View in EDS PDF Full Text

Image Appearance Exploration by Model-Based Navigation.

Saved in:
Bibliographic Details
Title: Image Appearance Exploration by Model-Based Navigation.
Authors: Shapira, L.1, Shamir, A.2, Cohen-Or, D.1
Source: Computer Graphics Forum. Apr2009, Vol. 28 Issue 2, p629-638. 10p. 3 Color Photographs, 1 Illustration, 8 Diagrams, 1 Chart.
Subjects: Digital image processing software, Color computer graphics, Computer graphics research, Computer graphics software, Image processing software, Monte Carlo method software
Abstract: Changing the appearance of an image can be a complex and non-intuitive task. Many times the target image colors and look are only known vaguely and many trials are needed to reach the desired results. Moreover, the effect of a specific change on an image is difficult to envision, since one must take into account spatial image considerations along with the color constraints. Tools provided today by image processing applications can become highly technical and non-intuitive including various gauges and knobs. In this paper we introduce a method for changing image appearance by navigation, focusing on recoloring images. The user visually navigates a high dimensional space of possible color manipulations of an image. He can either explore in it for inspiration or refine his choices by navigating into sub regions of this space to a specific goal. This navigation is enabled by modeling the chroma channels of an image's colors using a Gaussian Mixture Model (GMM). The Gaussians model both color and spatial image coordinates, and provide a high dimensional parameterization space of a rich variety of color manipulations. The user's actions are translated into transformations of the parameters of the model, which recolor the image. This approach provides both inspiration and intuitive navigation in the complex space of image color manipulations. [ABSTRACT FROM AUTHOR]
Copyright of Computer Graphics Forum is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 37138256
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Image Appearance Exploration by Model-Based Navigation.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Shapira%2C+L%2E%22">Shapira, L.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Shamir%2C+A%2E%22">Shamir, A.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Cohen-Or%2C+D%2E%22">Cohen-Or, D.</searchLink><relatesTo>1</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Computer+Graphics+Forum%22">Computer Graphics Forum</searchLink>. Apr2009, Vol. 28 Issue 2, p629-638. 10p. 3 Color Photographs, 1 Illustration, 8 Diagrams, 1 Chart.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Digital+image+processing+software%22">Digital image processing software</searchLink><br /><searchLink fieldCode="DE" term="%22Color+computer+graphics%22">Color computer graphics</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+graphics+research%22">Computer graphics research</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+graphics+software%22">Computer graphics software</searchLink><br /><searchLink fieldCode="DE" term="%22Image+processing+software%22">Image processing software</searchLink><br /><searchLink fieldCode="DE" term="%22Monte+Carlo+method+software%22">Monte Carlo method software</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Changing the appearance of an image can be a complex and non-intuitive task. Many times the target image colors and look are only known vaguely and many trials are needed to reach the desired results. Moreover, the effect of a specific change on an image is difficult to envision, since one must take into account spatial image considerations along with the color constraints. Tools provided today by image processing applications can become highly technical and non-intuitive including various gauges and knobs. In this paper we introduce a method for changing image appearance by navigation, focusing on recoloring images. The user visually navigates a high dimensional space of possible color manipulations of an image. He can either explore in it for inspiration or refine his choices by navigating into sub regions of this space to a specific goal. This navigation is enabled by modeling the chroma channels of an image's colors using a Gaussian Mixture Model (GMM). The Gaussians model both color and spatial image coordinates, and provide a high dimensional parameterization space of a rich variety of color manipulations. The user's actions are translated into transformations of the parameters of the model, which recolor the image. This approach provides both inspiration and intuitive navigation in the complex space of image color manipulations. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Computer Graphics Forum is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=37138256
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1111/j.1467-8659.2009.01403.x
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 10
        StartPage: 629
    Subjects:
      – SubjectFull: Digital image processing software
        Type: general
      – SubjectFull: Color computer graphics
        Type: general
      – SubjectFull: Computer graphics research
        Type: general
      – SubjectFull: Computer graphics software
        Type: general
      – SubjectFull: Image processing software
        Type: general
      – SubjectFull: Monte Carlo method software
        Type: general
    Titles:
      – TitleFull: Image Appearance Exploration by Model-Based Navigation.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Shapira, L.
      – PersonEntity:
          Name:
            NameFull: Shamir, A.
      – PersonEntity:
          Name:
            NameFull: Cohen-Or, D.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 04
              Text: Apr2009
              Type: published
              Y: 2009
          Identifiers:
            – Type: issn-print
              Value: 01677055
          Numbering:
            – Type: volume
              Value: 28
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Computer Graphics Forum
              Type: main
ResultId 1