A modification of the conjugate direction method for motion estimation
This work addresses motion estimation for video processing, but it appears incremental as it modifies an existing method without broad SOTA impact.
The paper tackled the problem of motion estimation by comparing block matching algorithms, focusing on computational burden and prediction accuracy, and reported a modification of the conjugate direction method that achieved a good trade-off between complexity and accuracy, with performance measured using entropy in error signals.
A comparative study of different block matching alternatives for motion estimation is presented. The study is focused on computational burden and objective measures on the accuracy of prediction. Together with existing algorithms several new variations have been tested. An interesting modification of the conjugate direction method previously related in literature is reported. This new algorithm shows a good trade-off between computational complexity and accuracy of motion vector estimation. Computational complexity is evaluated using a sequence of artificial images designed to incorporate a great variety of motion vectors. The performance of block matching methods has been measured in terms of the entropy in the error signal between the motion compensated and the original frames.