FFMQ

FFMQ stands for Fast Fourier Transform based Motion Estimation. It is an algorithm used in video compression and image processing to find the best motion vector between two frames. This is a crucial step in inter-frame prediction, where the encoder predicts a block of pixels in the current frame based on its corresponding block in a reference frame. The motion vector indicates the displacement of this block.

The FFMQ algorithm utilizes the Fast Fourier Transform (FFT) to efficiently search for the optimal motion vector. Instead of exhaustively checking every possible displacement, FFMQ transforms the search area and the prediction block into the frequency domain using FFT. In the frequency domain, the motion estimation problem can be simplified, allowing for faster and more accurate detection of the best match. This frequency-domain approach can significantly reduce the computational complexity compared to spatial-domain search methods.

FFMQ is particularly effective in scenarios where motion is smooth and predictable. It can achieve good compression ratios by accurately representing the motion between frames, thereby reducing the amount of information that needs to be transmitted or stored. The algorithm is a valuable component in various video codecs and image processing applications that require efficient motion compensation. Its speed and accuracy make it a popular choice for real-time video processing tasks.