Influence of affective image content on subjective quality assessment.

Image quality assessment (IQA) enables distortions introduced into an image (e.g., through lossy compression or broadcast) to be measured and evaluated for severity. It is unclear to what degree affective image content may influence this process. In this study, participants (n=25) were found to be unable to disentangle affective image content from objective image quality in a standard IQA procedure (single stimulus numerical categorical scale). We propose that this issue is worthy of consideration, particularly in single stimulus IQA techniques, in which a small number of handpicked images, not necessarily representative of the gamut of affect seen in true broadcasting, and unrated for affective content, serve as stimuli.

[1]  Yuukou Horita,et al.  No-Reference Image Quality Evaluation Model for JPEG and JPEG2000 Images , 2008 .

[2]  Alan C. Bovik,et al.  Video Quality Assessment , 2009 .

[3]  G. Clore,et al.  Mood, misattribution, and judgments of well-being: Informative and directive functions of affective states. , 1983 .

[4]  Stefan Winkler,et al.  Issues in vision modeling for perceptual video quality assessment , 1999, Signal Process..

[5]  Alan C. Bovik,et al.  41 OBJECTIVE VIDEO QUALITY ASSESSMENT , 2003 .

[6]  Hans-Jurgen Zepernick,et al.  Subjective Quality Assessment for Wireless Image Communication : The Wireless Imaging Quality Database , 2010 .

[7]  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.

[8]  A. Bovik,et al.  OBJECTIVE VIDEO QUALITY ASSESSMENT , 2003 .

[9]  M. Bradley,et al.  Looking at pictures: affective, facial, visceral, and behavioral reactions. , 1993, Psychophysiology.

[10]  Yuukou Horita,et al.  Impact of subjective dataset on the performance of image quality metrics , 2008, 2008 15th IEEE International Conference on Image Processing.

[11]  Yuejia Luo,et al.  Dissociable Modulation of Overt Visual Attention in Valence and Arousal Revealed by Topology of Scan Path , 2011, PloS one.

[12]  A. Bouhuys,et al.  Induction of depressed and elated mood by music influences the perception of facial emotional expressions in healthy subjects. , 1995, Journal of affective disorders.

[13]  Weisi Lin,et al.  Perceptual visual quality metrics: A survey , 2011, J. Vis. Commun. Image Represent..

[14]  Patrick Le Callet,et al.  Subjective quality assessment IRCCyN/IVC database , 2004 .

[15]  Paul S. Fisher,et al.  Image quality measures and their performance , 1995, IEEE Trans. Commun..

[16]  Michel Tuan Pham,et al.  When Arousal Influences Ad Evaluation and Valence Does Not (and Vice Versa) , 2001 .

[17]  Alan C. Bovik,et al.  Foveated analysis of image features at fixations , 2007, Vision Research.

[18]  Eero P. Simoncelli,et al.  Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.

[19]  J. Bruner,et al.  Value and need as organizing factors in perception. , 1947, Journal of abnormal psychology.

[20]  Sheila S. Hemami,et al.  VSNR: A Wavelet-Based Visual Signal-to-Noise Ratio for Natural Images , 2007, IEEE Transactions on Image Processing.

[21]  Huib de Ridder,et al.  Numerical category scaling: an efficient method for assessing digital image coding impairments , 1990, Other Conferences.

[22]  Eric C. Larson,et al.  Most apparent distortion: full-reference image quality assessment and the role of strategy , 2010, J. Electronic Imaging.

[23]  Gregory K. Wallace,et al.  The JPEG still picture compression standard , 1992 .

[24]  Alan C. Bovik,et al.  Visual Importance Pooling for Image Quality Assessment , 2009, IEEE Journal of Selected Topics in Signal Processing.

[25]  David J. Sheskin,et al.  Handbook of Parametric and Nonparametric Statistical Procedures , 1997 .

[26]  M. Bradley,et al.  Brain potentials in affective picture processing: covariation with autonomic arousal and affective report , 2000, Biological Psychology.

[27]  Nikolay N. Ponomarenko,et al.  TID2008 – A database for evaluation of full-reference visual quality assessment metrics , 2004 .

[28]  D. M. Green,et al.  Signal detection theory and psychophysics , 1966 .

[29]  Andries P. Hekstra,et al.  PVQM - A perceptual video quality measure , 2002, Signal Process. Image Commun..

[30]  K. Scherer,et al.  The Geneva affective picture database (GAPED): a new 730-picture database focusing on valence and normative significance , 2011, Behavior research methods.

[31]  Tsuhan Chen,et al.  > Replace This Line with Your Paper Identification Number (double-click Here to Edit) < , 2022 .

[32]  A. Bovik,et al.  A universal image quality index , 2002, IEEE Signal Processing Letters.

[33]  H. Aarts,et al.  PerCePtion in the serviCe of goAl Pursuit: motivAtion to AttAin goAls enhAnCes the PerCeived size of goAl-instrumentAl oBjeCts , 2008 .

[34]  Philip T. Kortum,et al.  The Effect of Content Desirability on Subjective Video Quality Ratings , 2010, Hum. Factors.

[35]  P. Lang,et al.  International Affective Picture System (IAPS): Instruction Manual and Affective Ratings (Tech. Rep. No. A-4) , 1999 .

[36]  M. Erb,et al.  Brain activity underlying emotional valence and arousal: A response‐related fMRI study , 2004, Human brain mapping.

[37]  T. Freeman,et al.  Eye-movements reduce the vividness, emotional valence and electrodermal arousal associated with negative autobiographical memories , 2004 .

[38]  M. Bradley,et al.  Remembering pictures: pleasure and arousal in memory. , 1992, Journal of experimental psychology. Learning, memory, and cognition.

[39]  Alan C. Bovik,et al.  Visual quality assessment algorithms: what does the future hold? , 2010, Multimedia Tools and Applications.

[40]  Andreas E. Savakis,et al.  Evaluation of image appeal in consumer photography , 2000, Electronic Imaging.

[41]  Alan C. Bovik,et al.  Image information and visual quality , 2006, IEEE Trans. Image Process..

[42]  Jacob Cohen,et al.  A power primer. , 1992, Psychological bulletin.

[43]  D. Proffitt,et al.  Visual-motor recalibration in geographical slant perception. , 1999, Journal of experimental psychology. Human perception and performance.

[44]  Wilson S. Geisler,et al.  Image quality assessment based on a degradation model , 2000, IEEE Trans. Image Process..

[45]  Rajiv Soundararajan,et al.  Study of Subjective and Objective Quality Assessment of Video , 2010, IEEE Transactions on Image Processing.

[46]  Zhou Wang,et al.  Image Quality Assessment: From Error Measurement to Structural Similarity , 2004 .

[47]  Jean-Bernard Martens,et al.  Quality asessment of coded images using numerical category scaling , 1995, Other Conferences.