In deciding where to place a text block on an image, there are two major factors: aesthetic of the design composition, and the visual attention that the text block naturally attracts. We propose a computational model to address this problem based on the principles of visual balance and the diagonal method of placing emphasis. A between-subject study with seven participants was conducted to validate our model with subjective ratings. Eight color photographs were used to generate a set of text-overlaid images as the stimuli. Participants rated the stimuli for aesthetic appeal on a seven-point likert scale. Results show that the participants preferred text-overlaid images generated by our method of text placement over random text placement. © 2013 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Malu, G., & Indurkhya, B. (2013). An approach to optimal text placement on images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8019 LNAI, pp. 68–74). Springer Verlag. https://doi.org/10.1007/978-3-642-39360-0_8
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