CN113556491A - Online teaching screen recording method and system - Google Patents
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- CN113556491A CN113556491A CN202110775481.3A CN202110775481A CN113556491A CN 113556491 A CN113556491 A CN 113556491A CN 202110775481 A CN202110775481 A CN 202110775481A CN 113556491 A CN113556491 A CN 113556491A
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- H—ELECTRICITY
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- H04N5/00—Details of television systems
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- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B5/00—Electrically-operated educational appliances
- G09B5/06—Electrically-operated educational appliances with both visual and audible presentation of the material to be studied
- G09B5/065—Combinations of audio and video presentations, e.g. videotapes, videodiscs, television systems
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Abstract
The embodiment of the invention discloses an online teaching screen recording method and system, and belongs to the technical field of signal processing. The method comprises the following steps: acquiring a first image sequence and a first sound signal sequence of an online teaching video in a recording time period; performing noise reduction processing on each first image to obtain a second image, and performing noise reduction processing on each first sound signal to obtain a second sound signal; and combining the second image and the second sound signal according to the acquisition time tag to form an on-line teaching recording video. The invention can respectively reduce the noise of the image picture and the sound of the recorded screen video, thereby improving the image resolution and reducing the noise component in the sound, and then combining the image picture and the sound after noise reduction, thereby obtaining the recorded video with high quality.
Description
Technical Field
The invention belongs to the technical field of signal processing, and particularly relates to an online teaching screen recording method and system.
Background
In recent years, the population for online teaching is continuously expanded in order to solve the problems of inconvenience in back and forth and high time cost of offline learning, particularly offline teaching in different places. In order to keep some good online teaching videos, the videos are required to be recorded. For example, for live online teaching, it is also essential for the live teaching organizer to record the screen of the teaching process. However, for live online teaching, if a video recording party cannot reach the site in time or the site does not have a recording condition (for example, a teacher in live teaching is inconvenient to go to his home for video recording when teaching and explaining at his home), the teaching video can only be played online through an electronic device and recorded on the screen. However, the existing computer screen recording software has poor compatibility with various online teaching software, and cannot effectively record the online teaching video. If the screen is recorded by shooting the on-line teaching video played by the electronic equipment through the camera, because the noise in the directly shot audio and video integrated data is too large, an effective scheme for performing noise reduction processing on the integrated data still does not exist at present, and therefore the recorded video effect is poor.
Disclosure of Invention
In view of this, embodiments of the present invention provide an online teaching screen recording method and system, which are used to solve the problems that the compatibility of the current computer screen recording software to various online teaching software is not strong and the video effect obtained by directly recording the screen is not good. The invention can respectively reduce the noise of the image picture and the sound of the recorded screen video, thereby improving the image resolution and reducing the noise component in the sound, and then combining the image picture and the sound after noise reduction, thereby obtaining the recorded video with high quality.
In a first aspect, an embodiment of the present invention provides an online teaching screen recording method, including the following steps:
acquiring a first image sequence and a first sound signal sequence of an online teaching video in a recording time period; the first image sequence comprises first images collected by all collection points in the recording time period, the first sound signal sequence comprises first sound signals collected by all collection points in the recording time period, and the first images and the first sound signals are provided with collection time labels;
performing noise reduction processing on each first image to obtain a second image, and performing noise reduction processing on each first sound signal to obtain a second sound signal;
and combining the second image and the second sound signal according to the acquisition time tag to form an on-line teaching recording video.
In an optional embodiment, the performing noise reduction processing on each first image to obtain a second image includes:
and carrying out mean value filtering on the first images according to the following first formula to obtain second images:
wherein, m (x, y)tThe pixel value of the corresponding position of the pixel point (x, y) in the second image in the first image acquired by the t-th acquisition point; n (i, j)tThe pixel value of a pixel point (i, j) in a first image collected for a t-th collection point; t1, 2,. said, T; t is the total number of acquisition points of the recording time period; m represents the number of pixels covered by a preset filtering area in the first image, X is the number of pixels covered by the preset filtering area along the length direction of the first image, Y is the number of pixels covered by the preset filtering area along the width direction of the first image, and both X and Y are positive and odd numbers;
in an alternative embodiment, X is 9 and Y is 9.
In an alternative embodiment, each first sound signal is subjected to noise reduction processing according to the following second formula to obtain a corresponding second sound signal:
wherein the content of the first and second substances,
the signal processing method comprises the steps of obtaining a second sound signal after noise reduction for a first sound signal collected at a t-th collection point, wherein k (t) is a preset noise reduction function, y (t) is the first sound signal collected at the t-th collection point, f (y (t)) is a preset adjusting function, and the symbol | | represents an absolute value.
In an alternative embodiment, the preset adjustment function is calculated according to the following third formula:
wherein y (a) represents the first sound signal collected at the a-th collection point,
a second sound signal obtained by denoising a first sound signal collected by an a-th collection point, wherein a is 1, 2. sin () finds the sine function.
In a second aspect, an embodiment of the present invention provides an online teaching screen recording system, including:
the acquisition module is used for acquiring a first image sequence and a first sound signal sequence of the online teaching video in a recording time period; the first image sequence comprises first images collected by all collection points in the recording time period, the first sound signal sequence comprises first sound signals collected by all collection points in the recording time period, and the first images and the first sound signals are provided with collection time labels;
the noise reduction processing module is used for carrying out noise reduction processing on each first image to obtain a second image and carrying out noise reduction processing on each first sound signal to obtain a second sound signal;
and the merging module is used for merging the second image and the second sound signal according to the acquisition time tag to form an on-line teaching recording video.
In an optional embodiment, the denoising module is specifically configured to perform mean filtering on each first image according to the following first formula to obtain a corresponding second image:
wherein, m (x, y)tThe pixel value of the corresponding position of the pixel point (x, y) in the second image in the first image acquired by the t-th acquisition point; n (i, j)tPixel points (i,j) a pixel value of (a); t1, 2,. said, T; t is the total number of acquisition points of the recording time period; m represents the number of pixels covered by a preset filtering area in the first image, X is the number of pixels covered by the preset filtering area along the length direction of the first image, Y is the number of pixels covered by the preset filtering area along the width direction of the first image, and both X and Y are positive and odd numbers;
in an alternative embodiment, X is 9 and Y is 9.
In an optional embodiment, the noise reduction processing module is specifically configured to perform noise reduction processing on each first sound signal according to a following second formula to obtain a corresponding second sound signal:
wherein the content of the first and second substances,
the signal processing method comprises the steps of obtaining a second sound signal after noise reduction for a first sound signal collected at a t-th collection point, wherein k (t) is a preset noise reduction function, y (t) is the first sound signal collected at the t-th collection point, f (y (t)) is a preset adjusting function, and the symbol | | represents an absolute value.
In an optional embodiment, the noise reduction processing module is specifically configured to calculate the preset adjustment function according to a third formula as follows:
wherein y (a) represents the first sound signal collected at the a-th collection point,
a second sound signal obtained by denoising a first sound signal collected by an a-th collection point, wherein a is 1, 2. sin () sine calculationA function.
The on-line teaching screen recording method and the on-line teaching screen recording system provided by the invention have the advantages that firstly, the noise reduction processing is respectively carried out on the image and the sound signal of the on-line teaching video in the recording time period to obtain the noise-reduced image and sound signal, and then the noise-reduced image and sound signal are combined, so that the high-quality recorded video can be obtained.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of an online teaching screen recording method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an online teaching screen recording system according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
It should be understood that the described embodiments are only some embodiments of the invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a flowchart of an online teaching screen recording method according to an embodiment of the present invention. Referring to fig. 1, the method includes the following steps S101-S103:
s101: a first image sequence and a first sound signal sequence of the online teaching video in a recording time period are acquired.
The first image sequence comprises first images collected by all the collection points in the recording time period, the first sound signal sequence comprises first sound signals collected by all the collection points in the recording time period, and the first images and the first sound signals are provided with collection time labels.
In this embodiment, the time point corresponding to each frame of the online teaching video may be used as a time tag, that is, each time tag corresponds to one picture and also corresponds to one audio signal, so that it is convenient to perform noise reduction and merging on the picture and the audio information subsequently.
S102: and carrying out noise reduction processing on each first image to obtain a second image, and carrying out noise reduction processing on each first sound signal to obtain a second sound signal.
As an alternative embodiment, the mean filtering and denoising processing may be performed on each first image according to the following first formula to obtain a corresponding second image:
wherein, m (x, y)tThe pixel value of the corresponding position of the pixel point (x, y) in the second image in the first image acquired by the t-th acquisition point; n (i, j)tThe pixel value of a pixel point (i, j) in a first image collected for a t-th collection point; t1, 2,. said, T; t is the total number of acquisition points of the recording time period; m represents the number of pixels covered by a preset filtering area in the first image, X is the number of pixels covered by the preset filtering area along the length direction of the first image, Y is the number of pixels covered by the preset filtering area along the width direction of the first image, and both X and Y are positive and odd numbers;
when the first image is subjected to mean filtering, for the edge pixels of the first image, the edge positions of the original image can be enlarged by one circle and filled with new elements, and the values of the new elements are consistent with the values of the edges of the original image, so that the obtained filtering result is one circle less than that of the original image, but is consistent with the original image size just before enlargement, and the edge pixels can be filtered by adopting the first formula (1) after the filtering result is changed.
In the embodiment, the noise reduction processing is performed on the acquired image frame, so that the image resolution can be effectively improved. Because the image is often polluted by noise in different aspects, and the noise can be regarded as an isolated pixel point on the image, the noise is independent from the whole pixel matrix space and is obviously different from pixels in a certain field, and therefore the noise can be filtered by adopting a first formula. Wherein, M is generally 3 × 3, 5 × 5, 7 × 7, etc. Preferably, in order to improve the picture quality and improve the image resolution, a region where M is 9 × 9, that is, X is 9, Y is 9, and M is 81 may be used.
As an alternative embodiment, the noise reduction processing may be performed on each first sound signal according to the following second formula to obtain a corresponding second sound signal:
wherein the content of the first and second substances,
a second sound signal obtained by reducing the noise of the first sound signal collected at the t-th collection point, k (t) is a preset noise reduction function, y (t) is the first sound signal collected at the t-th collection point, f (y (t)) is a preset adjusting function, and the preset adjusting function is used for adjusting the first sound signal according to the historical signal-to-noise ratio
The symbol | represents the absolute value, namely | y (t) | represents the absolute value of y (t).
In this embodiment, the collected sound information is subjected to noise reduction, and it is assumed that the sound signal y (t) collected at the t-th time may be composed of x (t) + d (t), where x (t) represents a sound signal effective at the t-th time, and d (t) represents noise contained in the sound signal at the t-th time, so as to avoid problems of effective signal distortion and incomplete noise removal caused by a conventional sound noise reduction method, the sound signal may be subjected to noise reduction by using the second formula.
Preferably, the preset adjustment function is calculated according to a third formula as follows:
wherein y (a) represents the first sound signal collected at the a-th collection point,
and sin () is a sine function, and a is 1, 2. y (1) represents a first sound signal acquired by a 1 st acquisition point, namely an initial sound signal of an on-line teaching video acquired for the first time in a recording time period; in this formula, the symbol | | | also represents taking the absolute value.
In the embodiment, in the sound noise reduction process, in order to avoid the problems of effective signal distortion and incomplete noise removal caused by the traditional sound noise reduction method, compared with the current noise reduction method, the method adopts the adjusting function to perform processing and correction on subsequent sound noise reduction according to the historical signal-to-noise condition, and the noise reduction effect is more excellent.
S103: and combining the second image and the second sound signal according to the acquisition time tag to form an on-line teaching recording video.
In this embodiment, the image frames and the sound information after the noise reduction processing are combined, and in order to avoid the problem of inconsistency between sound and image frames, the image frames and the sound information after the noise reduction processing are combined according to a time sequence, for example, the image frame at the 1 st time is combined according to the sound information at the 1 st time, so as to form new video information, and obtain a high-quality recorded video. The situation that the sound of the current part of video websites is ahead of the picture or the sound of the current part of video websites is behind the picture is effectively avoided, and good audio-visual experience is brought to users.
According to the on-line teaching screen recording method provided by the embodiment, noise can be filtered for each pixel in the image picture of the screen recording video according to the pixel in the field, and meanwhile, the sound signal at each moment can be adjusted according to the historical signal-to-noise ratio, so that the noise component in the sound is reduced while the image resolution is improved. And finally, combining the image picture and the sound after noise reduction, thereby obtaining a high-quality recorded video.
Corresponding to the online teaching screen recording method provided by the embodiment of the present invention, an online teaching screen recording system is further provided by the embodiment of the present invention, and as shown in fig. 2, the system includes:
the system comprises an acquisition module 1, a recording module and a processing module, wherein the acquisition module is used for acquiring a first image sequence and a first sound signal sequence of an online teaching video in a recording time period; the first image sequence comprises first images collected by all collection points in the recording time period, the first sound signal sequence comprises first sound signals collected by all collection points in the recording time period, and the first images and the first sound signals are provided with collection time labels;
and the noise reduction processing module 2 is configured to perform noise reduction processing on each first image to obtain a second image, and perform noise reduction processing on each first sound signal to obtain a second sound signal. Preferably, the noise reduction processing module 2 is specifically configured to perform noise reduction processing on each first image according to the first formula to obtain a corresponding second image. Preferably, the noise reduction processing module 2 is further specifically configured to calculate a preset adjustment function according to the third formula, and then perform noise reduction processing on each first sound signal according to the second formula and the preset adjustment function to obtain a corresponding second sound signal.
And the merging module 3 is used for merging the second image and the second sound signal according to the acquisition time tag to form an on-line teaching recording video.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations. The above description is only for the specific embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. The online teaching screen recording method is characterized by comprising the following steps:
acquiring a first image sequence and a first sound signal sequence of an online teaching video in a recording time period; the first image sequence comprises first images collected by all collection points in the recording time period, the first sound signal sequence comprises first sound signals collected by all collection points in the recording time period, and the first images and the first sound signals are provided with collection time labels;
performing noise reduction processing on each first image to obtain a second image, and performing noise reduction processing on each first sound signal to obtain a second sound signal;
and combining the second image and the second sound signal according to the acquisition time tag to form an on-line teaching recording video.
2. The on-line teaching screen recording method according to claim 1, wherein the denoising processing of each first image to obtain a second image comprises:
and carrying out mean value filtering on the first images according to the following first formula to obtain second images:
wherein, m (x, y)tThe pixel value of the corresponding position of the pixel point (x, y) in the second image in the first image acquired by the t-th acquisition point; n (i, j)tThe pixel value of a pixel point (i, j) in a first image collected for a t-th collection point; t ═ 1,2, …, T; t is the total number of acquisition points of the recording time period; m represents the number of pixels covered by a preset filtering area in the first image, X is the number of pixels covered by the preset filtering area along the length direction of the first image, Y is the number of pixels covered by the preset filtering area along the width direction of the first image, and both X and Y are positive and odd numbers;
3. the on-line teaching screen recording method as claimed in claim 2, wherein X is 9 and Y is 9.
4. The on-line teaching screen recording method of claim 1, wherein each first sound signal is subjected to noise reduction processing according to the following second formula to obtain a corresponding second sound signal:
wherein the content of the first and second substances,
the signal processing method comprises the steps of obtaining a second sound signal after noise reduction for a first sound signal collected at a t-th collection point, wherein k (t) is a preset noise reduction function, y (t) is the first sound signal collected at the t-th collection point, f (y (t)) is a preset adjusting function, and the symbol | | represents an absolute value.
5. The on-line tutorial screen recording method of claim 4, wherein the preset adjustment function is calculated according to the third formula:
wherein y (a) represents the first sound signal collected at the a-th collection point,
a second sound signal obtained by denoising the first sound signal collected by the a-th collection point, wherein a is 1,2, …, t-1; sin () is a sine function.
6. Online teaching record screen system, its characterized in that includes:
the acquisition module is used for acquiring a first image sequence and a first sound signal sequence of the online teaching video in a recording time period; the first image sequence comprises first images collected by all collection points in the recording time period, the first sound signal sequence comprises first sound signals collected by all collection points in the recording time period, and the first images and the first sound signals are provided with collection time labels;
the noise reduction processing module is used for carrying out noise reduction processing on each first image to obtain a second image and carrying out noise reduction processing on each first sound signal to obtain a second sound signal;
and the merging module is used for merging the second image and the second sound signal according to the acquisition time tag to form an on-line teaching recording video.
7. The on-line teaching screen recording system of claim 6, wherein the noise reduction processing module is specifically configured to perform mean filtering on each first image according to the following first formula to obtain a corresponding second image:
wherein, m (x, y)tThe pixel value of the corresponding position of the pixel point (x, y) in the second image in the first image acquired by the t-th acquisition point; n (i, j)tThe pixel value of a pixel point (i, j) in a first image collected for a t-th collection point; t ═ 1,2, …, T; t is the total number of acquisition points of the recording time period; m represents the number of pixels covered by a preset filtering area in the first image, X is the number of pixels covered by the preset filtering area along the length direction of the first image, Y is the number of pixels covered by the preset filtering area along the width direction of the first image, and both X and Y are positive and odd numbers;
8. the on-line tutorial screen recording system of claim 7 wherein X-9 and Y-9.
9. The on-line teaching screen recording system of claim 6, wherein the noise reduction processing module is specifically configured to perform noise reduction processing on each first sound signal according to the following second formula to obtain a corresponding second sound signal:
wherein the content of the first and second substances,
the signal processing method comprises the steps of obtaining a second sound signal after noise reduction for a first sound signal collected at a t-th collection point, wherein k (t) is a preset noise reduction function, y (t) is the first sound signal collected at the t-th collection point, f (y (t)) is a preset adjusting function, and the symbol | | represents an absolute value.
10. The on-line teaching screen recording system of claim 9, wherein the noise reduction processing module is specifically configured to calculate the preset adjustment function according to a third formula:
wherein y (a) represents the first sound signal collected at the a-th collection point,
a second sound signal obtained by denoising the first sound signal collected by the a-th collection point, wherein a is 1,2, …, t-1; sin () is a sine function.
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| CN112329558A (en) * | 2020-10-22 | 2021-02-05 | 上海交通大学 | FeO content prediction method based on sintering machine tail section video |
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