Preserving the aesthetics during non-fixed aspect ratio scaling of the digital border

ABSTRACT

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.

REFERENCES

• 1: www.snapfish.com
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• 3: Chao, H., Fan, J., "Layout and Content Extraction for PDF Documents." In proceeding of IAPR Int. workshop on Document Analysis Systems, 2004.
• 4: Dana Harry Ballard , Christopher M. Brown, Computer Vision, Prentice Hall Professional Technical Reference, 1982
• 5: Birkhoff, G.D.,"Aesthetic measure" Harvard University Press, 1933.
• 6: Steven J. Harrington , J. Fernando Naveda , Rhys Price Jones , Paul Roetling , Nishant Thakkar, Aesthetic measures for automated document layout, Proceedings of the 2004 ACM symposium on Document engineering, October 28-30, 2004, Milwaukee, Wisconsin, USA [doi>10.1145/1030397.1030419]

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.7 DOCUMENT AND TEXT PROCESSING
      I.7.2 Document Preparation
          Subjects: Desktop publishing

Additional Classification:
  I. Computing Methodologies
  I.4 IMAGE PROCESSING AND COMPUTER VISION
      I.4.5 Reconstruction
          Subjects: Transform methods

General Terms:
Algorithms

Keywords:
document layout, document scaling, image segmentation and reconstruction