A method and system for detecting and handling invalid motion estimation for video frame interpolation

By calculating the effective motion estimation cost threshold and correcting the optimal motion estimation value (MV) of invalid motion estimation, the tearing and mosaic problems caused by the rotation or distortion of moving objects in MEMC video interpolation technology are solved, thus improving the visual quality of video interpolation.

CN122420544APending Publication Date: 2026-07-17ASR MICROELECTRONICS CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ASR MICROELECTRONICS CO LTD
Filing Date
2026-04-30
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing MEMC video interpolation technology fails to estimate motion when moving objects rotate, scale, or distort significantly, resulting in abrupt tearing or mosaic effects in the interpolated area, which affects the user's visual experience.

Method used

By recording the minimum motion estimation cost of an image block, the effective motion estimation cost threshold is calculated to determine the validity of the motion estimation of the image block. Invalid motion estimation image blocks are corrected, and the optimal MV is corrected to MV(0,0), which participates in the frame interpolation process.

Benefits of technology

It reduces the abrupt tearing and mosaic phenomenon introduced by invalid motion estimation, improves the user's subjective visual experience, is suitable for hardware implementation, has low algorithm complexity, and low hardware cost.

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Abstract

本发明公开了一种检测和处理无效运动估计的视频插帧方法。在第N帧和第N+1帧之间插帧时,记录第N+1帧上每个图像块经过运动估计过程后获得的最小运动估计代价值,并据此计算第N+1帧的有效运动估计代价分界阈值。在第N+1帧和第N+2帧之间插帧时,将第N+2帧上当前图像块的最小运动估计代价值与第N+1帧的有效运动估计代价分界阈值进行比较,来判断第N+2帧上当前图像块的运动估计是否有效。如果判定第N+2帧上当前图像块的运动估计无效;使用第N+2帧上当前图像块的矫正后的最优MV参与第N+1帧和第N+2帧之间的插帧过程。本发明对无效运动估计的图像块的最优MV进行矫正,减轻无效运动估计的图像块所引入的突兀的撕裂和马赛克现象。
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