Multi-working-condition model automatic selection method and device based on video signals
A video signal, automatic selection technology, applied in the field of signal processing, can solve the problems of reliability, accuracy, and inability to be widely used, and achieve the effect of improving popularization and reliability
Pending Publication Date: 2022-03-01
浙江蓝卓工业互联网信息技术有限公司
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Problems solved by technology
[0003] In the existing technology, usually different models are fused under the characteristics of multi-working conditions, multi-environment, and multi-stages to obtain a model. However, for scenarios with large differences in different working conditions and stages, only the It is difficult to guarantee the reliability and accuracy of a single model for prediction, and it cannot be widely used
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[0066] 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 only some, not all, embodiments of the present invention. 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.
[0067] In this application, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus comprising a set of elements includes not only those elements, but also includes none. other elements specifically listed, or also include elements inherent in such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "com...
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The invention provides a multi-working-condition model automatic selection method and device based on a video signal, and the method comprises the steps: obtaining a shot to-be-analyzed video signal in real time in a process of executing a business comprising a plurality of working conditions; analyzing the to-be-analyzed video signal based on a pre-established visual model to obtain a working condition model of a working condition corresponding to the to-be-analyzed video signal; and calling the working condition model for prediction to obtain predicted working condition parameters. In the scheme, after the visual model is established in advance, the to-be-analyzed video signal is analyzed by using the visual model, and after the working condition model of the working condition corresponding to the to-be-analyzed video signal is determined, the determined working condition model is called for working condition parameter prediction, so that the generalization and reliability of each working condition model are improved.
Description
technical field [0001] The invention relates to the technical field of signal processing, in particular to a method and device for automatically selecting multi-working-condition models based on video signals. Background technique [0002] Multiple working condition scenarios are common in various industries. During the simulation modeling process, most views integrate multiple working condition changes into one model to reduce the complexity of the model. [0003] In the existing technology, usually different models are fused under the characteristics of multi-working conditions, multi-environment, and multi-stages to obtain a model. However, for scenarios with large differences in different working conditions and stages, only the It is difficult to guarantee the reliability and accuracy of forecasting with a single model, and it cannot be widely used. Contents of the invention [0004] In view of this, embodiments of the present invention provide a method and device for...
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Login to View More IPC IPC(8): G06V20/40G06V10/28G06V10/30G06V10/44G06V10/56G06V10/82G06N3/08G06Q10/04G06Q50/04
CPCG06N3/08G06Q10/04G06Q50/04Y02P90/30
Inventor 杨明明李佳鹤阮志坚刘贤康
Owner 浙江蓝卓工业互联网信息技术有限公司