Modeling perspective effects in photographic composition

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Automatic understanding of photo composition is a valuable technology in multiple areas including digital photography, multimedia advertising, entertainment, and image retrieval. In this paper, we propose a method to model geometrically the compositional effects of linear perspective. Comparing with existing methods which have focused on basic rules of design such as simplicity, visual balance, golden ratio, and the rule of thirds, our new quantitative model is more comprehensive whenever perspective is relevant. We first develop a new hierarchical segmentation algorithm that in-tegrates classic photometric cues with a new geometric cue inspired by perspective geometry. We then show how these cues can be used directly to detect the dominant vanish-ing point in an image without extracting any line segments, a technique with implications for multimedia applications beyond this work. Finally, we demonstrate an interesting application of the proposed method for providing on-site composition feedback through an image retrieval system.

Original languageEnglish (US)
Title of host publicationMM 2015 - Proceedings of the 2015 ACM Multimedia Conference
PublisherAssociation for Computing Machinery, Inc
Pages301-310
Number of pages10
ISBN (Electronic)9781450334594
DOIs
StatePublished - Oct 13 2015
Event23rd ACM International Conference on Multimedia, MM 2015 - Brisbane, Australia
Duration: Oct 26 2015Oct 30 2015

Publication series

NameMM 2015 - Proceedings of the 2015 ACM Multimedia Conference

Other

Other23rd ACM International Conference on Multimedia, MM 2015
CountryAustralia
CityBrisbane
Period10/26/1510/30/15

Fingerprint

Image retrieval
Photocomposition
Photography
Chemical analysis
Marketing
Feedback
Geometry

All Science Journal Classification (ASJC) codes

  • Media Technology
  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Software

Cite this

Zhou, Z., He, S., Li, J., & Wang, J. Z. (2015). Modeling perspective effects in photographic composition. In MM 2015 - Proceedings of the 2015 ACM Multimedia Conference (pp. 301-310). (MM 2015 - Proceedings of the 2015 ACM Multimedia Conference). Association for Computing Machinery, Inc. https://doi.org/10.1145/2733373.2806248
Zhou, Zihan ; He, Siqiong ; Li, Jia ; Wang, James Z. / Modeling perspective effects in photographic composition. MM 2015 - Proceedings of the 2015 ACM Multimedia Conference. Association for Computing Machinery, Inc, 2015. pp. 301-310 (MM 2015 - Proceedings of the 2015 ACM Multimedia Conference).
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abstract = "Automatic understanding of photo composition is a valuable technology in multiple areas including digital photography, multimedia advertising, entertainment, and image retrieval. In this paper, we propose a method to model geometrically the compositional effects of linear perspective. Comparing with existing methods which have focused on basic rules of design such as simplicity, visual balance, golden ratio, and the rule of thirds, our new quantitative model is more comprehensive whenever perspective is relevant. We first develop a new hierarchical segmentation algorithm that in-tegrates classic photometric cues with a new geometric cue inspired by perspective geometry. We then show how these cues can be used directly to detect the dominant vanish-ing point in an image without extracting any line segments, a technique with implications for multimedia applications beyond this work. Finally, we demonstrate an interesting application of the proposed method for providing on-site composition feedback through an image retrieval system.",
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Zhou, Z, He, S, Li, J & Wang, JZ 2015, Modeling perspective effects in photographic composition. in MM 2015 - Proceedings of the 2015 ACM Multimedia Conference. MM 2015 - Proceedings of the 2015 ACM Multimedia Conference, Association for Computing Machinery, Inc, pp. 301-310, 23rd ACM International Conference on Multimedia, MM 2015, Brisbane, Australia, 10/26/15. https://doi.org/10.1145/2733373.2806248

Modeling perspective effects in photographic composition. / Zhou, Zihan; He, Siqiong; Li, Jia; Wang, James Z.

MM 2015 - Proceedings of the 2015 ACM Multimedia Conference. Association for Computing Machinery, Inc, 2015. p. 301-310 (MM 2015 - Proceedings of the 2015 ACM Multimedia Conference).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - Automatic understanding of photo composition is a valuable technology in multiple areas including digital photography, multimedia advertising, entertainment, and image retrieval. In this paper, we propose a method to model geometrically the compositional effects of linear perspective. Comparing with existing methods which have focused on basic rules of design such as simplicity, visual balance, golden ratio, and the rule of thirds, our new quantitative model is more comprehensive whenever perspective is relevant. We first develop a new hierarchical segmentation algorithm that in-tegrates classic photometric cues with a new geometric cue inspired by perspective geometry. We then show how these cues can be used directly to detect the dominant vanish-ing point in an image without extracting any line segments, a technique with implications for multimedia applications beyond this work. Finally, we demonstrate an interesting application of the proposed method for providing on-site composition feedback through an image retrieval system.

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Zhou Z, He S, Li J, Wang JZ. Modeling perspective effects in photographic composition. In MM 2015 - Proceedings of the 2015 ACM Multimedia Conference. Association for Computing Machinery, Inc. 2015. p. 301-310. (MM 2015 - Proceedings of the 2015 ACM Multimedia Conference). https://doi.org/10.1145/2733373.2806248