Low complexity block motion estimation using morphological-based feature extraction and XOR operations

Motion estimation is a temporal image compression technique, where an n x n block of pixels in the current frame of a video sequence is represented by a motion vector with respect to the best matched block in a search area of the previous frame, and the DCT coefficients of the displaced block differences. In this paper, a low complexity technique for motion estimation is proposed. The proposed technique, first, reduces the n-bit grayscale frames into 1-bit binary frames using morphological filters, and determines the displacement of the edge features of the adjacent frames. While reduction in bit-depth requires a small percentage of computation using the full pixel resolution, the search procedure is performed by simple XOR logic operations and 1-b distortion accumulations on the entire search area. Compared to other low complexity techniques, the proposed technique yields better frame reconstruction, operates using simpler arithmetic/logic operations, and possesses a higher degree of...

• Type: Journal
• Year: 2000
• Where: JEI
• Authors: Thinh M. Le, R. Mason, Sethuraman Panchanathan
• Keywords: JEI 2000, Low Complexity Techniques, Motion Estimation, Search Area