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Interactive Photographic Shooting Assistance Based on Composition and Saliency

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Computational Science and Its Applications – ICCSA 2013 (ICCSA 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7975))

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Abstract

When taking photographs, compositions support them to clarify the subject. The preliminary survey indicated that the professional photographers apply 1.7 types of composition on average; they tend to apply multiple types of compositions, such as triangular, diagonal and contrasting compositions in one photo. The proposed method considers co-occurrence of recognized compositions and candidate proposing compositions. We propose a novel photo shooting method which suggests one or more types of compositions and superimposes the suggestions on the photo being taken. Semantic differential method revealed that the proposed method increases compositional effects on the photograph.

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Author information

Authors and Affiliations

  1. Japan Advanced Institute of Science and Technology, 1-1 Asahidai, Nomi, Ishikawa, Japan

    Hiroko Mitarai, Yoshihiro Itamiya & Atsuo Yoshitaka

Authors
  1. Hiroko Mitarai
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  2. Yoshihiro Itamiya
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  3. Atsuo Yoshitaka
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Editor information

Editors and Affiliations

  1. L-I.S.U.T. - D.A.P.I.t. Facoltà Ingegneria, Università degli Studi della Basilicata, Viale dell’Ateneo Lucano, 10, 85100, Potenza, Italy

    Beniamino Murgante

  2. Covenant University, Canaanland OTA, Nigeria

    Sanjay Misra

  3. Partimento di Scienze e Tecnologie per LAgricoltura, le Foreste, la Natura e lEnergia, Università degli Studi della Tuscia, Via S. Camillo de Lellis, snc, 01100, Viterbo, Italy

    Maurizio Carlini

  4. Dipartimento di Scienze dell’Ingegneria Civile e dell’Architecttura, Politecnico di Bari, Via Orabona, 4, 70125, Bari, Italy

    Carmelo M. Torre

  5. International University VNU-HCM, Quarter 6, Linh Trung, Thu Duc, Ho Chi Minh City, Vietnam

    Hong-Quang Nguyen

  6. School of Business Systems, Monash University, 3800, Clayton, VIC, Australia

    David Taniar

  7. Department of Intelligent Informatics, Kyushu Sangyo University, 2-3-1 Matsukadai, 813-8503, Higashi-ku, Fukuoka, Japan

    Bernady O. Apduhan

  8. Department of Mathematics and Computer Science, University of Perugia, Via Vanvitelli, 1, 06123, Perugia, Italy

    Osvaldo Gervasi

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Mitarai, H., Itamiya, Y., Yoshitaka, A. (2013). Interactive Photographic Shooting Assistance Based on Composition and Saliency. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2013. ICCSA 2013. Lecture Notes in Computer Science, vol 7975. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39640-3_26

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  • DOI: https://doi.org/10.1007/978-3-642-39640-3_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39639-7

  • Online ISBN: 978-3-642-39640-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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