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Image retrieval method and device, graphic processor and storage medium

An image retrieval and image technology, applied in the field of communication, can solve the problems of low image retrieval efficiency, time-consuming and resource-consuming, and achieve the effects of improving image retrieval efficiency, reducing sorting work, and reducing resource occupation

Active Publication Date: 2019-04-12
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] During the research and practice of the prior art, the inventors of the present invention found that it takes a lot of time and resources to completely sort the massive images in the database, and the efficiency of image retrieval is low

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  • Image retrieval method and device, graphic processor and storage medium
  • Image retrieval method and device, graphic processor and storage medium
  • Image retrieval method and device, graphic processor and storage medium

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Embodiment Construction

[0055] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts fall within the protection scope of the present invention.

[0056] Embodiments of the present invention provide an image retrieval method, device, graphics processor, and storage medium.

[0057] The present invention provides an information interaction system, which includes the image retrieval device provided by any one of the embodiments of the present invention, and the image retrieval device can be integrated in a server and other equipment; in addition, the system can also include other equipment, such as a client , image library, ...

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PUM

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Abstract

The embodiment of the invention discloses an image retrieval method and device, a graphic processor and a storage medium. According to the embodiment of the invention, The method includes acquiring the image feature information of the retrieved image and the pre-stored image can be acquired, and calculating the similarity between the pre-stored image and the retrieved image is calculated accordingto the image feature information; S; sampling the pre-stored image to obtain a sample image, and determining a similarity threshold value according to the similarity of the sample image; S; sequencing the pre-stored images of which the similarity values are greater than a similarity threshold value to obtain a candidate image sequence; and selecting a target image from the candidate image sequence. Therefore, according to the scheme, the pre-stored images are screened, the sorting work is reduced, the high-quality retrieval result can be obtained only by partially sorting the pre-stored images, the image retrieval time is shortened, resource occupation is reduced, and the image retrieval efficiency is effectively improved.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to an image retrieval method, device, graphics processor and storage medium. Background technique [0002] With the development of Internet technology, image retrieval has become a widely used retrieval method, such as landscape retrieval, face retrieval and / or vehicle retrieval and so on. At present, image retrieval on general-purpose image processors mainly uses CUBLAS (Compute Unified Basic Linear Algebra Subprograms, Unified Computing Basic Linear Algebra Subprograms Library) to perform feature matching between the reference image to be retrieved and a large number of images to be selected in the database. Calculate, and completely sort the massive candidate images according to the feature matching degree, and select the preset number of candidate images in the image sequence as the retrieval results after sorting. [0003] During the research and practice of the prior a...

Claims

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Application Information

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IPC IPC(8): G06F16/583G06F16/538
Inventor 丁丹迪李彦融田恒锋
Owner TENCENT TECH (SHENZHEN) CO LTD
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