Global image analysis to determine suitability for text-based image personalization

Hengzhou Ding; Raja Bala; Zhigang Fan; Charles A Bouman; Jan P. Allebach

doi:10.1117/12.914251

21 February 2012 Global image analysis to determine suitability for text-based image personalization

Hengzhou Ding, Raja Bala, Zhigang Fan, Charles A Bouman, Jan P. Allebach

Proceedings Volume 8302, Imaging and Printing in a Web 2.0 World III; 83020S (2012) https://doi.org/10.1117/12.914251
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States

Abstract

Lately, image personalization is becoming an interesting topic. Images with variable elements such as text usually appear much more appealing to the recipients. In this paper, we describe a method to pre-analyze the image and automatically suggest to the user the most suitable regions within an image for text-based personalization. The method is based on input gathered from experiments conducted with professional designers. It has been observed that regions that are spatially smooth and regions with existing text (e.g. signage, banners, etc.) are the best candidates for personalization. This gives rise to two sets of corresponding algorithms: one for identifying smooth areas, and one for locating text regions. Furthermore, based on the smooth and text regions found in the image, we derive an overall metric to rate the image in terms of its suitability for personalization (SFP).

Citation Download Citation

Hengzhou Ding, Raja Bala, Zhigang Fan, Charles A Bouman, and Jan P. Allebach "Global image analysis to determine suitability for text-based image personalization", Proc. SPIE 8302, Imaging and Printing in a Web 2.0 World III, 83020S (21 February 2012); https://doi.org/10.1117/12.914251

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KEYWORDS

Distance measurement

Image analysis

Algorithm development

Visualization

Image segmentation

3D modeling

Fluctuations and noise

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