Color harmonization

Cohen–Or, Daniel; Sorkine, Olga; Gal, Ran; Leyvand, Tommer; Xu, Yingqing

doi:10.1145/1179352.1141933

Cited by 153 publications

(152 citation statements)

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“…For example, Wong et al [32] adjust foreground colors to be consistent with nearby surrounding background pixels, but their method fails when nearby background pixels do not correctly represent the overall lighting conditions. Cohen-Or et al [33] and Kuang et al [34] consider overall color harmony based on either aesthetic rules or models learned from a dataset, but they tend to focus on creating aesthetic images rather than realistic images. The second category of methods focuses on seamless cloning based on solving a Poisson equation or coordinate interpolation [2,17,18,35,36].…”

Section: Interactive Video Mattingmentioning

confidence: 99%

Practical automatic background substitution for live video

Huang

Fang

et al. 2017

Comp. Visual Media

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In this paper we present a novel automatic background substitution approach for live video. The objective of background substitution is to extract the foreground from the input video and then combine it with a new background. In this paper, we use a color line model to improve the Gaussian mixture model in the background cut method to obtain a binary foreground segmentation result that is less sensitive to brightness differences. Based on the high quality binary segmentation results, we can automatically create a reliable trimap for alpha matting to refine the segmentation boundary. To make the composition result more realistic, an automatic foreground color adjustment step is added to make the foreground look consistent with the new background. Compared to previous approaches, our method can produce higher quality binary segmentation results, and to the best of our knowledge, this is the first time such an automatic and integrated background substitution system has been proposed which can run in real time, which makes it practical for everyday applications.

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Section: Interactive Video Mattingmentioning

confidence: 99%

Practical automatic background substitution for live video

Huang

Fang

et al. 2017

Comp. Visual Media

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“…Researchers have tried to quantify matching colors, or so called harmonic colors, in various color spaces resulting in recommended templates that image histograms should conform to [9]. In recent work, researchers have also used these templates to "harmonize" the colors in images and video (e.g., [1]). Let C v (x) determine the HSV domain color vector of the foreground image v at x.…”

Section: Drawing Areamentioning

confidence: 99%

Visual conditioning for augmented-reality-assisted video conferencing

Guleryuz

Kalker

2012

2012 IEEE 14th International Workshop on Multimedia Signal Processing (MMSP)

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Abstract-Typical video conferencing scenarios bring together individuals from disparate environments. Unless one commits to expensive tele-presence rooms, conferences involving many individuals result in a cacophony of visuals and backgrounds. Ideally one would like to separate participant visuals from their respective environments and render them over visually pleasing backgrounds that enhance immersion for all. Yet available image/video segmentation techniques are limited and result in significant artifacts even with recently popular commodity depth sensors. In this paper we present a technique that accomplishes robust and visually pleasing rendering of segmented participants over adaptively-designed virtual backgrounds. Our method works by determining virtual backgrounds that match and highlight participant visuals and uses directional textures to hide segmentation artifacts due to noisy segmentation boundaries, missing regions, etc. Taking advantage of simple computations and look-up-tables, our work leads to fast, real-time implementations that can run on mobile and other computationally-limited platforms.

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“…b) Matsuda's harmonious templates. This figure is from [41]. Hues which are in shaded sectors are considered to be in harmony.…”

mentioning

confidence: 99%

“…Hues which are in shaded sectors are considered to be in harmony. The angles of the sectors are described in [40] and [41]. 6.1 A schematic view of R-ADoMC.…”

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confidence: 99%

Quantifying Aesthetics of Visual Design Applied to Automatic Design

Jahanian

2016

Springer Theses

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Color harmonization

Cited by 153 publications

References 0 publications

Practical automatic background substitution for live video

Practical automatic background substitution for live video

Visual conditioning for augmented-reality-assisted video conferencing

Quantifying Aesthetics of Visual Design Applied to Automatic Design

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