Keyframe-based tracking for rotoscoping and animation
ACM SIGGRAPH 2004 Papers
Introduction to Linear Regression Analysis, Solutions Manual (Wiley Series in Probability and Statistics)
The emerging MVC standard for 3D video services
EURASIP Journal on Applied Signal Processing - 3DTV: Capture, Transmission, and Display of 3D Video
Design and implementation of color correction system for images captured by digital camera
IEEE Transactions on Consumer Electronics
System architecture for free-viewpoint video and 3D-TV
IEEE Transactions on Consumer Electronics
Efficient Prediction Structures for Multiview Video Coding
IEEE Transactions on Circuits and Systems for Video Technology
Multiview Video Coding Using View Interpolation and Color Correction
IEEE Transactions on Circuits and Systems for Video Technology
Adaptive Local Illumination Change Compensation Method for H.264/AVC-Based Multiview Video Coding
IEEE Transactions on Circuits and Systems for Video Technology
Histogram-Based Prefiltering for Luminance and Chrominance Compensation of Multiview Video
IEEE Transactions on Circuits and Systems for Video Technology
Colorimetric correction for stereoscopic camera arrays
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume Part I
Stereo/multiview picture quality: Overview and recent advances
Image Communication
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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.