Near-duplicate image detection method and device and electronic equipment

A technology of approximate repetition and image detection, which is applied in the computer field, can solve the problem of low detection accuracy of approximate repetition images, and achieve the effect of improving comprehensiveness and accuracy, and improving accuracy
CN108665441AActive Publication Date: 2018-10-16BEIJING SANKUAI ONLINE TECH CO LTD
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Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
BEIJING SANKUAI ONLINE TECH CO LTD
Publication Date
2018-10-16

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Abstract

An embodiment of the invention discloses a near-duplicate image detection method and belongs to the computer technical field and solves the problem of low accuracy of near-duplicate image detection inthe prior art. The method comprises the steps of: determining a first feature and a second feature of a target image in an input image pair by a multi-task network model respectively, wherein the first feature comprises image features reflecting inter-class differences and intra-class differences, and the second feature comprises image features reflecting the intra-class differences; constructinga fusion feature of the target image according to the first feature and the second feature of the target image; and according to the fusion feature, determining whether the target image is a near-duplicate image. The near-duplicate image detection method disclosed in the present application further improves the comprehensiveness and accuracy of the image fusion feature by combining the intra-class information and inter-class information of the image to construct the fusion feature of the image, thereby improving the accuracy of the near-duplicate image detection.
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Description

technical field

[0001] The present application relates to the field of computer technology, in particular to a method and device for detecting approximately repeated images, and electronic equipment. Background technique

[0002] Approximate duplicate images refer to images that only differ in color, saturation, cropping, shooting angle, watermark, etc. There are many types of approximate duplicate images in UGC (User Generated Content, User Generated Content) data. The appearance of these near-duplicate images will have a negative impact on the training of search and recommendation models and the display of search recommendation results. For example, it will reduce the accuracy of the model, reduce the utilization rate of the platform, and it is not conducive to the merchants to output more valuable information. At the same time, it will also affect the user experience. Therefore, there is an urgent need for an approximate duplicate image detection method to detect approxi...

Claims

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