Optimized image resizing using flow-guided seam carving and an interactive genetic algorithm
- Title
- Optimized image resizing using flow-guided seam carving and an interactive genetic algorithm
- Author
- 강형우
- Keywords
- Image resizing; Structure-aware energy field; Interactive genetic algorithm
- Issue Date
- 2014-08
- Publisher
- SPRINGER
- Citation
- MULTIMEDIA TOOLS AND APPLICATIONS, 2014, 71(3), p.1013-1031
- Abstract
- In this paper, we introduce a novel method for content-aware image resizing based on flow-guided seam carving. It extends the existing seam carving framework by replacing the conventional energy field with a "structure-aware" energy field that takes into account the feature orientations in the image. Guided by this new energy field, our approach excels in preserving (i.e., avoiding the distortion of) important structures in the image, such as shape boundaries. We also present a simple user interface to further optimize the resizing result based on the genetic selection process among multiple resizing operators such as scaling, cropping, and flow-guided seam carving. We show that such simple user interaction, coupled with the genetic algorithm, dramatically increases the chances of producing the user-desired outcome.
- URI
- https://link.springer.com/article/10.1007/s11042-012-1242-6http://hdl.handle.net/20.500.11754/47883
- ISSN
- 1380-7501; 1573-7721
- DOI
- 10.1007/s11042-012-1242-6
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE(컴퓨터소프트웨어학부) > Articles
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