![]() Rather than attempt an expensive, integrated optimization procedure, we have developed a sequence of optimization steps, from static ranking of images, through region of interest optimization, optimal packing by constraint satisfaction, and lastly graph-cut alpha-expansion. Secondly the resulting optimization poses a search problem that, on the face of it, is computationally infeasible. Firstly, we show how energy terms can be included that: encourage the selection of a representative set of images that are sensitive to particular object classes that encourage a spatially efficient and seamless layout. This paper makes several new contributions. It is also assembled largely seamlessly, using graph-cut, Poisson blending of alpha-masks, to hide the joins between input images. The aim is that the resulting collage should be representative of the collection, summarising its main themes. The paper defines an automatic procedure for constructing a visually appealing collage from a collection of input images.
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