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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shing-Chow Chan Zhi-Feng Gan King-To Ng Ka-Leung Ho Heung-Yeung Shum |
| Copyright Year | 1991 |
| Abstract | This paper proposes an object-based approach to a class of dynamic image-based representations called ldquoplenoptic videos,rdquo where the plenoptic video sequences are segmented into image-based rendering (IBR) objects each with its image sequence, depth map, and other relevant information such as shape and alpha information. This allows desirable functionalities such as scalability of contents, error resilience, and interactivity with individual IBR objects to be supported. Moreover, the rendering quality in scenes with large depth variations can also be improved considerably. A portable capturing system consisting of two linear camera arrays was developed to verify the proposed approach. An important step in the object-based approach is to segment the objects in video streams into layers or IBR objects. To reduce the time for segmenting plenoptic videos under the semiautomatic technique, a new object tracking method based on the level-set method is proposed. Due to possible segmentation errors around object boundaries, natural matting with Bayesian approach is also incorporated into our system. Furthermore, extensions of conventional image processing algorithms to these IBR objects are studied and illustrated with examples. Experimental results are given to illustrate the efficiency of the tracking, matting, rendering, and processing algorithms under the proposed object-based framework. |
| Sponsorship | IEEE Circuits and Systems Society |
| Starting Page | 821 |
| Ending Page | 831 |
| Page Count | 11 |
| File Size | 2102216 |
| File Format | |
| ISSN | 10518215 |
| Volume Number | 19 |
| Issue Number | 6 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-06-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | TV Image segmentation Rendering (computer graphics) Video sequences Image sequences Shape Scalability Resilience Layout Cameras plenoptic videos Dynamic image-based representations image-based rendering (IBR) object-based |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Media Technology |
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