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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xuguang Yang Ramchandran, K. |
| Copyright Year | 1996 |
| Description | Author affiliation: Beckman Inst. for Adv. Sci. & Technol., Illinois Univ., Urbana, IL, USA (Xuguang Yang; Ramchandran, K.) |
| Abstract | We introduce a novel region-based video compression framework that uses a morphological operation to efficiently capture motion correspondences between consecutive frames in an image sequence. Our coder is built on the observation that the motion field associated with typical image sequences can be segmented into component motion subfield "clusters" associated with distinct objects or regions in the scene, and further that these clusters can be efficiently captured using morphological operators in a "backward" framework that avoids needing to explicitly send object boundaries. Cluster matching is used in lieu of the conventional block matching methods of standard video codecs to define a cluster motion representation paradigm. Experimental coding results show about 10-20% reduction in prediction error energy and 0.3-1 db (average of about 0.44 dB) reduction in the final residue-coded peak signal to noise ratio (PSNR) using our proposed motion compensation framework on the football sequence over standard block motion compensation methods like MPEG, while also requiring less computational complexity. |
| Starting Page | 112 |
| Ending Page | 121 |
| File Size | 572030 |
| Page Count | 10 |
| File Format | |
| ISBN | 0818673583 |
| ISSN | 10680314 |
| DOI | 10.1109/DCC.1996.488316 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1996-03-31 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image sequences PSNR Motion compensation Video compression Morphological operations Image segmentation Layout Code standards Video codecs Computational complexity |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Networks and Communications |
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