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首页> 外文期刊>Journal of visual communication & image representation >Fast color correction for multi-view video by modeling spatio-temporal variation
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Fast color correction for multi-view video by modeling spatio-temporal variation

机译：通过对时空变化建模来对多视点视频进行快速色彩校正

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摘要

In multi-view video, a number of cameras capture the same scene from different viewpoints. Color variations between the camera views may deteriorate the performance of multi-view video coding or virtual view rendering. In this paper, a fast color correction method for multi-view video is proposed by modeling spatio-temporal variation. In the proposed method, multi-view keyframes are defined to establish the spatio-temporal relationships for accurate and fast implementation. For keyframes, accurate color correction is performed based on spatial color discrepancy model that disparity estimation is used to find correspondence points between views, and linear regression is performed on these sets of points to find the optimal correction coefficients. For non-keyframes, fast color correction is performed based on temporal variations model that time-invariant regions are detected to reflect the change trends of correction coefficients. Experimental results show that compared with other methods, the proposed method can promote the correction speed greatly without noticeable quality degradation, and obtain higher coding performance.
机译：在多视图视频中，许多摄像机从不同的视角捕获相同的场景。摄像机视图之间的颜色变化可能会降低多视图视频编码或虚拟视图渲染的性能。通过对时空变化进行建模，提出了一种用于多视点视频的快速色彩校正方法。在提出的方法中，定义了多视图关键帧以建立时空关系，以实现准确，快速的实现。对于关键帧，基于空间颜色差异模型执行精确的颜色校正，该模型使用视差估计来查找视图之间的对应点，并对这些点集执行线性回归以找到最佳校正系数。对于非关键帧，基于时间变化模型执行快速颜色校正，该模型检测到时不变区域以反映校正系数的变化趋势。实验结果表明，与其他方法相比，该方法在不明显降低质量的前提下，可以大大提高校正速度，并具有较高的编码性能。

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