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User-set character size adaptive matching system

An adaptive matching and character technology, applied in the field of neural network, can solve matching problems and achieve effective recognition and timely control

Inactive Publication Date: 2021-12-31
曲建波 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, because people's pursuit of live images is not only the clarity of the images, but also the beauty and harmony of the images. For example, in the prior art, the subtitles set by each viewer in the live images have different character sizes, causing the anchor The size of the image is difficult to match the size of the screen display characters at each playback moment

Method used

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Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] The implementation of the user-set character size adaptive matching system of the present invention will be described in detail below.

[0023] Convolutional Neural Networks (CNN) is a type of Feedforward Neural Networks (Feedforward Neural Networks) that includes convolution calculations and has a deep structure. It is one of the representative algorithms for deep learning. Convolutional neural network has the ability of representation learning, and can perform shift-invariant classification on input information according to its hierarchical structure, so it is also called "Shift-Invariant Artificial Neural Networks". , SIANN)".

[0024] Research on convolutional neural networks began in the 1980s and 1990s. Time-delay networks and LeNet-5 were the earliest convolutional neural networks; after the 21st century, with the introduction of deep learning theory and numerical calculation With the improvement of equipment, the convolutional neural network has been developed ...

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Abstract

The present invention relates to a user-set character size adaptive matching system, comprising: a distance measurement mechanism, which is set at the anchor client of the live broadcast platform, and is located on the shell of the camera used to shoot the anchor picture, and is used to measure the distance between the editor-in-chief's face and the anchor client. The real-time distance of the camera; the error notification device is implemented by a display mechanism or a voice playback mechanism, and is used to perform corresponding error when the difference between the received real-time distance and the optimal distance between the anchor and the camera at the current moment exceeds the limit. Notification operation; content collection device, used to collect the current live broadcast screen of the anchor client. The user-set character size self-adaptive matching system of the present invention has effective identification and timely control. Since the broadcasting distance of the host can be adaptively adjusted based on the display character size set by each live broadcast user in the current live broadcast screen, the characters of the live screen and the size of the host image can be matched.

Description

technical field [0001] The invention relates to the field of neural networks, in particular to a user-set character size adaptive matching system. Background technique [0002] Artificial Neural Networks (ANNs for short), also referred to as neural networks (NNs) or connection models (Connection Model), is a kind of algorithmic mathematics that imitates the behavior characteristics of animal neural networks and performs distributed parallel information processing. Model. This kind of network depends on the complexity of the system, and achieves the purpose of processing information by adjusting the interconnection relationship between a large number of internal nodes. [0003] The biological neural network mainly refers to the neural network of the human brain, which is the technical prototype of the artificial neural network. The human brain is the material basis of human thinking. The function of thinking is located in the cerebral cortex, which contains about 10^11 neur...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F9/451G06N3/04G06N3/08G06T7/11G06T7/62H04N21/2187
CPCG06F9/451G06N3/08G06T7/11G06T7/62H04N21/2187G06T2207/20021G06T2207/20081G06T2207/20084G06V10/22G06V20/62G06N3/045G06N3/044
Inventor 曲建波赵建杨洋
Owner 曲建波