Automatic Generation of Subject-Based Image Transitions

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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’ response survey. The outcomes show that the proposed slideshow concept is widely preferred by final users w.r.t. standard image transitions.
Lingua originaleEnglish
Titolo della pubblicazione ospiteImage Analysis and Processing - ICIAP 2011
Pagine237-246
Numero di pagine10
Stato di pubblicazionePublished - 2011

Serie di pubblicazioni

NomeLecture Notes in Computer Science

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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