Video Inter-Frame Motion Estimation Coding

Video inter-frame motion estimation coding is a technique based on optical flow field equations that implements motion estimation through fundamental optical flow calculation functions and practical examples. The primary objective of this coding method is to accurately estimate motion information between adjacent video frames, enabling better compression efficiency and image quality during video encoding processes. The optical flow field serves as a mathematical model describing pixel motion within images, obtained by calculating displacement vectors for each pixel between consecutive frames. Implementation typically involves algorithms like the Lucas-Kanade method or Horn-Schunck approach, where key functions include gradient computation, motion vector derivation, and iterative refinement processes. Optical flow calculation finds applications across various domains including video compression, motion analysis, and computer vision tasks. Therefore, video inter-frame motion estimation coding represents a crucial technology that significantly enhances video encoding performance and image processing outcomes through efficient motion vector prediction and residual data minimization.