Video conference background virtualization processing method and device
A video conferencing and virtualization technology, applied in the field of video conferencing background virtualization processing, can solve problems such as inability to achieve high-precision separation
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Embodiment 1
[0053] This embodiment provides a video conference background virtualization processing method, such as figure 1 shown, including the following steps:
[0054] S1. Obtain the first sound information within the first preset time period of the video conference, mark the first sound information according to the pre-built first deep learning network model, and obtain the first meeting content keywords; preferably, The first sound information may be collected by a sound sensor.
[0055] S2. Obtain the first conference theme set according to the keyword identification of the first meeting content, and output a message containing the content of the first meeting theme set; the display module displays the message for the user to choose, and the user can choose to better meet his needs One of the first conference topics in the first conference topic set of .
[0056] S3. Obtain a response message of the message, where the response message includes the content of a first conference to...
Embodiment 2
[0123] This embodiment provides a video conference background virtualization processing device, such as Figure 4 As shown, it includes: a smart interactive screen control system, a display module, a video codec transmission module, a 3D TOF three-dimensional measurement module, an image acquisition module and a fusion processing module; The module is connected with the fusion processing module; the fusion processing module is connected with the 3D TOF three-dimensional measurement module and the image acquisition module respectively; the display module is connected with the video codec transmission module;
[0124] The smart interactive screen control system is used to obtain the first sound information within the first preset time period of the video conference, mark the first sound information according to the pre-built first deep learning network model, and obtain the first conference content keywords; identify and obtain the first conference topic set according to the fir...
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