Video image data retrieval method and device, apparatus and storage medium

A technology for data retrieval and video images, which is applied in still image data retrieval, still image data indexing, still image data query, etc., can solve the problems of difficult retrieval, low retrieval efficiency, poor retrieval performance, etc. The effect of improving retrieval efficiency and reducing time and space complexity

Inactive Publication Date: 2019-12-24
四川东方网力科技有限公司
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0004] In view of this, a video image data retrieval method, device, device, and storage medium are provided to solve the problems of large-scale, high-dimensional, and spar

Method used

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  • Video image data retrieval method and device, apparatus and storage medium
  • Video image data retrieval method and device, apparatus and storage medium
  • Video image data retrieval method and device, apparatus and storage medium

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Embodiment

[0034] figure 1 It is a flow chart of a video image retrieval method provided by an embodiment of the present invention. The method can be executed by a video image retrieval device provided by an embodiment of the present invention, and the device can be implemented by software and / or hardware. refer to figure 1 , the method may specifically include the following steps:

[0035] S101. Obtain an image retrieval database and a training database.

[0036] Specifically, the image retrieval database usually includes a large number of pictures, for example, one million. picture of. In addition, the pictures here may refer to directly captured pictures, or may be multiple pictures obtained from video frames extracted from monitored video images. The application scenario of the embodiment of the present application may be to find a picture similar to the picture to be retrieved from a large number of pictures in a picture retrieval database, and this process may be called a retri...

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Abstract

The invention relates to a video image data retrieval method and device, an apparatus and a storage medium. The method comprises the steps of obtaining a picture retrieval database and a training database; performing clustering training on the feature data in the training database to generate a preset number of data buckets, and determining a clustering center of each data bucket; calculating thedistance between each piece of feature data in the picture retrieval database and each clustering center, and adding each piece of feature data in the picture retrieval database into the correspondingdata bucket according to a first distance rule to determine an inverted index table; calculating the distance between the feature matrix of the to-be-retrieved picture and each clustering center, anddetermining a target data bucket according to a second distance rule; and based on the inverted index table, calculating the distance between the feature vector matrix of the to-be-retrieved pictureand the clustering center of the target data bucket, and determining a picture similar to the to-be-retrieved picture as a retrieval result according to a retrieval rule, so that the performance and the efficiency of the video image data retrieval are improved.

Description

technical field [0001] The invention relates to the technical field of image data retrieval, in particular to a video image data retrieval method, device, equipment and storage medium. Background technique [0002] With the rapid development of the Internet, large-scale video image data is becoming more and more common in search engines and social networks, and has also attracted great attention to solutions including smart communities, smart security and AI (Artificial Intelligence, artificial intelligence) cities. In addition, with the continuous increase of human and urban video image resources, the scale of video image data is getting larger and larger. [0003] In the related technology, although the processing of large-scale video image data can obtain better clustering effect, the training of the training set during clustering is time-consuming, and the verification of model correctness is complicated and cumbersome; moreover, some deep network models not only need T...

Claims

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Application Information

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IPC IPC(8): G06F16/55G06F16/51G06F16/53
CPCG06F16/55G06F16/51G06F16/53G06F18/23213
Inventor 常亮
Owner 四川东方网力科技有限公司
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