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Similar image clustering method and device, storage medium and electronic equipment

A clustering method and similar image technology, applied in the field of image processing, can solve the problems of poor accuracy, insufficient memory, and the number of samples occupying memory, etc., to achieve the effect of reducing size, reducing memory consumption, and improving accuracy and efficiency

Active Publication Date: 2019-04-30
BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD +1
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Problems solved by technology

[0004] The above clustering methods may have the following problems: 1. When clustering images, it is necessary to manually specify the number of clustering categories in advance, which is poor in accuracy and low in efficiency; A high number of dimensions consumes a lot of memory, thus resulting in an out-of-memory condition

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  • Similar image clustering method and device, storage medium and electronic equipment
  • Similar image clustering method and device, storage medium and electronic equipment
  • Similar image clustering method and device, storage medium and electronic equipment

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Embodiment Construction

[0043] Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided in order to give a thorough understanding of embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced without one or more of the specific details being omitted, or other methods, components, devices, steps, etc. may be adopted. In other instances, well-known technical solution...

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Abstract

The invention relates to a similar image clustering method, a similar image clustering device, a computer readable storage medium and electronic equipment, and relates to the technical field of imageprocessing, and the method comprises the steps: extracting image features of a plurality of images through a convolutional neural network model, and carrying out Hash mapping on the image features; clustering the image features through a strong connection component clustering method to determine a clustering category; and providing a category identifier for each image feature and obtaining the similar image from a database according to the category identifier. The similar image clustering efficiency can be improved.

Description

technical field [0001] The present disclosure relates to the technical field of image processing, and in particular, to a similar image clustering method, a similar image clustering device, a computer-readable storage medium, and electronic equipment. Background technique [0002] In the process of image storage in the fields of image retrieval, image copyright protection, video intelligent analysis, etc., the phenomenon of repeated storage of the same or similar images often occurs. In order to avoid this phenomenon, similar images can be clustered and based on the clustering The results are processed on similar images. [0003] In related technologies, K-means clustering method, DBSCAN (Density-Based Spatial Clustering of Applications with Noise) density-based clustering method or hierarchical clustering method are mostly used to cluster similar images. Among them, the K-means clustering method randomly selects the initial class center from the sample, and uses the number...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/084G06N3/045G06F18/23G06F18/22G06F18/213
Inventor 黄志标安山陈宇貟雯婷翁志
Owner BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD
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