Paper Reading #20: iSlideShow: a content-aware slideshow system

Reference Information

Title: iSlideshow: a Content-Aware Slideshow System
Authors: Jiajian Chen, Jun Xiao, Yuli Gao
Conference: IUI '10 Proceedings of the 15th international conference on Intelligent user interfaces

Summary

The authors present an intelligent photo slideshow system that automatically analyzes thematic information about the photo collection and utilizes such information to generate compositions and transitions in two modes: story-telling mode and person-highlighting mode. In the story-telling mode the system groups photos by a theme-based clustering algorithm and multiple photos in each theme cluster are seamlessly tiled on a slide. Multiple tiling layouts are generated for each theme cluster and the slideshow is animated by intra-cluster transitions. In the person-highlighting mode, the system first recognizes faces from photos and creates photo clusters for individuals. It then uses face areas as ROI (Regions of Interests) and creates various content-based transitions to highlight individuals in a cluster. With an emphasis on photo content, our system creates slideshows with more fluid, dynamic and meaningful structure compared to existing systems.

Figure 1.0 iSlideShow Interface

Discussion