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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Automatic Generation of Subject-Based Image Transitions
verfasst von : Edoardo Ardizzone, Roberto Gallea, Marco La Cascia, Marco Morana
Erschienen in: Image Analysis and Processing – ICIAP 2011
Verlag: Springer Berlin Heidelberg
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This paper presents a novel approach for the automatic generation of image slideshows. Counter to standard cross-fading, the idea is to operate the image transitions keeping the subject focused in the intermediate frames by automatically identifying him/her and preserving face and facial features alignment. This is done by using a novel Active Shape Model and time-series Image Registration. The final result is an aesthetically appealing slideshow which emphasizes the subject. The results have been evaluated with a users’ response survey. The outcomes show that the proposed slideshow concept is widely preferred by final users w.r.t. standard image transitions.