Article

De-emphasis of distracting image regions using texture power maps

Authors:

Sara L. Su,

Frédo Durand,

Maneesh AgrawalaAuthors Info & Claims

APGV '05: Proceedings of the 2nd symposium on Applied perception in graphics and visualization

Page 164

https://doi.org/10.1145/1080402.1080445

Published: 26 August 2005 Publication History

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Abstract

A major obstacle in photography is the presence of distracting elements that pull attention away from the main subject and clutter the composition. Photographers have developed post-processing techniques to reduce the salience of distractors by altering low-level features to which the visual system is particularly attuned: sharpness, brightness, chromaticity, or saturation. Biologically-inspired models of attention identify salient regions as statistical outliers in these feature distributions. One low-level feature that cannot be directly manipulated with existing image-editing software is texture variation. Psychophysical studies have shown that discontinuities in texture can elicit an edge perception similar to that triggered by color discontinuities.

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Yokoro KPerusquia-Hernandez MIsoyama NUchiyama HKiyokawa KWard JMcGill MMarky K(2023)DecluttAR: An Interactive Visual Clutter Dimming System to Help Focus on WorkProceedings of the Augmented Humans International Conference 202310.1145/3582700.3582718(159-170)Online publication date: 12-Mar-2023
https://dl.acm.org/doi/10.1145/3582700.3582718
Miangoleh SBylinskii ZKee EShechtman EAksoy Y(2023)Realistic Saliency Guided Image Enhancement2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52729.2023.00026(186-194)Online publication date: Jun-2023
https://doi.org/10.1109/CVPR52729.2023.00026
Sutton JLanglotz TPlopski AZollmann SItoh YRegenbrecht H(2022)Look over there! Investigating Saliency Modulation for Visual Guidance with Augmented Reality GlassesProceedings of the 35th Annual ACM Symposium on User Interface Software and Technology10.1145/3526113.3545633(1-15)Online publication date: 29-Oct-2022
https://dl.acm.org/doi/10.1145/3526113.3545633
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De-emphasis of distracting image regions using texture power maps
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks
  2. Computer graphics

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Information

Published In

APGV '05: Proceedings of the 2nd symposium on Applied perception in graphics and visualization

August 2005

187 pages

ISBN:1595931392

DOI:10.1145/1080402

Conference Chairs:
Heinrich Bülthoff
Max-Planck Institute for Biological Cybernetics
,
Tom Troscianko
University of Bristol

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 August 2005

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APGV05

Sponsor:

SIGGRAPH

APGV05: ACM Symposium on Applied Perception in Graphics and Visualization 2005

August 26 - 28, 2005

A Coroña, Spain

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Overall Acceptance Rate 19 of 33 submissions, 58%

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Yokoro KPerusquia-Hernandez MIsoyama NUchiyama HKiyokawa KWard JMcGill MMarky K(2023)DecluttAR: An Interactive Visual Clutter Dimming System to Help Focus on WorkProceedings of the Augmented Humans International Conference 202310.1145/3582700.3582718(159-170)Online publication date: 12-Mar-2023
https://dl.acm.org/doi/10.1145/3582700.3582718
Miangoleh SBylinskii ZKee EShechtman EAksoy Y(2023)Realistic Saliency Guided Image Enhancement2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52729.2023.00026(186-194)Online publication date: Jun-2023
https://doi.org/10.1109/CVPR52729.2023.00026
Sutton JLanglotz TPlopski AZollmann SItoh YRegenbrecht H(2022)Look over there! Investigating Saliency Modulation for Visual Guidance with Augmented Reality GlassesProceedings of the 35th Annual ACM Symposium on User Interface Software and Technology10.1145/3526113.3545633(1-15)Online publication date: 29-Oct-2022
https://dl.acm.org/doi/10.1145/3526113.3545633
Ren XLi JHua ZJiang X(2021)Consistent image processing based on co‐saliencyCAAI Transactions on Intelligence Technology10.1049/cit2.120206:3(324-337)Online publication date: 5-Mar-2021
https://doi.org/10.1049/cit2.12020
Grogorick STauscher JHeesen NCastillo SMagnor M(2020)Stereo Inverse Brightness Modulation for Guidance in Dynamic Panorama Videos in Virtual RealityComputer Graphics Forum10.1111/cgf.1409139:6(542-553)Online publication date: 29-Aug-2020
https://doi.org/10.1111/cgf.14091
Furuta RInoue NYamasaki T(2020)PixelRL: Fully Convolutional Network With Reinforcement Learning for Image ProcessingIEEE Transactions on Multimedia10.1109/TMM.2019.296063622:7(1704-1719)Online publication date: Jul-2020
https://doi.org/10.1109/TMM.2019.2960636
Li JFeng XFan H(2020)Saliency-based image correction for colorblind patientsComputational Visual Media10.1007/s41095-020-0172-x6:2(169-189)Online publication date: 10-Jun-2020
https://doi.org/10.1007/s41095-020-0172-x
Mejjati YGomez CKim KShechtman EBylinskii Z(2020)Look Here! A Parametric Learning Based Approach to Redirect Visual AttentionComputer Vision – ECCV 202010.1007/978-3-030-58592-1_21(343-361)Online publication date: 3-Nov-2020
https://doi.org/10.1007/978-3-030-58592-1_21
Liu XLiu ZJiao QLe Meur OZhao W(2019)Saliency-aware inter-image color transfer for image manipulationMultimedia Tools and Applications10.1007/s11042-019-7450-6Online publication date: 29-Mar-2019
https://doi.org/10.1007/s11042-019-7450-6
Mechrez RShechtman EZelnik-Manor L(2019)Saliency driven image manipulationMachine Vision and Applications10.1007/s00138-018-01000-w30:2(189-202)Online publication date: 1-Mar-2019
https://dl.acm.org/doi/10.1007/s00138-018-01000-w
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