ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Adaptively weighted vector-median filters for motion-fields smoothing
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 04
WOWMOM '08 Proceedings of the 2008 International Symposium on a World of Wireless, Mobile and Multimedia Networks
Robust motion-compensated video upconversion
IEEE Transactions on Consumer Electronics
New frame rate up-conversion using bi-directional motion estimation
IEEE Transactions on Consumer Electronics
Object based refinement of motion vector fields applying probabilistic homogenization rules
IEEE Transactions on Consumer Electronics
Weighted-adaptive motion-compensated frame rate up-conversion
IEEE Transactions on Consumer Electronics
Motion compensated frame interpolation by new block-based motion estimation algorithm
IEEE Transactions on Consumer Electronics
Frame rate up-conversion using perspective transform
IEEE Transactions on Consumer Electronics
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
A Multistage Motion Vector Processing Method for Motion-Compensated Frame Interpolation
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
A novel approach to FRUC using discriminant saliency and frame segmentation
IEEE Transactions on Image Processing
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In this paper, we address the problems of unreliable motion vectors that cause visual artifacts but cannot be detected by high residual energy or bidirectional prediction difference in motion-compensated frame interpolation. A correlation-based motion vector processing method is proposed to detect and correct those unreliable motion vectors by explicitly considering motion vector correlation in the motion vector reliability classification, motion vector correction, and frame interpolation stages. Since our method gradually corrects unreliable motion vectors based on their reliability, we can effectively discover the areas where no motion is reliable to be used, such as occlusions and deformed structures. We also propose an adaptive frame interpolation scheme for the occlusion areas based on the analysis of their surrounding motion distribution. As a result, the interpolated frames using the proposed scheme have clearer structure edges and ghost artifacts are also greatly reduced. Experimental results show that our interpolated results have better visual quality than other methods. In addition, the proposed scheme is robust even for those video sequences that contain multiple and fast motions.