6533b823fe1ef96bd127ecc2
RESEARCH PRODUCT
Automatic Generation of Subject-Based Image Transitions
Marco MoranaEdoardo ArdizzoneMarco La CasciaRoberto Galleasubject
Face processing; image morphing; image registrationComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage registrationSubject (documents)Image processingimage morphingImage (mathematics)image registrationAutomatic image annotationActive shape modelFace (geometry)Face processingComputer visionArtificial intelligencebusinessFeature detection (computer vision)description
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2011-09-14 |