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Structuralized Context-aware Content and Scalable Resolution Support for Wireless VoD Services.
- Source :
-
IEEE Transactions on Consumer Electronics . May2009, Vol. 55 Issue 2, p713-720. 8p. 3 Black and White Photographs, 4 Charts, 2 Graphs. - Publication Year :
- 2009
-
Abstract
- Video-on-demand (VoD) services allow users to receive real-time multimedia contents from afar distance. Yet, current architectures still require a context-aware indexing system to help users learn about story details. In this paper, we present a semantic processing system that offers structuralized video contents based on four basic entities: who, what, where, and when. Thus, users can select clips of interest among a video according to the guided clues. At the same time, we also present an SVC-compatible coding that improves spatial scalability in order to transmit the structuralized results for mobile devices efficiently. Users can, therefore, get a higher PSNR in low bit-rate applications. The experimental results have demonstrated the feasibility and effectiveness of our proposed system. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00983063
- Volume :
- 55
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Consumer Electronics
- Publication Type :
- Academic Journal
- Accession number :
- 43924090
- Full Text :
- https://doi.org/10.1109/TCE.2009.5174444