Automatically converting photographic series into video
Proceedings of the 12th annual ACM international conference on Multimedia
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Blocked recursive image composition
MM '08 Proceedings of the 16th ACM international conference on Multimedia
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We present a 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 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 content awareness, our system creates slideshows with more fluid, dynamic and visually pleasing structure compared to existing tiling slideshows [Chen06] and photo-to-video [Hua04] systems. Finally, the rendering of the slideshow is implemented in GPU, which significantly decreases the creation time of the slideshow and improves its quality.