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Traffic image processing and image retrieval method and device

An image retrieval and image technology, applied in the field of image processing, can solve the problems of large distance between image retrieval feature classes and inaccurate similar images.

Active Publication Date: 2020-04-14
ALIBABA GRP HLDG LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

At present, the model obtained by ordinary training is used to process traffic images, and the extracted image retrieval features have a large intra-class distance, and the similar images of traffic images retrieved based on these image retrieval features are not accurate enough.

Method used

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  • Traffic image processing and image retrieval method and device
  • Traffic image processing and image retrieval method and device
  • Traffic image processing and image retrieval method and device

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Embodiment Construction

[0096] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the application. However, the present application can be implemented in many other ways different from those described here, and those skilled in the art can make similar promotions without violating the connotation of the present application. Therefore, the present application is not limited by the specific implementation disclosed below.

[0097] The present application provides a traffic image processing method, device, electronic equipment and storage equipment. The present application also provides a commodity image processing method. The application also provides an image retrieval method. The present application also provides an image feature extraction model training method. Each will be described in detail in the following examples.

[0098] The first embodiment of the present application provides a traffic image processing method. The follo...

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Abstract

The invention discloses a traffic image processing method. The method comprises the steps: determining a to-be-queried traffic image; obtaining a to-be-retrieved image data set for retrieving the to-be-queried traffic image according to the video traffic information; obtaining an image feature extraction model used for extracting image retrieval features; using the image feature extraction model to extract the image retrieval features of the to-be-queried traffic image; and retrieving an image similar to the to-be-queried traffic image in the to-be-retrieved image data set according to the image retrieval features of the to-be-queried traffic image. Therefore, the traffic images can be retrieved more accurately.

Description

technical field [0001] The present application relates to the field of image processing, in particular to a traffic image processing method, device, electronic equipment and storage device. The present application also relates to a commodity image processing method. The present application also relates to an image retrieval method. The present application also relates to a training method for an image feature extraction model. Background technique [0002] With the rapid development of computer vision technology and deep learning, it is becoming more and more important to use image feature extraction models based on deep learning to retrieve semantically similar images in image databases in traffic image processing. At present, the model obtained by ordinary training is used to process traffic images, and the extracted image retrieval features have a large intra-class distance, and the similar images of traffic images retrieved based on these image retrieval features are n...

Claims

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Application Information

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IPC IPC(8): G06F16/583G06F16/53
Inventor 赵一儒金仲明黄建强华先胜
Owner ALIBABA GRP HLDG LTD
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