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.
|Titolo della pubblicazione ospite||Image Analysis and Processing - ICIAP 2011|
|Numero di pagine||10|
|Stato di pubblicazione||Published - 2011|
|Nome||Lecture Notes in Computer Science|
- Theoretical Computer Science
- Computer Science(all)