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Retrieval image acquisition method, device and equipment and readable storage medium

An acquisition method and a technology for indexing images, which are applied in still image data retrieval, digital data information retrieval, still image data clustering/classification, etc., and can solve problems such as low efficiency and slow image retrieval speed

Pending Publication Date: 2020-10-30
书行科技(北京)有限公司
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Obviously, in the case of an order-of-magnitude large image index library, the existing technical solutions require a massive image similarity analysis process, and the speed of image retrieval is slow and inefficient.

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  • Retrieval image acquisition method, device and equipment and readable storage medium
  • Retrieval image acquisition method, device and equipment and readable storage medium
  • Retrieval image acquisition method, device and equipment and readable storage medium

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Embodiment Construction

[0042] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0043] An application scenario of the retrieval image acquisition method provided in the embodiment of the present application is to retrieve an index image containing the same landmarks as the query image from the preset image index database according to a given query image, and denote it as a retrieval image . It can be understood that the retrieval image refers to an index image that contains the same landmark as the query image. Taking the query image A as an example, the landm...

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Abstract

The invention provides a retrieval image acquisition method, and the method comprises the steps: determining cluster center similarity between each index image and a query image, determining candidateindex images according to the cluster center similarity, and further determining retrieval images of the query image from the candidate index images based on the image similarity. It is understandable that the cluster center similarity is the number of the same similar cluster centers of the retrieval image and the query image; compared with the similarity calculation of the feature vectors, thecalculation process of the number consumes less calculation force, and the calculation process of the cluster centers and the similar cluster centers saves less calculation force than the similarity calculation of the feature vectors, so the candidate index images are obtained by using less calculation force. Compared with the prior art, on the one hand, for all index images, the retrieval range is reduced; on the other hand, the image similarity does not need to be calculated for each index image and each query image, so the image retrieval efficiency is greatly improved.

Description

technical field [0001] The present application relates to the technical field of image retrieval, and more specifically, relates to a method, device, equipment and readable storage medium for obtaining retrieved images. Background technique [0002] In an image search engine, according to a given query image, all indexed images containing the same landmarks as the query image need to be retrieved from a specified image index library. In the existing technical scheme, based on the feature vector of the query image and the feature vector of each index image in the image index database, the similarity analysis is performed on the feature vectors of the query image and all index images respectively, and according to the similarity analysis results Indexed images containing the same landmarks as the query image are retrieved. [0003] Obviously, in the case of an order-of-magnitude-large image index library, the existing technical solutions require a massive image similarity ana...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/583G06F16/55G06F16/538
CPCG06F16/583G06F16/55G06F16/538
Inventor 刘宏坤
Owner 书行科技(北京)有限公司
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