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cropping

collection-aware cropping

In Proceedings of UIST 2010
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Cosaliency: where people look when comparing images (p. 219-228)

Abstract plus

Image triage is a common task in digital photography. Determining which photos are worth processing for sharing with friends and family and which should be deleted to make room for new ones can be a challenge, especially on a device with a small screen like a mobile phone or camera. In this work we explore the importance of local structure changes?e.g. human pose, appearance changes, object orientation, etc.?to the photographic triage task. We perform a user study in which subjects are asked to mark regions of image pairs most useful in making triage decisions. From this data, we train a model for image saliency in the context of other images that we call cosaliency. This allows us to create collection-aware crops that can augment the information provided by existing thumbnailing techniques for the image triage task.

image cropping

In Proceedings of UIST 2003
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Automatic thumbnail cropping and its effectiveness (p. 95-104)