@inbook{54c2018cb8f644cd9962b6599c59b5da,
title = "Automatic Generation of Subject-Based Image Transitions",
abstract = "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{\textquoteright} response survey. The outcomes show that the proposed slideshow concept is widely preferred by final users w.r.t. standard image transitions.",
keywords = "Face processing, image morphing, image registration, Face processing, image morphing, image registration",
author = "Roberto Gallea and Edoardo Ardizzone and {La Cascia}, Marco and Marco Morana",
year = "2011",
language = "English",
isbn = "978-3-642-24087-4",
series = "Lecture Notes in Computer Science",
pages = "237--246",
booktitle = "Image Analysis and Processing - ICIAP 2011",
}