Content-Aware image resizing based on aesthetic

Authors:
Jia-Shing Sheu;Yi-Ching Kao;Hao Chu
Affiliations:
Department of Computer Science, National Taipei University of Education, Taiwan;Department of Computer Science, National Taipei University of Education, Taiwan;Department of Computer Science, National Taipei University of Education, Taiwan
Venue:
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part I
Year:
2012

Citing 4
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Abstract

This paper presents an image resizing system, the purpose is to build an image resizing system based on aesthetic composition including rule of thirds and subject position. With global operations, using the traditional scaling and non-traditional content-aware image resizing do the global operation, supplemented by photo rating for adaptive adjustment to reduce user operation with clear quantitative criteria as a basis for adjustment. In non-traditional content-aware image resizing, two algorithms are used, Seam Carving for Content-Aware Image Resizing and Adaptive Content-Aware Image Resizing, to adjust path detection with Otsu's Method according to the above-mentioned algorithm diagram.