Network teaching method and device based on convolutional neural network

A convolutional neural network and network teaching technology, applied in the field of computer-readable storage media, can solve the problems that users cannot choose to watch key content areas, and the teaching scene cannot be completely reproduced.

Active Publication Date: 2021-04-06
SHENZHEN EAGLESOUL TECH CO LTD
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  • Abstract
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Problems solved by technology

[0003] However, because the online teaching content can only be displayed on the user's display device, the teaching scene cannot be completely reproduced. Due to the conditions of the specific display device, the user cannot choose to watch the key content area in the online video screen that he wants to learn, or You can only watch the artificially identified key content of the video source signal to expand the display area

Method used

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  • Network teaching method and device based on convolutional neural network
  • Network teaching method and device based on convolutional neural network
  • Network teaching method and device based on convolutional neural network

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Embodiment Construction

[0053]Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The same reference numerals denote the same or similar parts in the drawings, and thus their repeated descriptions will be omitted.

[0054] Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided in order to give a thorough understanding of embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced without one or mor...

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Abstract

The disclosure relates to a convolutional neural network-based network teaching method, device, electronic equipment and storage medium. Among them, the method includes: analyzing the network teaching video signal, generating a feature framed image, performing high-frequency content detection on the feature framed image through multiple convolutional layers of the convolutional neural network algorithm, and determining the content that meets the preset frequency condition A plurality of candidate high-frequency content areas are processed through the pooling layer of the convolutional neural network algorithm to obtain the key content area and the position of the key content area in the feature framed image, according to the key content area At the position in the image, a focused network teaching video signal containing high-frequency content is generated and the output is displayed. The disclosure can automatically identify and generate network teaching video signals containing key content by analyzing network teaching video signals.

Description

technical field [0001] The present disclosure relates to the field of computer technology, in particular, to a convolutional neural network-based network teaching method, device, electronic equipment, and computer-readable storage medium. Background technique [0002] Network teaching is under the guidance of certain teaching theories and ideas, using multimedia and network technology to achieve teaching goals through multilateral and multi-directional interaction among teachers, students and media, as well as the collection, transmission, processing and sharing of teaching information in various media. a teaching mode. It has the advantages of openness, interaction, and sharing, breaking the limitations of traditional teaching in time and space, and is conducive to the promotion of research-based learning. [0003] However, because the online teaching content can only be displayed on the user's display device, the teaching scene cannot be completely reproduced. Due to the ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G09B19/00G06N3/04
CPCG09B19/00G06N3/045
Inventor 陈铿帆刘善果刘胜强
Owner SHENZHEN EAGLESOUL TECH CO LTD
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