Computer Vision
Aesthetic measures for automated document layout
Proceedings of the 2004 ACM symposium on Document engineering
Capturing the Layout of Electronic Documents for Reuse in Variable Data Printing
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Structured layout for resizable background art
IMCE '09 Proceedings of the 1st international workshop on Interactive multimedia for consumer electronics
MagicPhotobook: designer inspired, user perfected photo albums
MM '09 Proceedings of the 17th ACM international conference on Multimedia
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To enhance the visual effect of a photo, various digital borders or frames are provided for photo decoration at photo sharing websites. Even though multiple versions of the same border design may be prepared manually for several "standard" page or photo sizes, difficulty arises when the user's page or photo sizes are not one of the standards. Forcing a photo into the unfitted border will result in a cropped photo. This limits the use of digital borders and therefore the art designs. In this paper, we propose a method that automatically resizes the digital border for different paper sizes while preserving the look and feel of the original design. It analyzes the geometric layout and semantic structure of the digital border, and then based on the nature of the structures; it scales and moves them to the right place to reconstruct the digital border to the new page size.