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We pose the problem of object insertion as a data-driven, 3D-based, context-sensitive object retrieval task. Instead of trying to manipulate the object to change its orientation, color distribution, etc. to fit the new image, we simply retrieve an object of a specified class that has all the required properties (camera pose, lighting, resolution, etc) from our large object library. We present new automatic algorithms for improving object segmentation and blending, estimating true 3D object size and orientation, and estimating scene lighting conditions. We also present an intuitive user interface that makes object insertion fast and simple even for the artistically challenged.<\/jats:p>","DOI":"10.1145\/1276377.1276381","type":"journal-article","created":{"date-parts":[[2007,9,14]],"date-time":"2007-09-14T13:44:55Z","timestamp":1189777495000},"page":"3","update-policy":"http:\/\/dx.doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":136,"title":["Photo clip art"],"prefix":"10.1145","volume":"26","author":[{"given":"Jean-Fran\u00e7ois","family":"Lalonde","sequence":"first","affiliation":[{"name":"Carnegie Mellon University"}]},{"given":"Derek","family":"Hoiem","sequence":"additional","affiliation":[{"name":"Carnegie Mellon University"}]},{"given":"Alexei A.","family":"Efros","sequence":"additional","affiliation":[{"name":"Carnegie Mellon University"}]},{"given":"Carsten","family":"Rother","sequence":"additional","affiliation":[{"name":"Microsoft Research Cambridge"}]},{"given":"John","family":"Winn","sequence":"additional","affiliation":[{"name":"Microsoft Research Cambridge"}]},{"given":"Antonio","family":"Criminisi","sequence":"additional","affiliation":[{"name":"Microsoft Research Cambridge"}]}],"member":"320","published-online":{"date-parts":[[2007,7,29]]},"reference":[{"key":"e_1_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1015706.1015718"},{"key":"e_1_2_2_2_1","unstructured":"Berg T. 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