Image retrieval method and device

A technology of pictures and similar pictures, applied in the field of image processing, can solve the problems of low retrieval accuracy and inability to meet user retrieval needs, and achieve the effect of improving retrieval accuracy and satisfying retrieval needs.

Active Publication Date: 2016-04-06
TENCENT TECH (SHENZHEN) CO LTD
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Problems solved by technology

[0003] In the process of realizing the present invention, the inventor found the following problems in the prior art: when performing image retrieval based on the visual information of the image, the images can only be distinguished visually, the retrieval accuracy is low, and the retrieval needs of users cannot be met

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Embodiment Construction

[0022] 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 some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0023] figure 1 It is a flow chart of a picture retrieval method provided by an embodiment of the present invention, see figure 1 , the method includes:

[0024] 101. Acquire a feature vector of each seed picture, where the feature vector is composed of multi-layer features of the seed picture extracted in a neural network.

[0025] 102. Generate at least one visual word of each seed picture according to the feature vector of each seed picture, ...

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Abstract

The invention discloses an image retrieval method and device, and belongs to the field of image processing. The method comprises the following steps: obtaining the feature vector of each seed image, wherein the feature vector is composed of multi-level features of the seed image extracted from a neural network; generating at least one visual word of each seed image according to the feature vector of each seed image, wherein the at least one visual word is used for expressing the semantic of each seed image; and obtaining at least one seed image and at least one feature vector of each visual word according to the feature vector of each seed image and the at least one visual word, and carrying out image retrieval. According to the method disclosed by the invention, the seed image is regarded as the set of the visual words, the feature vector of the seed image is obtained, at least one visual word is generated according to the feature vector, the at least one visual word is used for expressing the semantic of the seed image, and when carrying out the image retrieval based on the visual word, the retrieval accuracy is improved, and the retrieval demand of a user can be satisfied.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a method and device for image retrieval. Background technique [0002] In order to meet the visual needs of users, a lot of current information is in picture format. The computer can recognize the visual information of the picture, such as the color, shape, grayscale distribution of the picture, etc. When the user initiates a picture retrieval command, the computer can perform picture retrieval according to the visual information of the picture, such as learning the picture according to the visual information of the picture. The low-level features of the low-level features are combined into high-level features, and the high-level features of each existing picture are matched to retrieve pictures similar to the pictures specified by the user. [0003] In the process of realizing the present invention, the inventor found the following problems in the prior art: when performing imag...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 姚伶伶赫南何琪胡繁星卫望王兵
Owner TENCENT TECH (SHENZHEN) CO LTD
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