1. A video processing method based on multiple texture images, comprising: dividing an input video into shot segments, and selecting one from a plurality of frames of a shot segment as a seed image; detecting a plurality of texture points from the seed image; tracking the plurality of texture points from the plurality of frames of the shot segment and calculating spatio-temporal location transform variables for the respective texture points; defining a plurality of texture images using texture points at which the spatio-temporal location transform variables correspond to one another and merging texture images having similar spatio-temporal location transform variables within a value into a single texture image; and defining the plurality of texture images including merged texture images as a sum of a plurality of texture blocks that are outputs of texture synthesis filters that respectively receive video excitation signals as inputs, wherein merging of texture images evaluates similarities of spatio-temporal location transform variables determined by obtaining correlation characteristics between texture image signals have values falling within a preset threshold value, among the plurality of texture images, and texture images having similar spatio-temporal location transform variables are grouped and merged into a single texture image, to approximate the texture images.