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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lien, Jyh-Ming Bajcsy, Ruzena |
| Copyright Year | 2007 |
| Description | Author affiliation: University of California, Berkeley, CA, USA, 94720, bajcsy@eecs.berkeley.edu (Bajcsy, Ruzena) || George Mason University, Fairfax, VA, 20120, jmlien@gmu.edu (Lien, Jyh-Ming) |
| Abstract | Due to technology advances, reconstructing three-dimensional representations of physical environments in real time using cheap and non-professional cameras and PCs becomes possible. These advances will make 3-D tele-immersive environments available for everyone in the near future. However, the amount of data captured, by a Tele-Immersion (TI) system can be very large. Compression is needed to ensure real-time transmission of the data. Due to this real-time requirement, compressing TI data can be a challenging task and no current techniques can effectively address this issue. In this paper, we propose a skeleton-based compression. The main idea of this approach is to take advantage of prior knowledge of objects, e.g., human figures, in the physical environments and to represent their motions using just a few parameters. The proposed compression method provides tunable and high compression ratios (from 50:1 to 5000:1) with reasonable reconstruction quality, Moreover, the proposed method can estimate motions from the noisy data captured by our TI system in real time. |
| Starting Page | 347 |
| Ending Page | 354 |
| File Size | 7684238 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424413539 |
| DOI | 10.1109/ICDSC.2007.4357543 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-09-25 |
| Publisher Place | Austria |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Real time systems Space technology Motion estimation Working environment noise Humans Bandwidth Cameras Personal communication networks Image reconstruction Signal to noise ratio |
| Content Type | Text |
| Resource Type | Article |
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