Virtual face selection model training method, online video psychological counseling privacy protection method, storage medium and psychological counseling system

Abstract

The present application provides a virtual face selection model training method, an online video psychological counseling privacy protection method, a storage medium and a psychological counseling system. In the case of multiple online video psychological counseling, the following sample acquisition step is executed each time to obtain multiple sets of learning samples: obtaining a psychological counseling video of a video visitor, identifying the actual face image therein, extracting the facial features of the actual face image, analyzing the expression data of the video visitor based on the same, obtaining the result of the video visitor's selection among multiple different virtual face images, taking the expression data of the video visitor as the input signal and the selected result as the output signal to constitute a set of learning samples for training of a virtual face selection model; and training the virtual face selection model using multiple sets of learning samples until the virtual face selection model has the ability to analyze the expression data of the video visitor to derive the virtual face image that the video visitor tends to select.

Description

Technical Field

[0001] This invention relates to the field of privacy protection technology, and in particular to a virtual face selection model training method, an online video psychological counseling privacy protection method, a storage medium, and an online video psychological counseling system. Background Technology

[0002] With the development and popularization of mobile internet technology, more and more people are seeking online psychological counseling from therapists through online video counseling systems. Therapists typically record and save the video counseling sessions with clients so that they can later compile the videos into case studies and use these case studies to review or learn from the counseling process.

[0003] Some video-based clients, due to their psychological sensitivity, often wish to conceal their identity during counseling. To address this, online video counseling systems offer clients multiple virtual face images. At the start of the session, clients can choose their preferred virtual face image to obscure their face and conceal their identity. However, clients' choices are often influenced by their emotions, and different emotional states lead to different preferred images. Therefore, providing a large number of different virtual face images for clients to choose from results in a time-consuming selection process. Summary of the Invention

[0004] The technical problem to be solved by this invention is how to reduce the time required for video visitors to confirm virtual face images.

[0005] The inventors realized that the emotions of video visitors when selecting virtual face images can affect their facial expressions; that is, the facial expressions of video visitors when selecting virtual face images can reflect the emotions of the video visitors at that time. Therefore, the present invention provides the following technical solution to solve the above-mentioned technical problem:

[0006] This invention provides a method for training a virtual face selection model, comprising the following steps:

[0007] P. In the case of multiple online video psychological counseling sessions, perform the following sample acquisition steps A, B, C, D, E, and F for each online video psychological counseling session to obtain multiple sets of learning samples:

[0008] —A. Obtain psychological counseling videos of video clients;

[0009] —B. Identify the actual facial images of the video clients in the aforementioned psychological counseling videos;

[0010] —C. Extract facial features from the actual human face image;

[0011] —D. Analyze the facial features of the actual human face image to understand the facial expression data of the video client in the psychological counseling video;

[0012] —E. Obtain the result of the video visitor's selection from multiple different virtual face images;

[0013] —F. Using the facial expression data of the video client in the psychological counseling video as the input signal and the selected result as the output signal, a set of learning samples is formed for training the virtual face selection model;

[0014] Q. The virtual face selection model is trained using the multiple sets of learning samples until the virtual face selection model has the ability to analyze and determine the virtual face image that the video client tends to choose based on the facial expression data of the video client in the psychological counseling video.

[0015] Preferably, the facial expression data of the video client in the psychological counseling video is specifically taken from the facial expression data of the video client at the beginning of the psychological counseling video.

[0016] Preferably, in step E, the selection is specifically a choice between two options.

[0017] This invention also provides a method for protecting privacy in online video psychological counseling, comprising the following steps:

[0018] a. Obtain psychological counseling videos of video clients;

[0019] b. Identify the actual facial images of the video clients in the aforementioned psychological counseling videos;

[0020] f. Output the virtual face image to the video visitor for confirmation;

[0021] g. Overlay the actual face image of the video client in the psychological counseling video with a virtual face image confirmed by the video client;

[0022] It also includes the following steps c, d, and e, which are performed after steps a and b and before steps f and g:

[0023] c. Extract facial features from the actual human face image;

[0024] d. Analyze the facial expression data of the video client in the psychological counseling video based on the facial features of the actual human face image;

[0025] e. Input the facial expression data of the video visitor in the psychological counseling video into the pre-trained virtual face selection model, and the pre-trained virtual face selection model analyzes the data to determine the virtual face image that the video visitor tends to select;

[0026] Specifically, step f involves outputting the virtual face image that the video visitor prefers to select to the video visitor for confirmation.

[0027] Preferably, in step f, the specific output method for outputting the virtual face image to the video visitor is: to sort the virtual face images that the video visitor prefers in a preferred order and output them to the video visitor.

[0028] Preferably, in step f, the specific output method for outputting the virtual face image to the video client is as follows: the virtual face image that the video client prefers to select is overlaid on the actual face image of the video client in the psychological counseling video by default, and other virtual face images are output to the video client as candidates.

[0029] Preferably, the method includes the following steps: h. In response to changes in the facial features of the actual face image in the psychological counseling video, changing the facial features of the virtual face image overlaid on the actual face image.

[0030] Preferably, the trained virtual face selection model is the virtual face selection model obtained after performing the above-described virtual face selection model training method.

[0031] The present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps in the virtual face selection model training method described above, and / or implements the steps in the online video psychological counseling privacy protection method described above.

[0032] The present invention also provides an online video psychological counseling system, including a server and a video display device. The video display device is used to display the psychological counseling video of the video client. The video display device is communicatively connected to the server to a video acquisition device for acquiring the psychological counseling video of the video client. The server includes a computer-readable storage medium and a processor connected to each other, as described above.

[0033] The present invention has the following beneficial effects: After training the virtual face selection model, the virtual face selection model has the ability to analyze and determine the virtual face image that the video client prefers based on the facial expression data of the video client in the psychological counseling video. Therefore, as long as the facial expression data of the video client in the psychological counseling video is input into the trained virtual face selection model, the trained virtual face selection model can analyze and determine the virtual face image that the video client prefers based on the facial expression data. In this way, the virtual face image that the video client prefers can be output to the video client for confirmation. In this way, the video client can quickly confirm the appropriate virtual face image used to cover the actual face image, thereby reducing the time spent by the video client in confirming the virtual face image. Attached Figure Description

[0034] Figure 1 This is a flowchart of the training method for a virtual face selection model;

[0035] Figure 2 This is a flowchart illustrating methods for protecting privacy in online video psychological counseling. Detailed Implementation

[0036] The present invention will be further described in detail below with reference to specific embodiments.

[0037] This embodiment provides an online video psychological counseling system. The system includes a server and a video display device. The video display device can be a smart terminal device with a screen, such as a desktop computer, laptop computer, tablet computer, or mobile phone, used to display the psychological counseling video of the client to the psychological counselor. The video display device is communicatively connected to a video acquisition device via the server. The video acquisition device can be a smart terminal device with a camera, such as a desktop computer, laptop computer, tablet computer, or mobile phone, used to capture and acquire the psychological counseling video of the client. The server includes a computer-readable storage medium and a processor interconnected thereon, and the computer-readable storage medium stores a computer program.

[0038] In this embodiment, when a video client uses the online video psychological counseling system for online psychological counseling, they can choose to confirm a virtual face image to cover their actual face image in the counseling video to protect their privacy. To reduce the time spent by the video client confirming the virtual face image, the online video psychological counseling system first uses a virtual face selection model to analyze and obtain the virtual face image that the video client tends to choose, then outputs the virtual face image that the video client tends to choose to the video client for confirmation, and then uses the virtual face image confirmed by the video client to cover the video client's actual face image in the counseling video. For this purpose, the computer program on the computer-readable storage medium, when executed by the processor, implements the following... Figure 1The virtual face selection model training method shown includes the following steps P and Q:

[0039] P. In the case of multiple online video psychological counseling sessions, perform the following sample acquisition steps A, B, C, D, E, and F for each online video psychological counseling session to obtain multiple sets of learning samples:

[0040] A. Obtain psychological counseling videos of video clients.

[0041] In this embodiment, the server of the online video psychological counseling system is connected to the video acquisition device, so that the server can use the video acquisition device to capture and acquire video counseling videos of the visitors.

[0042] B. Identify the actual facial images of video clients in psychological counseling videos.

[0043] After acquiring the video of the video client's psychological counseling session, the server uses facial recognition technology to identify the actual facial image of the video client. It should be noted that facial recognition technology can determine whether a face exists in the psychological counseling video; if so, it can further identify the face's location, size, and the position and shape of its major facial features.

[0044] C. Extract facial features from actual human face images.

[0045] After identifying the actual facial image of the video client in the psychological counseling video, the server uses facial recognition technology to extract facial features from the actual facial image based on its location, size, and the location and shape of each major facial feature. The extracted facial features include eye shape, nose shape, mouth shape, and eyebrow shape. Specifically, eye shape includes open and wide eyes; nose shape includes open and furrowed noses; mouth shape includes closed, open, and furrowed mouths; and eyebrow shape includes open and furrowed eyebrows.

[0046] D. Analyze the facial expression data of video clients in psychological counseling videos based on the facial features of actual human face images.

[0047] The facial expressions of video clients in psychological counseling videos can be one of the following: anger, disgust, fear, happiness, calmness, sadness, or surprise. In the actual facial image of the video client: if the facial features are open eyes, a wrinkled nose, a closed mouth, and wrinkled eyebrows, it means the facial expression is anger; if the facial features are open eyes, a relaxed nose, a closed mouth, and wrinkled eyebrows, it means the facial expression is disgust; if the facial features are wide eyes, a relaxed nose, an open mouth, and wrinkled eyebrows, it means the facial expression is fear; if the facial features are open eyes, a relaxed nose, an open mouth, and wrinkled eyebrows, it means the facial expression is fear; if the facial features are open eyes, a relaxed nose, and a closed mouth, it means the facial expression is fear. Open eyes and relaxed eyebrows indicate a happy expression in the video consultation; open eyes, relaxed nose, closed mouth, and relaxed eyebrows indicate a calm expression; open eyes, wrinkled nose, wrinkled mouth, and wrinkled eyebrows indicate sadness; wide eyes, relaxed nose, open mouth, and relaxed eyebrows indicate surprise.

[0048] In this embodiment, the facial expression data of the video client in the psychological counseling video is specifically taken from the facial expression data at the beginning of the psychological counseling video. This way, the facial expression data used reflects the emotions of the video client at the start of the psychological counseling. In other embodiments, the facial expression data of the video client in the psychological counseling video is specifically taken from the facial expression data that the video client displays for the longest time in the psychological counseling video. This way, the facial expression data used reflects the emotions that the video client maintains for the longest time during the psychological counseling process.

[0049] E. Obtain the results of the video visitor's selection from multiple different virtual face images.

[0050] After analyzing the facial expressions of the video client in the psychological counseling video, the server displays several different virtual face images to the video client through the video acquisition device. These include Virtual Face Image 1, Virtual Face Image 2, Virtual Face Image 3, and Virtual Face Image 4. These virtual face images are cartoon images that differ significantly from real human faces. The video client needs to choose one of these virtual face images. Specifically, the video client clicks on the desired virtual face image on the video acquisition device, and the server then obtains the result of the video client's selection from the multiple virtual face images.

[0051] F. Using the facial expression data of video clients in psychological counseling videos as input signals and the selected results as output signals, a set of learning samples is constructed for training the virtual face selection model.

[0052] For example, in an online video counseling session, if the client starts the video with their eyes open, nose relaxed, mouth closed, and eyebrows relaxed, it means their facial expression data in the video is calm. If the client selected virtual face expression three, then a learning sample is obtained: the input signal is a calm expression, and the output signal is virtual face image three. In another online video counseling session, if the client starts the video with their eyes open, nose wrinkled, mouth wrinkled, and eyebrows furrowed, it means their facial expression data in the video is sad. If the client selected virtual face expression two, then a learning sample is obtained: the input signal is a sad expression, and the output signal is virtual face image two.

[0053] Q. After repeatedly executing the above sample acquisition steps A, B, C, D, E, and F to obtain multiple sets of learning samples, the virtual face selection model is trained using multiple sets of learning samples until the virtual face selection model has the ability to analyze and determine the virtual face image that the video client tends to choose based on the facial expression data of the video client in the psychological counseling video.

[0054] For example, during the training of the virtual face selection model, there are 1000 sets of learning samples with calm facial expressions from video clients in psychological counseling videos. Among these, 800 sets of video clients selected virtual face image three, 100 sets selected virtual face image one, 80 sets selected virtual face image two, and 20 sets selected virtual face image four. Thus, after the virtual face selection model is trained, when the facial expressions of video clients are calm, it can analyze and determine that the video client's first tendency to choose virtual face image three, the second tendency to choose virtual face image one, the third tendency to choose virtual face image two, and the fourth tendency to choose virtual face image four.

[0055] After training the virtual face selection model using the above-described virtual face selection model training method, the server uses the trained virtual face selection model to implement a privacy protection method for online video psychological counseling. This privacy protection method for online video psychological counseling includes the following steps: a, b, c, d, e, f, g.

[0056] a. Obtain psychological counseling videos of video clients.

[0057] In this embodiment, the server of the online video psychological counseling system is connected to the video acquisition device, so that the server can use the video acquisition device to capture and acquire video counseling videos of the visitors.

[0058] b. Identify the actual facial images of video clients in psychological counseling videos.

[0059] After acquiring the video of the video client's psychological counseling session, the server uses facial recognition technology to identify the actual facial image of the video client. It should be noted that facial recognition technology can determine whether a face exists in the psychological counseling video; if so, it can further identify the face's location, size, and the position and shape of its major facial features.

[0060] c. Extract facial features from actual human face images.

[0061] After identifying the actual facial image of the video client in the psychological counseling video, the server uses facial recognition technology to extract facial features from the actual facial image based on its location, size, and the location and shape of each major facial feature. The extracted facial features include eye shape, nose shape, mouth shape, and eyebrow shape. Specifically, eye shape includes open and wide eyes; nose shape includes open and furrowed noses; mouth shape includes closed, open, and furrowed mouths; and eyebrow shape includes open and furrowed eyebrows.

[0062] d. Analyze the facial expression data of video clients in psychological counseling videos based on the facial features of actual human face images.

[0063] The facial expressions of video clients in psychological counseling videos can be one of the following: anger, disgust, fear, happiness, calmness, sadness, or surprise. In the actual facial image of the video client: if the facial features are open eyes, a wrinkled nose, a closed mouth, and wrinkled eyebrows, it means the facial expression is anger; if the facial features are open eyes, a relaxed nose, a closed mouth, and wrinkled eyebrows, it means the facial expression is disgust; if the facial features are wide eyes, a relaxed nose, an open mouth, and wrinkled eyebrows, it means the facial expression is fear; if the facial features are open eyes, a relaxed nose, an open mouth, and wrinkled eyebrows, it means the facial expression is fear; if the facial features are open eyes, a relaxed nose, and a closed mouth, it means the facial expression is fear. Open eyes and relaxed eyebrows indicate a happy expression in the video consultation; open eyes, relaxed nose, closed mouth, and relaxed eyebrows indicate a calm expression; open eyes, wrinkled nose, wrinkled mouth, and wrinkled eyebrows indicate sadness; wide eyes, relaxed nose, open mouth, and relaxed eyebrows indicate surprise.

[0064] In this embodiment, the facial expression data of the video client in the psychological counseling video is specifically taken from the facial expression data at the beginning of the psychological counseling video. This way, the facial expression data used reflects the emotions of the video client at the start of the psychological counseling. In other embodiments, the facial expression data of the video client in the psychological counseling video is specifically taken from the facial expression data that the video client displays for the longest time in the psychological counseling video. This way, the facial expression data used reflects the emotions that the video client maintains for the longest time during the psychological counseling process.

[0065] In this embodiment, the facial features of the video client at the beginning of the psychological counseling video are open eyes, open nose, closed mouth and open eyebrows. Thus, the server analyzes and concludes that the facial expression data of the video client at the beginning of the psychological counseling video is calm.

[0066] e. Input the facial expression data of the video client in the psychological counseling video into the pre-trained virtual face selection model, and the pre-trained virtual face selection model analyzes the data to determine the virtual face image that the video client tends to choose.

[0067] After analyzing the facial expressions of the video client in the psychological counseling video and finding that they were calm, the server inputs the calm facial expression data of the video client into the virtual face selection model that has been trained using the aforementioned virtual face selection model training method. Based on the calm facial expression data, the trained virtual face selection model analyzes and determines that the video client's first tendency to choose virtual face image is virtual face image three, the second tendency is virtual face image one, the third tendency is virtual face image two, and the fourth tendency is virtual face image four.

[0068] f. Output the virtual face image that the video visitor prefers to select to the video visitor for confirmation.

[0069] In this embodiment, the specific output method for providing the virtual face image preferred by the video visitor is as follows: the virtual face images preferred by the video visitor are sorted in a preferred order and output to the video visitor. As mentioned above, the first preferred virtual face image for the video visitor is virtual face image three, the second preferred virtual face image is virtual face image one, the third preferred virtual face image is virtual face image two, and the fourth preferred virtual face image is virtual face image four. Thus, the server uses the video acquisition device to sort virtual face images one, two, three, and four in the order of virtual face image three, virtual face image one, virtual face image two, and virtual face image four and outputs them to the video visitor for confirmation. Faced with multiple virtual face images sorted in a preferred order, the video visitor can quickly select and confirm the appropriate virtual face image to cover the actual face image, thereby reducing the time spent by the video visitor in confirming the virtual face image.

[0070] In other embodiments, the specific output method for providing the video client with the virtual face image they prefer is as follows: the virtual face image they prefer is displayed on top of the actual face image of the video client in the psychological counseling video, and other virtual face images are output to the video client as candidates. As can be seen from the above, the first virtual face image the video client prefers is virtual face image three, the second is virtual face image one, the third is virtual face image two, and the fourth is virtual face image four. Thus, the server first displays the psychological counseling video and the actual face image of the video client on the video acquisition device, then displays the first preferred virtual face image three on top of the actual face image of the video client in the psychological counseling video, and finally displays virtual face images one, two, and four on the video acquisition device for the video client to consider. When a virtual face image is pre-overlaid on the actual face image in a video counseling session, the video client can quickly identify the appropriate virtual face image used to overlay the actual face image, thereby reducing the time spent by the video client in identifying the virtual face image.

[0071] g. Use a virtual face image confirmed by the video client to overlay the actual face image of the video client in the counseling video.

[0072] When using the above-mentioned method of outputting virtual face images in a preferred order, if the video visitor clicks on one of the displayed virtual face images on the video acquisition device, it is considered as confirmation of the clicked virtual face image. The server then uses the virtual face image confirmed by the video visitor to cover the actual face image of the video visitor in the psychological counseling video.

[0073] When using the default virtual face image output method described above, a confirmation touch button will be displayed on the video acquisition device for the video visitor to click and confirm. If the video visitor confirms the selection of the default virtual face image three, they can directly click the confirmation touch button to confirm. If the video visitor does not want to select the default virtual face image three, they can choose one from the candidate virtual face images one, two, and four, and then click the confirmation touch button to confirm. If the video visitor does not receive any modification operation from the video visitor within a predetermined time (e.g., within the duration of the psychological counseling video, or within 5 seconds or 10 seconds), the server automatically assumes that the video visitor has confirmed the default virtual face image three. After the video visitor confirms the virtual face image, the server uses the virtual face image confirmed by the video visitor to overwrite the actual face image of the video visitor in the psychological counseling video.

[0074] In another embodiment, the aforementioned default overlay virtual face image output method is adopted. However, in addition to displaying a confirmation touch button for the video visitor to click and confirm, the video acquisition device also displays a virtual face image switching touch button. After the server defaults to overlaying the virtual face image three, which is the first preferred choice of the video visitor, onto the actual face image of the video visitor in the psychological counseling video, it does not display and output virtual face images one, two, and four on the video acquisition device. Instead, if the video visitor does not want to select the default overlay virtual face image three and clicks the switch touch button, it overlays the actual face image of the video visitor in the psychological counseling video with the virtual face image one, which is the second preferred choice of the video visitor. If the video visitor still does not want to select the second preferred choice virtual face image one, they can continue to click the switch touch button to switch the virtual face image one overlay on the actual face image to the third preferred choice virtual face image two. That is, the video visitor can keep clicking the switch touch button to switch the virtual face image overlay on the actual face image until the video visitor clicks the confirmation touch button to confirm.

[0075] After performing step g above, step h is performed. In response to changes in the facial features of the actual face image in the psychological counseling video, the facial features of the virtual face image overlaid on the actual face image are changed.

[0076] For example, at the beginning of a video consultation, the client's facial features are open eyes, a relaxed nose, a closed mouth, and relaxed eyebrows. This means the client's initial facial expression is calm. However, during the consultation, the client's emotions change, affecting their facial expression and causing it to shift from calm to sadness. Consequently, the actual face image of the client in the video consultation changes to open eyes, a wrinkled nose, a wrinkled mouth, and wrinkled eyebrows. In response to this change, the virtual face image overlaid on the actual face image changes from "open eyes, relaxed nose, closed mouth, and relaxed eyebrows" to "open eyes, wrinkled nose, wrinkled mouth, and wrinkled eyebrows." In this way, by overlaying a virtual face image on a real face image to protect the privacy of the video client, the therapist can analyze the changes in the video client's facial expressions during the therapy session based on the virtual face image. This allows the therapist to analyze the emotional changes of the video client during the therapy session, which helps the therapist to effectively organize the therapy process for the video client.

[0077] The above description is merely an embodiment of the present invention and does not limit the scope of patent protection. Any non-substantial changes or substitutions made by those skilled in the art based on the present invention will still fall within the scope of patent protection.

Claims

1. A method for training a virtual face selection model, characterized in that, Comprising the following steps: P. In the case of multiple online video psychological counseling, performing the following sample acquisition steps A, B, C, D, E, F on each online video psychological counseling to obtain multiple sets of learning samples: A. Acquire the psychological counseling video of the video visitor; B. Identify the actual face image of the video visitor in the psychological counseling video; C. Extract the facial features of the actual face image; D. Analyze the expression data of the video visitor in the psychological counseling video according to the facial features of the actual face image; E. Acquire the result selected by the video visitor among multiple different virtual face images; F. Take the expression data of the video visitor in the psychological counseling video as the input signal and the selected result as the output signal to form a set of learning samples for training the virtual face selection model; Q. Train the virtual face selection model using the multiple sets of learning samples until the virtual face selection model has the ability to analyze the virtual face image that the video visitor tends to select according to the expression data of the video visitor in the psychological counseling video. 2.The virtual face selection model training method of claim 1, wherein, The expression data of the video visitor in the psychological counseling video is specifically the expression data of the video visitor at the beginning of the psychological counseling video. 3.The virtual face selection model training method of claim 1, wherein, In step E, the selection is specifically one or the other.

4. An online video psychological counseling privacy protection method, comprising the following steps: a. Acquire the psychological counseling video of the video visitor; b. Identify the actual face image of the video visitor in the psychological counseling video; f. Output the virtual face image to the video visitor for confirmation; g. Use the virtual face image confirmed by the video visitor to cover the actual face image of the video visitor in the psychological counseling video; Characterized in that: Further comprising the following steps c, d, e performed after steps a, b and before steps f, g: c. Extract the facial features of the actual face image; d. Analyze the expression data of the video visitor in the psychological counseling video according to the facial features of the actual face image; e. Input the expression data of the video visitor in the psychological counseling video into the trained virtual face selection model obtained by performing the virtual face selection model training method of any one of claims 1 to 3, and analyze the virtual face image that the video visitor tends to select from the trained virtual face selection model; The step f specifically outputs the virtual face image that the video visitor tends to select to the video visitor for confirmation.

5. The online video psychological counseling privacy protection method of claim 4, characterized in that, In step f, the virtual face image is output to the video visitor in the following specific output manner: the virtual face image that the video visitor tends to select is output to the video visitor in the preferred order.

6. The online video psychological counseling privacy protection method of claim 4, characterized in that, The specific output manner of outputting the virtual face image to the video visitor in step f is: the virtual face image selected by the video visitor by default is overlaid on the actual face image of the video visitor in the psychological counseling video, and other virtual face images are output to the video visitor for selection.

7. The online video psychological counseling privacy protection method of claim 4, characterized in that, The method comprises the following step: h. changing the facial features of the virtual face image overlaid on the actual face image in response to the change of the facial features of the actual face image in the psychological counseling video.

8. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by a processor to implement the steps in the virtual face selection model training method according to any one of claims 1 to 3, and / or implement the steps in the online video psychological counseling privacy protection method according to any one of claims 4 to 7.

9. An online video counseling system comprising a server and a video display device for displaying a video of a counseling session of a video client, the video display device being communicatively connected to a video acquisition device for acquiring the video of the counseling session of the video client via the server, the server comprising a computer readable storage medium and a processor connected to each other, characterized in that, The computer readable storage medium is as claimed in claim 8.

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