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 |
|---|---|
| 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