iSlideShow: a content-aware slideshow system

  • Authors:

  • Jiajian Chen;Jun Xiao;Yuli Gao

  • Affiliations:

  • Georgia Institute of Technology, Altanta, GA, USA;HP Labs, Palo Alto, CA, USA;HP Labs, Palo Alto, GA, USA

  • Venue:
  • Proceedings of the 15th international conference on Intelligent user interfaces
  • Year:
  • 2010

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Abstract

We 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.