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Feature retrieval method and device and storage medium

A feature value and feature set technology, applied in digital data information retrieval, special data processing applications, instruments, etc., can solve the problems of system retrieval performance impact, large space occupied, large data access and calculation amount, etc. The effect of reduced throughput, data access and computation, and reduced device space consumption

Pending Publication Date: 2020-01-03
TENCENT CLOUD COMPUTING BEIJING CO LTD
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AI Technical Summary

Problems solved by technology

[0003] However, the retrieval method in the related art needs to compare the original features directly, so the amount of data access and calculation is relatively large, and it is necessary to select a set of candidate features, which involves multiple copies of feature data, which has great impact on the system. Retrieval performance will have an impact, and at the same time, due to the need to store original features and compressed features, storage takes up a lot of space

Method used

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  • Feature retrieval method and device and storage medium
  • Feature retrieval method and device and storage medium
  • Feature retrieval method and device and storage medium

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Embodiment Construction

[0034] In order to make the purpose, technical solutions and advantages of the application clearer, the application will be further described in detail below in conjunction with the accompanying drawings. All other embodiments obtained under the premise of creative labor belong to the scope of protection of this application.

[0035] In the following description, references to "some embodiments" describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or a different subset of all possible embodiments, and Can be combined with each other without conflict. Unless otherwise defined, all technical and scientific terms used in the embodiments of the present application have the same meaning as commonly understood by those skilled in the technical field of the embodiments of the present application. The terms used in the embodiments of the present application are only for the purpose of describing the embodiments of the pres...

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Abstract

The embodiment of the invention provides a feature retrieval method and device and a storage medium, and the method comprises the steps: extracting a to-be-retrieved feature in a to-be-retrieved image; on each storage dimension corresponding to the to-be-retrieved feature, performing compression processing on the to-be-retrieved feature to obtain a compression feature with lower memory occupationcompared with the to-be-retrieved feature; retrieving preset features matched with the compression features in a preset feature set to obtain a retrieval result; outputting the retrieval result. The space consumption of feature storage can be reduced, the feature retrieval time delay is reduced, and the feature retrieval throughput is improved.

Description

technical field [0001] The embodiment of the present application relates to the technical field of artificial intelligence, and relates to but not limited to a feature retrieval method, device and storage medium. Background technique [0002] With the development of image recognition technology, image feature retrieval based on image recognition technology has become a widely used retrieval method. At present, when retrieving images, the common method is to directly compare the original features of the image with the features in the feature library, or to compare the original features with the candidate features in the selected candidate feature set after simple compression , so as to determine the retrieval result according to the comparison result. [0003] However, the retrieval method in the related art needs to compare the original features directly, so the amount of data access and calculation is relatively large, and it is necessary to select a set of candidate featu...

Claims

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Application Information

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IPC IPC(8): G06F16/583
CPCG06F16/583
Inventor 丁丹迪李彦融姚达
Owner TENCENT CLOUD COMPUTING BEIJING CO LTD
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