7 standard.
- Subjects :
- Information retrieval
Multimedia
Computer science
Multimedia database
Search engine indexing
020206 networking & telecommunications
Context (language use)
02 engineering and technology
Video modeling
computer.software_genre
Description Definition Language
Signal Processing
0202 electrical engineering, electronic engineering, information engineering
[INFO]Computer Science [cs]
020201 artificial intelligence & image processing
Computer Vision and Pattern Recognition
XML schema
Representation (mathematics)
computer
Implementation
computer.programming_language
Subjects
Details
- ISSN :
- 02628856
- Volume :
- 22
- Database :
- OpenAIRE
- Journal :
- Image and Vision Computing
- Accession number :
- edsair.doi.dedup.....61619c3ce56271b6d256f79063737e92
- Full Text :
- https://doi.org/10.1016/s0262-8856(03)00098-2