GIF format picture searching method based on machine learning

Abstract

A GIF format picture retrieval method based on machine learning comprises the following steps that S1, obtaining a GIF picture in a network, and preprocessing the GIF picture; s2, cutting the preprocessed GIF picture, extracting a key frame in the GIF picture, calculating a Hash value of the key frame, and storing the generated Hash value information and the GIF picture in a basic database; s3, constructing a convolutional neural network model, training the convolutional neural network model by using data in the basic database, and obtaining a kernel function for prediction; s4, splitting the to-be-searched target GIF picture, extracting a key frame, and substituting the extracted key frame into a kernel function for calculation to obtain an optimal matching type; and S5, calculating a hash value of a key frame of the to-be-searched target GIF picture, searching similar pictures in the predicted types by using the hash value information, and if not, creating a new category in the current category. According to the picture searching function, the GIF picture searching function is added, the searching accuracy is improved, and finally the utilization rate of picture searching is increased.

Description

technical field [0001] The invention belongs to the technical field of computer applications, and in particular relates to a machine learning-based GIF format picture retrieval method. Background technique [0002] With the continuous improvement of search technology in recent years, the search method and scope are not limited to text and document search, and image search has gradually entered the public's field of vision. Users submit the pictures they want to search, and the website or software will give them feedback on the information on the picture, the source of the picture, and a large number of similar pictures. At the same time, because users often cannot provide accurate text descriptions when using search engines, image search has gradually entered the public eye. When text descriptions cannot be accurately expressed, users can upload pictures, scan pictures, and capture information , give the user corresponding feedback. At the same time, the developer will ext...

AI Technical Summary

Problems solved by technology

But for now, first, the accuracy of image search needs to be improved, but the current image search in the field of dynamic image search still needs to be researched, so this project is dedicated to developing dynamic image search and improving the accuracy of image search

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