The aesthetic appeal of depth of field in photographs

We report here how depth of field (DOF) affects the aesthetic appeal of photographs for different content categories. 339 photographs spanning eight categories were selected from Flickr, Google+, and personal collections. First, we classified the 339 photographs into three levels of depth of field: small, medium, and large. Then, we asked participants to rate the aesthetic appeal of these photographs in random order. We found that aesthetic appeal is only influenced significantly by the content category and by depth of field for animal and sport related photographs. Therefore, we conclude that depth of field should not be regarded as a common criterion for judging aesthetic appeal in different semantic content categories.

[1]  Mislav Grgic,et al.  Aesthetic quality assessment of headshots , 2013, Proceedings ELMAR-2013.

[2]  D. Berlyne,et al.  Aesthetics and Psychobiology , 1975 .

[3]  E. Wolf,et al.  Principles of Optics (7th Ed) , 1999 .

[4]  James Ze Wang,et al.  Unsupervised Multiresolution Segmentation for Images with Low Depth of Field , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[5]  Emil Wolf,et al.  Principles of Optics: Contents , 1999 .

[6]  James Ze Wang,et al.  Algorithmic inferencing of aesthetics and emotion in natural images: An exposition , 2008, 2008 15th IEEE International Conference on Image Processing.

[7]  Gabriele Peters,et al.  Aesthetic Primitives of Images for Visualization , 2007, 2007 11th International Conference Information Visualization (IV '07).

[8]  Vicente Ordonez,et al.  High level describable attributes for predicting aesthetics and interestingness , 2011, CVPR 2011.

[9]  Carman Neustaedter,et al.  Image harmony for consumer images , 2008, 2008 15th IEEE International Conference on Image Processing.

[10]  Jiebo Luo,et al.  Aesthetics and Emotions in Images , 2011, IEEE Signal Processing Magazine.

[11]  Touradj Ebrahimi,et al.  Implicit experiences as a determinant of perceptual quality and aesthetic appreciation , 2011, ACM Multimedia.

[12]  Tobias Hoßfeld,et al.  SOS: The MOS is not enough! , 2011, 2011 Third International Workshop on Quality of Multimedia Experience.

[13]  Alexander C. Loui,et al.  Measuring the perceived aesthetic quality of photographic images , 2009, 2009 International Workshop on Quality of Multimedia Experience.

[14]  W. Chu.  Studying Aesthetics in Photographic Images Using a Computational Approach , 2013 .

[15]  Antonella De Angeli,et al.  Towards a theory of user judgment of aesthetics and user interface quality , 2008, TCHI.

[16]  Nuria Oliver,et al.  Towards Category-Based Aesthetic Models of Photographs , 2012, MMM.

[17]  Peter Schelkens,et al.  Qualinet White Paper on Definitions of Quality of Experience , 2013 .

[18]  H. Nefs.  Depth of field affects perceived depth-width ratios in photographs of natural scenes. , 2012, Seeing and perceiving.

[19]  Alexander C. Loui,et al.  Automatic aesthetic value assessment in photographic images , 2010, 2010 IEEE International Conference on Multimedia and Expo.

[20]  I. Heynderickx,et al.  Human Discrimination of Depth of Field in Stereoscopic and Nonstereoscopic Photographs , 2014, Perception.

[21]  Tsuhan Chen,et al.  Towards aesthetics: a photo quality assessment and photo selection system , 2010, ACM Multimedia.

[22]  Alexander C. Loui,et al.  Investigating two features of aesthetic perception in consumer photographic images: clutter and center , 2011, Electronic Imaging.

[23]  H. Konik,et al.  Enhanced image saliency model based on blur identification , 2010, 2010 25th International Conference of Image and Vision Computing New Zealand.

[24]  Judith Redi.  Visual quality beyond artifact visibility , 2013, Electronic Imaging.

[25]  Xiaoou Tang,et al.  Photo and Video Quality Evaluation: Focusing on the Subject , 2008, ECCV.

[26]  Yan Ke,et al.  The Design of High-Level Features for Photo Quality Assessment , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[27]  Tsuhan Chen,et al.  Aesthetic quality assessment of consumer photos with faces , 2010, 2010 IEEE International Conference on Image Processing.