Image processing method and device for video conference

Abstract

The invention provides an image processing method and device for a video conference. In a method, one or more background regions in a shared picture are identified. It is determined whether a size of the one or more background regions conforms to a size of the figure representative image. And presenting the character representative image in a background area conforming to the size of the character representative image. Therefore, the complete brief report content can be seen.

Description

Technical Field

[0001] The present invention relates to an image processing technology, and in particular, also relates to an image processing method and device for video conferencing. Background Art

[0002] In the interface of video conferencing software, the real-time image of the speaker is usually displayed in a certain area of ​​the screen, so that the audience can see the speaker's expression and / or gestures, and even make the speech more interesting and lively. However, since the position and size of the area where the real-time image is displayed are fixed, the image may block the content of the presentation, making it difficult for the audience to read. Summary of the invention

[0003] The present invention is directed to an image processing method and device for video conferencing, which can display real-time images in a suitable background area.

[0004] According to an embodiment of the present invention, an image processing method for video conferencing includes (but is not limited to) the following steps: identifying one or more background areas in a shared screen; determining whether the size of one or more background areas matches the size of a character representative image; and presenting a character representative image in a background area that matches the size of the character representative image.

[0005] According to an embodiment of the present invention, an image processing device for video conferencing includes (but is not limited to) a memory and a processor. The memory is used to store program code. The processor is coupled to the memory. The processor loads the program code and is configured to: identify one or more background areas in a shared screen; determine whether the size of the one or more background areas meets the size of a character representative image; and present a character representative image in a background area that meets the size of the character representative image.

[0006] Based on the above, the image processing method and device for video conferencing of the embodiment of the present invention can analyze the position and size of the background area in the shared screen, and present the character representative image on the background area of ​​the appropriate size. In this way, the character representative image can be prevented from obscuring the presentation content, and the audience can smoothly see the complete presentation content information. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] The accompanying drawings are included to provide a further understanding of the present invention and are incorporated in and constitute a part of this specification. The drawings illustrate embodiments of the present invention and together with the description serve to explain the principles of the present invention.

[0008] Figure 1 is a schematic diagram of a conference system according to an embodiment of the present invention;

[0009] Figure 2is a component block diagram of an image processing apparatus according to an embodiment of the present invention;

[0010] Figure 3 is a flowchart of an image processing method according to an embodiment of the present invention;

[0011] Figure 4 is a schematic diagram of a sharing screen and a background area according to an embodiment of the present invention;

[0012] Figure 5 is a flow chart illustrating size comparison according to an embodiment of the present invention;

[0013] Figure 6 is a schematic diagram of size comparison according to an embodiment of the present invention;

[0014] Figure 7 is a schematic diagram for explaining changing the shape of an image according to an embodiment of the present invention;

[0015] Figure 8 is a schematic diagram for explaining a background-removed character image according to an embodiment of the present invention;

[0016] Fig. 9 is a flow chart illustrating an application scenario according to an embodiment of the present invention;

[0017] Fig.10 is a flow chart of emotion-based background visual adjustment according to an embodiment of the present invention;

[0018] Fig.11 is a flow chart illustrating another application scenario according to an embodiment of the present invention.

[0019] Description of Figure Numbers

[0020] 1: Conference system;

[0021] 10, 20: conference terminal;

[0022] 30: server;

[0023] 100: image processing device;

[0024] 110: memory;

[0025] 120: communication transceiver;

[0026] 130: processor;

[0027] S310-S330, S510-S530, S901-S910, S1010-S1020, S1101-S1107: steps;

[0028] W1, W2, W3: width;

[0029] BA1~BA6: background area;

[0030] PS1~PS4: Share screen;

[0031] CA1~CA4: content area;

[0032] PP~PP2: Character representative images;

[0033] PP3: Remove the background of the human image. DETAILED DESCRIPTION

[0034] Reference will now be made in detail to exemplary embodiments of the present invention, examples of which are illustrated in the accompanying drawings. Whenever possible, the same reference numerals are used in the drawings and the description to refer to the same or like parts.

[0035] Figure 1 is a schematic diagram of a conference system 1 according to an embodiment of the present invention. Figure 1 The conference system 1 includes (but is not limited to) conference terminals 10 , 20 , and a server 30 .

[0036] The conference terminals 10 and 20 may be mobile phones, Internet phones, tablet computers, desktop computers, laptop computers, smart assistant devices, wearable devices, vehicle-mounted systems, smart home appliances or other devices.

[0037] The server 30 may be any type of server, a cloud platform, a personal computer, or a computer workstation. The server 30 may be directly or indirectly connected to the conference terminals 10 and 20 via a network (eg, the Internet, a local area network, or a private network).

[0038] In one application scenario, the conference terminals 10 and 20 execute a video conferencing program (e.g., Teams, Zoom, Webex, or Meet). The conference devices 10 and 20 can receive sound waves through a microphone (e.g., a dynamic, condenser, or electret condenser microphone) and convert them into sound signals, obtain real-time images through an image capture device (e.g., a camera, a video recorder, or a webcam), obtain shared images (e.g., presentations, documents, videos, or pictures) through a processor, and / or play sound signals through a speaker. Sound signals and real-time images. The above-mentioned sound signals, real-time images, and / or shared images can be transmitted to another conference device 10 or 20 via a network through a server 30.

[0039] Figure 2 is a block diagram of components of an image processing apparatus 100 according to an embodiment of the present invention. Figure 2 , the image processing apparatus 100 may be Figure 1conference terminals 10, 20, and / or server 30.

[0040] The image processing device 100 includes (but is not limited to) a memory 110 , a communication transceiver 120 , and a processor 130 .

[0041] The memory 110 may be any type of fixed or removable random access memory (RAM), read only memory (ROM), flash memory, hard disk drive (HDD), solid-state drive (SSD), or similar components. In one embodiment, the memory 110 is used to store program code, software modules, configurations, data (e.g., the configuration of a screen, image, or image area), or files.

[0042] The communication transceiver 120 may be a transceiver supporting a wired network such as Ethernet, an optical fiber network, or a cable (which may include (but not limited to) connection interfaces, signal converters, communication protocol processing chips, and other components), or a transceiver supporting a wireless network such as Wi-Fi, fourth generation (4G), fifth generation (5G), or even later generation mobile networks (which may include (but not limited to) antennas, digital to analog / analog to digital converters, communication protocol processing chips, and other components). In one embodiment, the communication transceiver 120 is used to transmit or receive data.

[0043] The processor 130 is coupled to the memory 110 and the communication transceiver 120. The processor 130 may be a central processing unit (CPU), a graphics processing unit (GPU), or other programmable general-purpose or special-purpose microprocessor (Microprocessor), a digital signal processor (Digital Signal Processor, DSP), a programmable controller, a field programmable gate array (Field Programmable Gate Array, FPGA), an application-specific integrated circuit (Application-Specific Integrated Circuit, ASIC) or other similar components or a combination of the above components. In one embodiment, the processor 130 is used to execute all or part of the operations of the image processing device 100, and can load and execute one or more software modules, files and / or data stored in the memory 110.

[0044] Hereinafter, the method described in the embodiment of the present invention will be described in conjunction with various devices, components and modules in the conference system 1. Each process of the method can be adjusted according to the implementation situation, and is not limited thereto.

[0045] Figure 3 is a flowchart of an image processing method according to an embodiment of the present invention. Figure 3 , the processor 130 identifies the background area in the shared screen (step S310). Specifically, the shared screen can be a presentation screen, a file screen, a movie screen, a picture screen, a desktop screen or a window screen. In one embodiment, the video conferencing program provides a screen sharing function. The screen sharing function can (in real time) obtain / record the screen (i.e., the shared screen) of the presentation, file, movie, picture, desktop or window (i.e., the object to be shared) corresponding to the selection operation (e.g., a click operation received by a mouse, keyboard or touch panel for the object to be shared), and transmit it to another conference terminal 10, 20 (via the server 30).

[0046] In one application scenario, for the speaker's terminal device 10, 20, the processor 130 obtains / records the shared screen by itself (i.e., the screen to be shared is the speaker's own screen). In another application scenario, for the server 30 or the audience's terminal device 10, 20, the processor 130 can obtain the shared screen obtained / recorded by another conference terminal 10, 20 (i.e., the speaker's device).

[0047] In one embodiment, the shared screen includes one or more content areas and / or one or more background areas. The content area may be the area where the text, symbol, pattern, picture and / or object image in the shared screen is located. The background area may be other areas other than the content area in the shared screen. For example, a blank area (whose color is not limited to white), an area of ​​a background picture, or an area of ​​a background area.

[0048] In one embodiment, the processor 130 may identify the background region based on object detection technology. For example, the processor 130 may apply a machine learning-based algorithm (e.g., YOLO (You only look once), Region Based Convolutional Neural Networks (R-CNN), or Fast R-CNN (Fast CNN)) or a feature matching-based algorithm (e.g., Histogram of Oriented Gradient (HOG), Scale-Invariant Feature Transform (SIFT), Harr, or Speeded Up Robust Features (SURF) feature matching) to achieve object detection.

[0049] The machine learning algorithm can establish the association between the input sample and the output result, and infer the output result corresponding to the image to be identified. The image to be identified is, for example, an image of one or more frames of a shared screen. The output result is, for example, the position, shape and / or size of the background area. The feature matching algorithm can pre-store the features of one or more shapes and / or types of background areas, and use them for subsequent matching / comparison determination.

[0050] For the machine learning model, the processor 130 can use the data set to train, test and / or verify the model. The images in the data set have marked objects and categories of objects. For example, the marking of the background area. Taking YOLO as an example, the processor 130 uses the MSCOCO (Microsoft Common Objects in Context) data set to train the fifth-generation YOLO model and identify the background area in the shared screen. However, the embodiment of the present invention does not limit the source or format of the data set.

[0051] In one embodiment, the processor 130 may define / set the size and / or shape of the background area. For example, the size has a specific length and width or a ratio relative to the area of ​​the shared screen. The shape may be a rectangle, a circle or other geometric shape, or an irregular or figurative shape.

[0052] For example, Figure 4 is a schematic diagram of a sharing screen PS1 and background areas BA1-BA6 according to an embodiment of the present invention. Figure 4, the shared screen PS1 has a width W1. The processor 130 can limit the identification of rectangular background areas BA1-BA6 in the areas of width W2 and W3 on the left and right sides of the shared screen PS1. The widths W2 and W3 are, for example, 1 / 6 of the width W1. However, the shape and size of the area corresponding to the widths W2 and W3 can still be changed according to needs.

[0053] The processor 130 can organize the background areas BA1~BA6 into a background area list according to their positions in the sharing screen PS1. For example, there may be a larger background area in the lower right corner of the screen. As shown in the figure, the content area CA1 is interspersed with the background areas BA3~BA6 on the left side of the screen, and the size of the background areas BA1~BA2 is larger than the background areas BA3~BA6. The sorting in the background area list is, for example, right priority and bottom priority. Therefore, the background areas in the background area list are BA1, BA2, BA3, BA4, BA5, BA6 in order. That is, from bottom right to top right, and then from bottom left to top left. However, the arrangement rules of the background area list may have other changes, and are not limited to the above examples. For example, the arrangement rule may be sorting according to the size of the background area.

[0054] Please refer to Figure 3 , the processor 130 determines whether the size of the background area meets the size of the character representative image (step S320). Specifically, the character representative image can be a real-time image, a virtual character image, a photo, or an animation taken by an image capture device. In an application scenario, the character representative image is an image representing a speaker (e.g., a member providing a sharing screen). The processor 130 determines whether the size of the background area can accommodate the character representative image.

[0055] Figure 5 is a flow chart illustrating the size comparison according to an embodiment of the present invention. Figure 5 , the processor 130 may determine whether the size of one or more background regions is greater than or equal to the size of the character representative image (step S510). For example, the background region and the character representative image are both rectangular, so their length and width may be compared. For another example, if the character representative image is circular or elliptical, its vertical length and horizontal length may be compared.

[0056] by Figure 4 For example, the size of the background area BA1 is larger than the size of the person representative image PP. Figure 6 is a schematic diagram of size comparison according to an embodiment of the present invention. Figure 6 The shared image PS2 includes background areas BA1 and BA2 and a content area CA2. The size of the background area BA2 is larger than the size of the person representative image PP.

[0057] In one embodiment, the processor 130 may compare the background area and the character representative image in sequence according to the arrangement order of the background area list.

[0058] When the size of the background area is greater than or equal to (or not less than) the size of the character representative image, the processor 130 may determine that the size of the background area matches the character representative image (step S520). For example, the background area and the character representative image are both rectangular, and the length and width of the background area are respectively greater than the length and width of the character representative image.

[0059] On the other hand, when the size of the background area is smaller than the size of the character representative image, the processor 130 may determine whether the size of the background area meets the reduced size of the character representative image (step S530). The reduced size refers to a size that is smaller than the size in step S510 or a size that is smaller than the initial size. When the size of all background areas is smaller than the size of the character representative image, it means that all background areas cannot accommodate the current size of the character representative image. The processor 130 reduces the size of the character representative image according to a preset ratio (for example, 3%, 5% or 10%). That is, the reduced size is smaller than the previous size by a preset ratio. However, the reduction range can still be adjusted according to actual needs. Next, the processor 130 may determine whether the size of one or more background areas is greater than or equal to the reduced size of the character representative image.

[0060] In one embodiment, whenever the size of all background regions is smaller than the reduced size of the character representative image, the processor 130 will continue to reduce the size of the character representative image and determine whether the size of the background region meets the reduced size of the character representative image until the reduced size is smaller than or equal to the size lower limit. The size lower limit is, for example, half of the initial size, but is not limited thereto.

[0061] In one embodiment, the processor 130 may change the shape of the character representative image according to the position and / or shape of the content / background area. Figure 7 is a schematic diagram illustrating changing the shape of an image according to an embodiment of the present invention. Figure 7 The shared image PS3 includes a background area BA3 and a content area CA3. The background area BA3 is a square. The processor 130 can cut the rectangular character representative image PP2 into a circular shape. The size of the background area BA3 is larger than the size of the character representative image PP2.

[0062] In one embodiment, when the size of the background area is smaller than the reduced size or the lower size limit of the character representative image, the processor 130 may remove the background of the character representative image to generate a background-removed character image. For image background removal, a sampling method (Sampling-based) or a propagation method (Propagation-based) may be used to calculate the color and transparency of the foreground, and the foreground is obtained from the image. The foreground is, for example, an image of only the character. Since the background is removed, the size of the background-removed character image is smaller than the size of the character representative image. For example, Figure 8 is a schematic diagram illustrating a background-removed person image PP3 according to an embodiment of the present invention. Figure 8 The shared image PS4 includes a background area BA3 and a content area CA4. The background-removed person image PP3 can be accommodated in the relatively small background area BA3.

[0063] Please refer to Figure 3 , the processor 130 presents the character representative image in a background area that matches the size of the character representative image (step S330). Specifically, the processor 130 may select one or more background areas whose size is greater than or equal to the (reduced) size of the character representative image / character image with background removed, and present the character representative image / character image with background removed in the selected background area. At this time, the character representative image / character image with background removed covers the selected background area. Figure 4 For example, the person representative image PP is presented in the background area BA1. Figure 6 For example, the person representative image PP is presented in the background area BA2. Figure 7 For example, a circular character representative image PP2 is presented in the background area BA3. The processor 130 can display the sharing screen and the character representative image simultaneously through a display (eg, LCD, LED, Mini LED or OLED).

[0064] In one embodiment, if the processor 130 determines the size according to the arrangement order of the background area list, the processor 130 may select the background area that first meets the (reduced) size of the person representative image / the background-removed person image. Figure 4 For example, the background area BA1 is located at the first position in the background area list, and the background area BA2 is located at the second position in the background area list. The processor 130 first compares the size of the background area BA1 with the size of the person representative image PP. If the size of the background area BA1 is larger than the size of the person representative image PP, the person representative image PP is presented in the background area BA1. In addition, for the same sharing screen PS1, the processor 130 can ignore or prohibit the size comparison of other background areas BA2~BA6 with the person representative image PP.

[0065] In some embodiments, the character representative image / character image with background removed is not limited to one. For example, the character representative images / character images with background removed of other participants in the video conference. At this time, a corresponding number or only a part of the background areas can be selected for presentation of other character representative images / character images with background removed.

[0066] In one embodiment, the processor 130 may use image synthesis technology to embed the character representative image / background-removed character image into the shared screen. For example, the color parameters (e.g., red, green, and blue values) of some or all pixels in the selected background area in the shared screen are replaced with the color parameters of the character representative image / background-removed character image. In some embodiments, the processor 130 may adjust the transparency of the character representative image / background-removed character image and / or the selected background area. For example, the transparency of the character representative image is 90%.

[0067] In one embodiment, the processor 130 may add a window on the selected background area and present the character representative image in the window.

[0068] In one embodiment, when the size of the background area is smaller than the reduced size or the lower size limit of the character representative image (and a background-removed character image is generated), the processor 130 may cover the content area in the shared screen with the character representative image / background-removed character image. Since all background areas cannot accommodate a complete (reduced) character representative image / background-removed character image, in addition to the selected background area, the character representative image / background-removed character image will also cover part of the content area adjacent to the selected background area. The selected background area may be the one with the largest size among all identified background areas, but is not limited thereto.

[0069] In addition, the processor 130 may limit the coverage ratio of the character representative image / character image with background removed to the content area. The coverage ratio is, for example, 3% or 5% of the area of ​​the content area, but is not limited thereto. In order to meet the coverage ratio, the processor 130 may crop the character representative image / character image with background removed. For example, the image below the head is removed.

[0070] Fig. 9 is a flowchart illustrating an application scenario according to an embodiment of the present invention. Fig. 9 When the presentation begins to be played (i.e., the screen is shared) or the page is switched (step S901), the processor 130 detects the speaker's operation of sharing a real-time image (i.e., a person representative image), finds the positions of all background rectangular areas (i.e., rectangular background areas) in the background of the presentation screen through a machine learning-based object detection model (the search order is, for example, from the lower right to the upper left), and determines a list of background rectangular areas accordingly (step S902). Figure 4For example, in the area with widths W2 and W3 on the left and right sides, background areas BA1, BA2, BA3, BA4, BA5, and BA6 are found in sequence. The list is arranged in the order of search. The processor 130 searches the list for a background rectangular area that can accommodate the person representative image (step S903). Figure 4 For example, if the size of the background area BA1 matches the size of the person representative image, the person representative image can be presented in the background area BA1 (step S904 ).

[0071] If there is no background area in the list that matches the current size of the character representative image, the processor 130 reduces the character representative image (step S905). For example, whenever there is no match, the size is reduced by 5% each time. Next, the processor 130 searches for a reduced-size background rectangular area that can accommodate the character representative image from the list (step S906). If there is a background area that matches the reduced size, the reduced-size character representative image is displayed in this background rectangular area (step S907).

[0072] If there is no reduced-size background area in the list that matches the character representative image, the processor 130 determines whether the reduced size is less than the size lower limit (step S908). For example, the size lower limit is half of the initial size. If the reduced size is not less than the size lower limit, the character representative image can be further reduced (step S905).

[0073] If the reduced size is less than the lower size limit, the processor 130 performs background removal processing on the person representative image (step S909) to generate a background-removed person image. In addition, the processor 130 finds the background area closest to the background-removed person image from the list and displays the background-removed person image in the background area. Figure 8 As shown, the background-removed person image PP3 or the person representative image is displayed in the largest background rectangular area in the list (step S910).

[0074] Fig.10 is a flowchart of emotion-based background visual adjustment according to an embodiment of the present invention. Fig.10 , the processor 130 may recognize the emotion (step S1010). For example, the microphone receives the voice of the speaker, and the processor 130 analyzes the voice characteristics of the voice signal, such as the pitch and volume, to recognize the emotion of the speaker. For another example, the image capture device captures the speaker, and the processor 130 analyzes the image characteristics to recognize the emotion of the speaker.

[0075] In one embodiment, for the machine learning-based speech recognition model, the processor 130 may use a data set to train, test and / or verify the model. For example, the training data set includes two English data sets SAVEE (Surrey Audio-Visual Expressed Emotion), RAVDESS (Ryerson Audio-Visual Database of Emotional Speech and Song) and a Chinese data set CASIA (Chinese Academy of Sciences), and these data sets include emotions such as happiness, anger, excitement, fear, sadness, surprise, and neutral. The speech recognition model uses a simple hierarchical convolutional neural network (Sample-Level CNNs) and trains the speech recognition model based on speech features such as Zero-Crossing Rate (ZCR), volume, Mel Frequency Cepstral Coefficient (MFCC), pitch, and Teager Energy Operator (TEO) to recognize various emotions.

[0076] Please refer to Fig.10 , the processor 130 may present a visual representation corresponding to the emotion in the background area of ​​the shared screen (step S1020). The visual representation may be a color, a pattern, a text, or an animation. For example, the processor 130 removes the background of the character representative image and presents the corresponding visual representation in the removed background. The background-removed character image and the visual representation corresponding to the emotion are simultaneously presented in the selected background area. For another example, an emoticon is displayed in the selected background area.

[0077] Fig.11 is a flowchart illustrating another application scenario according to an embodiment of the present invention. Fig.11 , the processor 130 can identify the emotion of the speaker through the speech recognition model (step S1101). If the emotion is surprise or excitement (step S1102), the background other than the background-removed person image in the selected background area is turned red (step S1103). If the emotion is calm or neutral (step S1104), the background other than the background-removed person image in the selected background area is turned green (step S1105). If the emotion is happiness (step S1106), the background other than the background-removed person image in the selected background area is turned pink (step S1107).

[0078] In summary, in the image processing method for video conferencing of the embodiment of the present invention, the background area in the shared screen can be identified, and the character representative image can be presented in a background area of ​​a suitable size. In addition, the embodiment of the present invention can reduce the character representative image, remove the background of the character representative image / change the transparency, or change the shape of the background area as needed. In this way, it is possible to avoid / reduce the character representative image from obscuring the content area in the shared screen, so that the audience can smoothly see the complete content of the briefing. On the other hand, the embodiment of the present invention can determine the speaker's emotions based on the tone of his or her speech, and present the corresponding visual expression accordingly, so that the audience can be aware of the speaker's emotional changes.

[0079] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. An image processing method for video conferencing, comprising: Identify at least one background area in the shared image; Determining whether the size of the background area matches the size of the character representative image; as well as The character representative image is presented in the background area that matches the size of the character representative image.

2. The image processing method for video conferencing according to claim 1, wherein the step of determining whether the size of the background area matches the size of the character representative image comprises: Determine whether the size of the background area is greater than or equal to the size of the character representative image; In a case where the size of the background area is greater than or equal to the size of the character representative image, determining that the size of the background area matches the size of the character representative image; as well as In the case where the size of the background area is smaller than the size of the character representative image, it is determined whether the size of the background area conforms to the reduced size of the character representative image.

3. The image processing method for video conferencing according to claim 2, wherein the step of determining whether the size of the background area conforms to the reduced size of the character representative image comprises: When the size of the background area is smaller than the reduced size of the character representative image, removing the background of the character representative image to generate a background-removed character image; as well as The background-removed character image is presented in the background area.

4. The image processing method for video conferencing according to claim 3, wherein the step of presenting the background-removed person image in the background area comprises: Covering the content area in the shared screen with the background-removed character image; as well as The coverage ratio of the background-removed character image to the content area is limited.

5. The image processing method for video conferencing according to claim 1, further comprising: Identify emotions; as well as At least one background area in the sharing screen presents a visual expression corresponding to the emotion.

6. An image processing device for video conferencing, characterized in that: include: A memory for storing program codes; as well as A processor is coupled to the memory, loaded with the program code and configured to: Identifying at least one background area in the shared image; Determining whether the size of the background area matches the size of the character representative image; and The character representative image is presented in the background area that matches the size of the character representative image.

7. The image processing device for video conferencing according to claim 6, wherein the processor is further configured to: Determine whether the size of the background area is greater than or equal to the size of the character representative image; In a case where the size of the background area is greater than or equal to the size of the character representative image, determining that the size of the background area matches the size of the character representative image; and In the case where the size of the background area is smaller than the size of the character representative image, it is determined whether the size of the background area conforms to the reduced size of the character representative image.

8. The image processing device for video conferencing according to claim 7, wherein the processor is further configured to: When the size of the background area is smaller than the reduced size of the character representative image, removing the background of the character representative image to generate a background-removed character image; and The background-removed character image is presented in the background area.

9. The image processing device for video conferencing according to claim 8, wherein the processor is further configured to: Covering the content area in the shared screen with the background-removed character image; and The coverage ratio of the background-removed character image to the content area is limited.

10. The image processing device for video conferencing according to claim 6, wherein the processor is further configured to: Recognize emotions; and At least one background area in the sharing screen presents a visual expression corresponding to the emotion.

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