Abstract
This paper proposes a thorough scheme, by virtue of camera zooming descriptor with two-level threshold, to automatically retrieve close-ups directly from moving picture experts group (MPEG) compressed videos based on camera motion analysis. A new algorithm for fast camera motion estimation in compressed domain is presented. In the retrieval process, camera-motion-based semantic retrieval is built. To improve the coverage of the proposed scheme, close-up retrieval in all kinds of videos is investigated. Extensive experiments illustrate that the proposed scheme provides promising retrieval results under real-time and automatic application scenario.
Original language | English |
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Pages (from-to) | 198-201 |
Number of pages | 4 |
Journal | International Journal of Automation and Computing |
Volume | 5 |
Issue number | 2 |
DOIs | |
Publication status | Published - Apr 2008 |
Externally published | Yes |
Keywords
- Camera motion analysis
- Close-up retrieval
- Moving picture experts group (MPEG) compressed videos
ASJC Scopus subject areas
- Control and Systems Engineering
- Modelling and Simulation
- Computer Science Applications
- Applied Mathematics