A unified method, apparatus, communication system, and storage medium for eigenvectors
A technology of eigenvectors and unified methods, which is applied in the field of communication, can solve the problems of inconsistent eigenvector model versions, consumption of intelligent module performance, and inability to be used directly, so as to reduce processing tasks, reduce the number of feature extractions, and reduce performance consumption Effect
Active Publication Date: 2022-08-09
ZHEJIANG DAHUA TECH CO LTD
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[0002] In the device-edge-cloud technology of the existing communication system, the processing scheme for the image stream is to obtain the image stream from the end or the edge, and then transmit it to the cloud, and then the cloud extracts the image feature vector in the central server, while the current The versions of the eigenvector models used in the respective algorithms of the device, the edge, and the cloud are not uniform. The eigenvectors extracted by the front-end device from the image stream cannot be directly used by the back-end device after being transmitted to the back-end device. Extract eigenvectors, and when the device, edge, and cloud use their own eigenvector models to extract eigenvectors from image streams, the performance of the intelligent module will be consumed
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[0020] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.
[0021] see figure 1 , figure 1 It is a schematic flowchart of an embodiment of a method for unifying feature vectors provided by the present application. The method is applied to a back-end device in a communication system. The communication system includes a front-end device and a back-end device. The method includes:
[0022] Step 11: In response to the difference between the feature vector model version information of the front-end d...
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The present application discloses a unified method for feature vector, front-end device, back-end device, communication system and computer-readable storage medium, the method is applied to the back-end device in the communication system, and the communication system includes the front-end device and the back-end device , the method includes: in response to the feature vector model version information of the front-end device being different from the feature vector model version information of the back-end device, judging whether the front-end device supports the upgrade of the feature vector model version; if so, sending a model upgrade package to the front-end device, So that the front-end device upgrades the feature vector model version of the front-end device to the feature vector model version of the back-end device based on the model upgrade package, wherein the model upgrade package includes the feature vector of the back-end device and the feature vector model version information of the back-end device. In the above manner, the present application can unify the feature vectors in the communication system, reduce the performance consumption of the intelligent module, and improve the system performance.
Description
technical field [0001] The present application relates to the field of communication technologies, and in particular, to a unified method for feature vectors, front-end equipment, back-end equipment, communication systems, and computer-readable storage media. Background technique [0002] In the terminal-edge-cloud technology of the existing communication system, the processing scheme for the image stream is to obtain the image stream from the terminal or the edge, and then transmit it to the cloud, and then the cloud extracts the image feature vector in the central server. The version of the feature vector model used in the respective algorithms of the device, edge and cloud is not uniform. The feature vector extracted from the image stream by the front-end device cannot be directly used by the back-end device after being transmitted to the back-end device, and the back-end device still needs to be used again. Extract feature vectors, and when the end, edge, and cloud use t...
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IPC IPC(8): H04L67/00G06F8/65G06F8/71
CPCH04L67/34G06F8/65G06F8/71
Inventor 黄云寿卢成翔
Owner ZHEJIANG DAHUA TECH CO LTD