Aesthetic composition represetation for portrait photographing recommendation

Yanhao Zhang; Xiaoshuai Sun; Hongxun Yao; Lei Qin; Qingming Huang

doi:10.1109/ICIP.2012.6467469

Aesthetic composition represetation for portrait photographing recommendation

Yanhao Zhang^*
, Xiaoshuai Sun
, Hongxun Yao
, Lei Qin
, Qingming Huang

^*Corresponding author for this work

School of Computer Science and Technology, Harbin Institute of Technology
CAS - Institute of Computing Technology
University of Chinese Academy of Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

14 Scopus citations

Abstract

In this paper, we present an intelligent portrait photographing framework for automatically recommending the suitable positions and poses in the scene of photography taken by amateurs. By analyzing aesthetic characteristics features, we propose a solution by constructing aesthetic composition representation which covers the attention composition and geometry composition to identify the underlying technique of professional photographer. First, we extract the attention composition feature of the professional photo by utilizing a visual saliency model. Then, a geometry composition feature is also presented to learn the spatial correlation. Finally, composition rules are applied to make appropriate pose and position. Experiments show our aesthetic composition representation performs well for portrait photographing recommendation.

Original language	English
Title of host publication	2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings
Pages	2753-2756
Number of pages	4
DOIs	https://doi.org/10.1109/ICIP.2012.6467469
State	Published - 2012
Externally published	Yes
Event	2012 19th IEEE International Conference on Image Processing, ICIP 2012 - Lake Buena Vista, FL, United States Duration: 30 Sep 2012 → 3 Oct 2012

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
ISSN (Print)	1522-4880

Conference

Conference	2012 19th IEEE International Conference on Image Processing, ICIP 2012
Country/Territory	United States
City	Lake Buena Vista, FL
Period	30/09/12 → 3/10/12

Keywords

Aesthetic Recommendation
Attention and Geometry Composition
Composition Rules

Access to Document

10.1109/ICIP.2012.6467469

Cite this

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title = "Aesthetic composition represetation for portrait photographing recommendation",

abstract = "In this paper, we present an intelligent portrait photographing framework for automatically recommending the suitable positions and poses in the scene of photography taken by amateurs. By analyzing aesthetic characteristics features, we propose a solution by constructing aesthetic composition representation which covers the attention composition and geometry composition to identify the underlying technique of professional photographer. First, we extract the attention composition feature of the professional photo by utilizing a visual saliency model. Then, a geometry composition feature is also presented to learn the spatial correlation. Finally, composition rules are applied to make appropriate pose and position. Experiments show our aesthetic composition representation performs well for portrait photographing recommendation.",

keywords = "Aesthetic Recommendation, Attention and Geometry Composition, Composition Rules",

author = "Yanhao Zhang and Xiaoshuai Sun and Hongxun Yao and Lei Qin and Qingming Huang",

year = "2012",

doi = "10.1109/ICIP.2012.6467469",

language = "英语",

isbn = "9781467325332",

series = "Proceedings - International Conference on Image Processing, ICIP",

pages = "2753--2756",

booktitle = "2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings",

note = "2012 19th IEEE International Conference on Image Processing, ICIP 2012 ; Conference date: 30-09-2012 Through 03-10-2012",

}

Zhang, Y, Sun, X, Yao, H, Qin, L & Huang, Q 2012, Aesthetic composition represetation for portrait photographing recommendation. in 2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings., 6467469, Proceedings - International Conference on Image Processing, ICIP, pp. 2753-2756, 2012 19th IEEE International Conference on Image Processing, ICIP 2012, Lake Buena Vista, FL, United States, 30/09/12. https://doi.org/10.1109/ICIP.2012.6467469

Aesthetic composition represetation for portrait photographing recommendation. / Zhang, Yanhao; Sun, Xiaoshuai; Yao, Hongxun et al.
2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings. 2012. p. 2753-2756 6467469 (Proceedings - International Conference on Image Processing, ICIP).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Aesthetic composition represetation for portrait photographing recommendation

AU - Zhang, Yanhao

AU - Sun, Xiaoshuai

AU - Yao, Hongxun

AU - Qin, Lei

AU - Huang, Qingming

PY - 2012

Y1 - 2012

N2 - In this paper, we present an intelligent portrait photographing framework for automatically recommending the suitable positions and poses in the scene of photography taken by amateurs. By analyzing aesthetic characteristics features, we propose a solution by constructing aesthetic composition representation which covers the attention composition and geometry composition to identify the underlying technique of professional photographer. First, we extract the attention composition feature of the professional photo by utilizing a visual saliency model. Then, a geometry composition feature is also presented to learn the spatial correlation. Finally, composition rules are applied to make appropriate pose and position. Experiments show our aesthetic composition representation performs well for portrait photographing recommendation.

AB - In this paper, we present an intelligent portrait photographing framework for automatically recommending the suitable positions and poses in the scene of photography taken by amateurs. By analyzing aesthetic characteristics features, we propose a solution by constructing aesthetic composition representation which covers the attention composition and geometry composition to identify the underlying technique of professional photographer. First, we extract the attention composition feature of the professional photo by utilizing a visual saliency model. Then, a geometry composition feature is also presented to learn the spatial correlation. Finally, composition rules are applied to make appropriate pose and position. Experiments show our aesthetic composition representation performs well for portrait photographing recommendation.

KW - Aesthetic Recommendation

KW - Attention and Geometry Composition

KW - Composition Rules

UR - https://www.scopus.com/pages/publications/84875820670

U2 - 10.1109/ICIP.2012.6467469

DO - 10.1109/ICIP.2012.6467469

M3 - 会议稿件

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SN - 9781467325332

T3 - Proceedings - International Conference on Image Processing, ICIP

SP - 2753

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BT - 2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings

T2 - 2012 19th IEEE International Conference on Image Processing, ICIP 2012

Y2 - 30 September 2012 through 3 October 2012

ER -

Aesthetic composition represetation for portrait photographing recommendation

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Keywords

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