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Scene collaging: analysis and synthesis of natural images with semantic layers.
| Content Provider | CiteSeerX |
|---|---|
| Author | Isola, Phillip |
| Abstract | To quickly synthesize complex scenes, digital artists of-ten collage together visual elements from multiple sources: for example, mountains from New Zealand behind a Scottish castle with wisps of Saharan sand in front. In this paper, we propose to use a similar process in order to parse a scene. We model a scene as a collage of warped, layered objects sampled from labeled, reference images. Each object is re-lated to the rest by a set of support constraints. Scene pars-ing is achieved through analysis-by-synthesis. Starting with a dataset of labeled exemplar scenes, we retrieve a dictio-nary of candidate object segments that match a query im-age. We then combine elements of this set into a “scene col-lage ” that explains the query image. Beyond just assigning object labels to pixels, scene collaging produces a lot more information such as the number of each type of object in the scene, how they support one another, the ordinal depth of each object, and, to some degree, occluded content. We exploit this representation for several applications: image editing, random scene synthesis, and image-to-anaglyph. 1. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Scene Collaging Natural Image Semantic Layer Scottish Castle Object Label Digital Artist Of-ten Collage Complex Scene New Zealand Multiple Source Several Application Saharan Sand Query Image Visual Element Query Im-age Scene Pars-ing Image Editing Random Scene Synthesis Similar Process Candidate Object Segment Labeled Exemplar Scene Support Constraint Ordinal Depth Scene Col-lage Reference Image Layered Object |
| Content Type | Text |
