The invention discloses an early termination method and device for inter-frame coding segmentation, equipment and a storage medium. The method comprises the following steps: calculating a feature distance between to-be-segmented regions based on
coding block features; inputting the feature distance into a pre-trained
neural network classification model for segmentation threshold prediction, and outputting a target segmentation threshold of the target
coding block; based on the feature distance and the target segmentation threshold, judging whether the target
coding block meets a segmentation termination condition or not; and if yes, stopping segmentation of the target coding block. According to the embodiment of the invention, features highly related to CU segmentation are selected by using a
machine learning
algorithm, features having the greatest influence on a segmentation decision are selected by analyzing texture and
depth map information of the CU, and early termination of CU segmentation of a texture video and a
depth map is realized based on a threshold value extracted from a training model.