Title:
Machine Learning for Video-Based Rendering
Machine Learning for Video-Based Rendering
| dc.contributor.author | Schodl, Arno | |
| dc.contributor.author | Essa, Irfan | |
| dc.date.accessioned | 2004-10-19T17:04:16Z | |
| dc.date.available | 2004-10-19T17:04:16Z | |
| dc.date.issued | 2000 | |
| dc.description.abstract | We recently introduced a new paradigm for computer animation, video textures, which allows us to use a recorded video to generate novel animations by replaying the video samples in a new order. Video sprites are a special type of video texture. Instead of storing whole images, the object of interest is separated from the background and the video samples are stored as a sequence of alpha-matted sprites with associated velocity information. They can be rendered anywhere on the screen to create a novel animation of the object. To create such an animation, we have to find a sequence of sprite samples that is both visually smooth and shows the desired motion. In this paper, we address both problems. To estimate visual smoothness, we train a linear classifier to estimate visual similarity between video samples. If the motion path is known in advance, we then use a beam search algorithm to find a good sample sequence. We can also specify the motion interactively by precomputing a set of cost functions using Q-learning. | en |
| dc.format.extent | 175044 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | http://hdl.handle.net/1853/3421 | |
| dc.language.iso | en_US | |
| dc.publisher | Georgia Institute of Technology | en |
| dc.relation.ispartofseries | GVU Technical Report;GIT-GVU-00-11 | |
| dc.title | Machine Learning for Video-Based Rendering | en |
| dc.type | Text | |
| dc.type.genre | Technical Report | |
| dspace.entity.type | Publication | |
| local.contributor.author | Essa, Irfan | |
| local.contributor.corporatename | GVU Center | |
| local.relation.ispartofseries | GVU Technical Report Series | |
| relation.isAuthorOfPublication | 84ae0044-6f5b-4733-8388-4f6427a0f817 | |
| relation.isOrgUnitOfPublication | d5666874-cf8d-45f6-8017-3781c955500f | |
| relation.isSeriesOfPublication | a13d1649-8f8b-4a59-9dec-d602fa26bc32 |