Depth hash image retrieval method based on cosine measurement

Abstract

The invention provides a depth hash image retrieval method based on cosine measurement. For huge image data on the Internet, in order to meet the requirements of users, a rapid and accurate image retrieval method is found to become an urgent problem to be solved. Based on cosine measurement, diversity of vector length can be effectively reduced, and then retrieval performance is improved while category information is introduced into a loss function and the loss function is combined with cosine measurement constraint, so that similarity maintenance in the same network can be learned jointly, and classification information can be fully utilized. By the adoption of the scheme, large-scale image retrieval can be effectively achieved, and experiments prove that the performance of the scheme issuperior to that of an existing image retrieval method, and the scheme has very important application value.

Description

technical field [0001] The invention relates to the field of image retrieval, in particular to a depth hash image retrieval method based on cosine metric. Background technique [0002] In recent years, with the explosive growth of network multimedia data, hundreds of thousands of images are uploaded to the Internet every day. In the face of such large-scale multimedia data, it becomes difficult to retrieve relevant images from massive images according to different user needs. extremely difficult. Therefore, content-based image retrieval has received more and more attention in commercial applications and academic fields. Assuming that both the images in the database and the query image are represented by real-valued features, the easiest way to retrieve relevant images is to sort the images in the database according to the one-by-one distance metric between the database image and the query image in the feature space, and then return The image result with the smallest distan...

AI Technical Summary

Problems solved by technology

[0006] In order to effectively solve the problems existing in the existing deep hash method, the present invention provides a deep hash image retrieval method based on cosine metric, which proposes a deep hash framework under the constraint of cosine metric to realize image retrieval , the present invention can maintain the similarity of joint learning and make full use of classification information under the same network to have good retrieval performance

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