Name
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. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-24085-0_25 | ICIAP (1) |
Keywords | Field | DocType |
novel approach,standard image transition,novel active shape model,final users w,subject-based image transition,final result,proposed slideshow concept,automatic generation,image slideshows,aesthetically appealing slideshow,standard cross-fading,image registration | Computer vision,Active shape model,Automatic image annotation,Pattern recognition,Feature detection (computer vision),Computer science,Image processing,Artificial intelligence,Image registration | Conference |
Volume | ISSN | Citations |
6978 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 12 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Edoardo Ardizzone | 1 | 239 | 40.79 |
| Roberto Gallea | 2 | 49 | 8.66 |
| Marco La Cascia | 3 | 655 | 71.39 |
| Marco Morana | 4 | 111 | 14.78 |