Feature retrieval method, device and equipment and computer storage medium
A technology of eigenvectors and target features, which is applied to computer components, computing, digital data information retrieval, etc., can solve the problems of low retrieval efficiency, achieve the effect of improving feature retrieval efficiency and avoiding low efficiency
Active Publication Date: 2021-08-13
长沙海信智能系统研究院有限公司
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[0004] The embodiment of the present application provides a feature retrieval method, device, device, and computer storage medium, which can solve the problem of low efficiency of feature vector feature retrieval in the prior art
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[0030] The characteristics and exemplary embodiments of various aspects of the application will be described in detail below. In order to make the purpose, technical solution and advantages of the application clearer, the application will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described here are only intended to explain the present application rather than limit the present application. It will be apparent to one skilled in the art that the present application may be practiced without some of these specific details. The following description of the embodiments is only to provide a better understanding of the present application by showing examples of the present application.
[0031] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and d...
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The invention discloses a feature retrieval method, device and equipment and a computer storage medium. The feature retrieval method comprises the steps: acquiring a first feature vector and P second feature vectors, wherein the dimensions of the first feature vector and the dimensions of the second feature vectors are both W, and P and W are both integers larger than 1; dividing the first feature vector into L first vectors, and dividing each second feature vector into L second vectors, wherein the dimension of each first vector and the dimension of each second vector are both smaller than W, the L first vectors correspond to the L second vectors in a one-to-one mode, and L is an integer greater than 1; determining a second similarity between the first feature vector and each second feature vector according to a first similarity between the L first vectors and L second vectors associated with each second feature vector; and obtaining a feature retrieval result of the first feature vector according to the second similarity. According to the embodiment of the invention, the feature retrieval efficiency of the first feature vector can be effectively improved.
Description
technical field [0001] The present application belongs to the technical field of machine learning, and in particular relates to a feature retrieval method, device, equipment and computer storage medium. Background technique [0002] As we all know, in the field of machine learning technology, features can be extracted from multimedia data such as images and videos, and these features can usually be represented in the form of feature vectors. Performing feature retrieval on the extracted feature vectors in a preset feature vector library can realize prediction or recognition of objects in multimedia data (such as people, animals, etc.). [0003] However, when the dimensionality of the feature vector is high, the feature retrieval process of the above feature vector has the problem of low efficiency. Contents of the invention [0004] Embodiments of the present application provide a feature retrieval method, device, device, and computer storage medium, which solve the probl...
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IPC IPC(8): G06K9/62G06K9/00G06F16/583
CPCG06F16/583G06V40/103G06F18/22G06F18/23213G06F18/213G06F18/25
Inventor 何群吴婷闾凡兵牟三钢
Owner 长沙海信智能系统研究院有限公司