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Photo Composition Feedback and Enhancement

Exploiting Spatial Design Categories and the Notan Dark-Light Principle

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Mobile Cloud Visual Media Computing

Abstract

In this chapter, we present techniques to provide composition feedback and enhancement for photographs. In order to suit mobile applications, we have designed systems requiring minimal input from the users. The essence of composition is to create unity in a picture, which includes the balance of visual elements from many aspects. We hereby explore several fundamental concepts in composition and develop our new methods accordingly. Albeit much exploited by artists, these concepts have barely crossed over to multimedia or computer vision research. First, we have developed a tool to categorize images by spatial design into diagonal, horizontal, vertical, and centered composition types. Composition in this regard is known to be well associated with aesthetics and emotional response. For instance, placing visual elements diagonally creates a sense of movement; and horizontal placement tends to convey tranquility. This composition analysis tool enables the retrieval of highly aesthetic exemplar images from the corpus which are similar in content and composition to the snapshot. Second, the arrangement of dark and light masses in a picture, referred to as Notan in visual art, is a crucial factor in composition. We propose an approach to adjust the tonal values in an image, targeting directly at achieving an aesthetically more appealing Notan. This method addresses composition enhancement from a high level of spatial arrangement, a remarkable difference from improving relatively low-level characteristics such as contrast and dynamic ranges.

Lei Yao done this work when she was with College of Information Sciences and Technology, The Pennsylvania State University, University Park, Pennsylvania, USA.

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Notes

  1. 1.

    http://www.digital-photography-school.com/using-diagonal-lines-in-photography.

  2. 2.

    http://www.picture-thoughts.com/photography/compos-ition/angle/.

  3. 3.

    http://www.great-landscape-photography.com/photography-composition.html.

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Acknowledgments

This material is based upon work supported by the National Science Foundation under Grant Nos. 0347148 and 0936948.

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Authors and Affiliations

  1. Department of Statistics, The Pennsylvania State University, University Park, PA, USA

    Jia Li

  2. Houzz Inc., Palo Alto, CA, USA

    Lei Yao

  3. College of Information Sciences and Technology, The Pennsylvania State University, University Park, PA, USA

    James Z. Wang

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  1. Jia Li
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  2. Lei Yao
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  3. James Z. Wang
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Correspondence to James Z. Wang .

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Editors and Affiliations

  1. Visual Computing Group, Microsoft Research Asia, Beijing, Beijing, China

    Gang Hua

  2. Alibaba Group, Hangzhou, Zhejiang, China

    Xian-Sheng Hua

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Li, J., Yao, L., Wang, J.Z. (2015). Photo Composition Feedback and Enhancement. In: Hua, G., Hua, XS. (eds) Mobile Cloud Visual Media Computing. Springer, Cham. https://doi.org/10.1007/978-3-319-24702-1_5

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  • DOI: https://doi.org/10.1007/978-3-319-24702-1_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24700-7

  • Online ISBN: 978-3-319-24702-1

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