Method, system and storage medium for automatic image selection and cutting

Abstract

The present invention discloses a method, system, and storage medium for automatically selecting and switching images. This method optimizes multi-source images and controls the matrix and public display window switching based on the optimization results, matrix optimization strategy, public display optimization strategy, and the corresponding relationship between image sources and large-screen windows during a specified time period, thereby achieving automatic selection and switching of multi-source images and measurement and control pages for projection. Therefore, the automatic image selection and switching control method of the present invention has simple logic, is easy to implement in software, and has strong versatility, making it suitable for automatic selection and switching of multi-source images for projection.

Description

Technical Field

[0001] The present invention belongs to the field of image transmission control, and in particular relates to an automatic image cutting method, system and storage medium. Background Art

[0002] After low-speed and high-definition (HD) images are forwarded by the corresponding forwarding servers within the monitoring system, the low-speed images are ultimately forwarded to the low-speed image decoding terminal, and the HD images are forwarded to the corresponding HD decoding terminal. Each target decoding terminal then outputs multiple analog video signals to the multi-channel HD subtitle system. The monitoring system then sends subtitle information to the subtitle machine, automatically superimposing information such as the station location and image camera position. The analog video signal then enters the video matrix and, after switching through the video matrix, enters the director switcher or the next-level video matrix before being projected onto the screen via the optical transceiver. Currently, the process of receiving and projecting multi-source images onto a large screen requires the coordinated efforts of multiple professionals, complex transmission links, and numerous manual operations. Furthermore, the subsequent tasks are characterized by high density, diverse types, and long cycles. Therefore, it is urgent to design an automatic image selection and cutting method. Summary of the Invention

[0003] In response to the above problems, the purpose of the present invention is to provide a method for automatic image selection and cutting control, which optimizes multi-source images and controls the matrix and public display large-screen window source switching according to the multi-source image optimization results, matrix optimization strategy, public display optimization strategy and the correspondence between the image source and the large-screen window in a specified time period, so as to realize automatic selection and cutting of multi-source images and measurement and control pages.

[0004] In order to achieve the above-mentioned object of the invention, the present invention provides the following technical solutions:

[0005] A method for automatically selecting and cutting an image comprises the following steps:

[0006] Loading pre-generated planning data, and analyzing the acquired operating parameters of each image terminal according to the multi-source image optimization strategy determined by the planning data, and determining the image optimization result from the output channels of each image terminal;

[0007] According to the matrix optimization strategy determined by the planning data, the mapping relationship between the matrix input port and the output port corresponding to each of the image optimization results is determined, and according to the mapping relationship, the image source corresponding to each of the image optimization results is transmitted to the designated public display encoder, and according to the image source projection strategy determined by the planning data, the image source output by each public display encoder is projected to the designated display area according to the specified time period.

[0008] According to a specific embodiment, in the automatic image selection and cutting control method of the present invention, the planning content is sorted out and the planning data is generated according to the timing of image selection and cutting related events of the specified target in the image switching plan and the planned image source projection data.

[0009] According to a specific embodiment, in the automatic image selection control method of the present invention, the multi-source image optimization strategy includes: delaying for a period of time after the start of station tracking and then detecting the packet frequency of the image terminal channel, and judging whether there is image output based on the packet frequency of the image terminal channel; and within a period of time before the end of station tracking, detecting that the image quality has deteriorated, and setting the image terminal channel to a non-image output state;

[0010] If the image terminal channel has image output, the image quality level is set according to the difference between the incremental number of packet loss within the specified time limit and the packet loss threshold, and according to the difference between the incremental number of disordered data within the specified time limit and the disordered data threshold, and the image source with the highest image quality level is selected as the image optimization result.

[0011] According to a specific embodiment, in the automatic image selection and cutting control method of the present invention, if none of the image terminal channels has image output, the measurement and control page of the measurement and control computer is used as the image source for output.

[0012] According to a specific embodiment, in the automatic image selection and cutting control method of the present invention, after the image sources are uniformly sorted according to the image quality level and the image camera position priority principle, the uncontrollable matrix output ports are excluded according to the matrix optimization strategy, and the mapping relationship between the matrix input port and the output port is determined according to the priority number consistency principle.

[0013] According to a specific embodiment, in the automatic image selection and switching control method of the present invention, the image source screen projection strategy includes: obtaining the connection relationship between the matrix output port and the public display encoder, the connection relationship between the measurement and control computer and the public display encoder, and the connection relationship between the IPTV client and the public display encoder; according to the connection relationship, obtaining the multi-source image camera position, measurement and control page, and IPTV client video signal currently input by the public display encoder, and performing same-source deduplication operations according to the public display encoder channel priority; obtaining the correspondence between the multi-source image, measurement and control page, IPTV client and display area during the task specified time period, combining it with the connection relationship with the public display encoder, and converting it into the corresponding relationship between the public display encoder and the display area; and when different types of image sources conflict in screen projection, screen projection selection and switching are performed according to the screen projection priority; when the same type of image sources conflict in screen projection, screen projection selection and switching are performed according to the display priority.

[0014] In another aspect of the specific implementation of the present invention, there is also provided an automatic image selection and cutting control system, which includes:

[0015] The planning data generation module is used to organize the planning content and generate planning data based on the timing of image selection-related events of the specified target in the image switching plan and the planned image source projection data;

[0016] a multi-source image optimization module for analyzing the acquired operating parameters of each image terminal according to the multi-source image optimization strategy determined by the planning data, and determining an image optimization result from the output channels of each image terminal;

[0017] a matrix optimization module, configured to determine, based on the matrix optimization strategy determined by the planning data, a mapping relationship between matrix input ports and output ports corresponding to each of the image optimization results, and transmit, according to the mapping relationship, the image source corresponding to each of the image optimization results to a designated public display encoder;

[0018] The image source projection module is used to project the image sources output by each public display encoder to a specified display area at a specified time period according to the image source projection strategy determined by the planning data.

[0019] According to a specific embodiment, in the automatic image selection and cutting control system of the present invention, the multi-source image optimization module is configured to delay for a period of time after the start of station tracking and then detect the packet frequency of the image terminal channel, and determine whether there is image output based on the packet frequency of the image terminal channel; and within a period of time before the end of station tracking, if image quality deterioration is detected, set the image terminal channel to a non-image output state;

[0020] If the image terminal channel has image output, the image quality level is set according to the difference between the incremental number of packet loss within the specified time limit and the packet loss threshold, and according to the difference between the incremental number of disordered data within the specified time limit and the disordered data threshold, and the image source with the highest image quality level is selected as the image optimization result.

[0021] According to a specific embodiment, in the automatic image selection and cutting control system of the present invention, the multi-source image optimization module is used to output the measurement and control page of the measurement and control computer as the image source when there is no image output in the image terminal channel.

[0022] According to a specific embodiment, in the automatic image selection and cutting control system of the present invention, the matrix optimization module is used to uniformly sort the image sources according to the image quality level and the image camera position priority principle, exclude uncontrollable matrix output ports according to the matrix optimization strategy, and determine the mapping relationship between the matrix input port and the output port according to the priority number consistency principle.

[0023] According to a specific embodiment, in the automatic image selection and cutting control system of the present invention, the image source screen projection module is used to obtain the connection relationship between the matrix output port and the public display encoder, the connection relationship between the measurement and control computer and the public display encoder, and the connection relationship between the IPTV client and the public display encoder, and according to the connection relationship, obtain the multi-source image camera position, measurement and control page, and IPTV client video signal currently input by the public display encoder, and perform same-source deduplication operations according to the public display encoder channel priority; obtain the correspondence between the multi-source image, measurement and control page, IPTV client and display area during the task specified time period, and convert it into the corresponding relationship between the public display encoder and the display area in combination with the connection relationship with the public display encoder; and when different types of image sources conflict in screen projection, screen projection selection and cutting are performed according to the screen projection priority; when the same type of image sources conflict in screen projection, screen projection selection and cutting are performed according to the display priority.

[0024] In another aspect of the specific implementation of the present invention, a computer-readable storage medium is provided, on which one or more programs are stored. When the one or more programs are executed by one or more processors, the image automatic cutting control method of the present invention is implemented.

[0025] Compared with the prior art, the present invention has the following beneficial effects:

[0026] The automatic image selection and switching control method of the present invention optimizes multi-source images and controls the matrix and public display large-screen window switching based on the multi-source image optimization results, matrix optimization strategy, public display optimization strategy, and the corresponding relationship between image sources and large-screen windows during a specified time period, thereby achieving automatic selection and switching of multi-source images and measurement and control pages for projection. Therefore, the automatic image selection and switching control method of the present invention has simple logic, is easy to implement in software, and has strong versatility, making it suitable for automatic selection and switching of multi-source images for projection. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 Schematic diagram of the architecture of the automatic image cropping control system of the present invention;

[0028] Figure 2 Generate flow charts for planning data;

[0029] Figure 3 Flowchart of device management for image selection;

[0030] Figure 4 Configure a flow chart for image device connections;

[0031] Figure 5 Configure the flow chart for the station delay strategy;

[0032] Figure 6 Configure a flow chart for the image terminal selection sequence strategy;

[0033] Figure 7 Configure a flow chart for the optimization strategy of image terminal operation parameters;

[0034] Figure 8 This is a flow chart for analyzing and processing the quality of high-definition and standard-definition images at the terminal;

[0035] Figure 9 Flowchart for selecting and processing high-definition and standard-definition images;

[0036] Figure 10 Flowchart for selecting optimal processing for low-speed images;

[0037] Figure 11 Configure a flow chart for the matrix selection strategy;

[0038] Figure 12 This is a flowchart for matrix automatic control processing;

[0039] Figure 13 Configure a flow chart for the screen window strategy;

[0040] Figure 14 Plan a flow chart for image source projection;

[0041] Figure 15 This is a flowchart for automatic control processing of screen projection. DETAILED DESCRIPTION

[0042] The present invention will be described in further detail below with reference to the accompanying drawings and specific embodiments. However, this should not be construed as limiting the scope of the present invention to the following embodiments, as all technologies implemented based on the present invention fall within the scope of the present invention.

[0043] like Figure 1 As shown, the image automatic cutting control system of the present invention includes:

[0044] The planning data generation module is used to organize the planning content and generate planning data based on the timing of image selection-related events of the specified target in the image switching plan and the planned image source projection data;

[0045] a multi-source image optimization module for analyzing the acquired operating parameters of each image terminal according to the multi-source image optimization strategy determined by the planning data, and determining an image optimization result from the output channels of each image terminal;

[0046] a matrix optimization module, configured to determine, based on the matrix optimization strategy determined by the planning data, a mapping relationship between matrix input ports and output ports corresponding to each of the image optimization results, and transmit, according to the mapping relationship, the image source corresponding to each of the image optimization results to a designated public display encoder;

[0047] The image source projection module is used to project the image sources output by each public display encoder to a specified display area at a specified time period according to the image source projection strategy determined by the planning data.

[0048] In the automatic image selection and cutting control system of the present invention, the multi-source image optimization module is used to delay for a period of time after the start of station tracking and then detect the packet frequency of the image terminal channel, and determine whether there is image output based on the packet frequency of the image terminal channel; and within a period of time before the end of station tracking, if the image quality deteriorates, set the image terminal channel to a non-image output state;

[0049] If the image terminal channel has image output, the image quality level is set according to the difference between the incremental number of packet loss within the specified time limit and the packet loss threshold, and according to the difference between the incremental number of disordered data within the specified time limit and the disordered data threshold, and the image source with the highest image quality level is selected as the image optimization result.

[0050] In the image automatic cutting control system of the present invention, the multi-source image optimization module is used to output the measurement and control page of the measurement and control computer as the image source when there is no image output in any image terminal channel.

[0051] In the automatic image selection and cutting control system of the present invention, the matrix optimization module is used to uniformly sort the image sources according to the image quality level and the image camera position priority principle, exclude uncontrollable matrix output ports according to the matrix optimization strategy, and determine the mapping relationship between the matrix input port and the output port according to the priority number consistency principle.

[0052] In the automatic image selection and cutting control system of the present invention, the image source screen projection module is used to obtain the connection relationship between the matrix output port and the public display encoder, the connection relationship between the measurement and control computer and the public display encoder, and the connection relationship between the IPTV client and the public display encoder, and according to the connection relationship, obtain the multi-source image camera position, measurement and control page, and IPTV client video signal currently input by the public display encoder, and perform same-source deduplication operations according to the public display encoder channel priority; obtain the correspondence between the multi-source image, measurement and control page, IPTV client and display area in the task specified time period, and convert it into the corresponding relationship between the public display encoder and the display area in combination with the connection relationship with the public display encoder; and when different types of image sources conflict in screen projection, screen projection selection and cutting are performed according to the screen projection priority; when the same type of image sources conflict in screen projection, screen projection selection and cutting are performed according to the display priority.

[0053] The present invention provides an automatic image selection and cutting control method, which includes the following steps:

[0054] Loading pre-generated planning data, and analyzing the acquired operating parameters of each image terminal according to the multi-source image optimization strategy determined by the planning data, and determining the image optimization result from the output channels of each image terminal;

[0055] According to the matrix optimization strategy determined by the planning data, the mapping relationship between the matrix input port and the output port corresponding to each of the image optimization results is determined, and according to the mapping relationship, the image source corresponding to each of the image optimization results is transmitted to the designated public display encoder, and according to the image source projection strategy determined by the planning data, the image source output by each public display encoder is projected to the designated display area according to the specified time period.

[0056] In the automatic image selection and cutting control method of the present invention, the planning content is sorted and the planning data is generated according to the timing of the image selection and cutting related events of the specified target in the image switching plan and the planned image source projection data. Specifically, Figure 2 As shown, according to the internally analyzed image switching plan such as the image switching plan and the instruction execution status, combined with various pre-configured image selection strategy information such as the image terminal selection order, image terminal parameter selection strategy, measurement station delay strategy, matrix selection strategy, large screen selection strategy, and image source projection window planning, planning data is generated.

[0057] Among them, the multi-source image optimization strategy includes image selection and cutting equipment management, image equipment connection configuration, direct channel configuration, measurement station delay strategy, image terminal optimization sequence, and image terminal parameter optimization strategy; specifically, the image selection and cutting equipment management process is as follows: Figure 3 As shown, it is mainly used to enter the target, camera information, image terminal information, matrix resource information, director station information, command room screen wall information, public display encoder information, etc.; the image device connection configuration process is as follows Figure 4 As shown in the figure, the corresponding connection relationship model is configured in this system according to the image device and its actual physical connection relationship. The through channel configuration function is used to maintain the through channel information of the first-level matrix output port and the public display encoder input port; the measurement station delay strategy configuration process is as follows Figure 5 As shown, the tracking start delay and tracking end advance of the station are pre-configured. For low-speed images, if the image quality deteriorates within a period of time after the station tracking starts or a short period before the tracking ends, the image downloaded from the station will no longer be used, and it is preferred to use the image downloaded from other stations. For high-definition and standard-definition images, the multi-source image selection module will combine the station tracking end time and advance amount, set the terminal channel status to no image output in advance, and notify the large screen to switch to the measurement and control page. The image terminal priority sequence strategy configuration process is as follows Figure 6As shown in the figure, the image terminal priority sequence strategy is used to configure the priority sequence of low-speed image terminals and the priority sequence of high-definition and standard-definition image terminals. Multi-source image optimization will perform terminal channel optimization analysis based on the terminal priority sequence and image quality analysis algorithm to select the terminal channel with the best output image. The image terminal parameter optimization strategy configuration process is as follows: Figure 7 As shown, configure the relevant parameter strategies for selecting terminal images belonging to different targets, including whether to use these parameters, thresholds, detection time limits, and other data. The multi-source image selection module will perform quality-assisted analysis based on these parameter strategies, analyzing the image quality of the terminal channels as the basis for selection. In addition, task management is used to maintain task information, including task code, task name, task time, and involved targets.

[0058] During implementation, when selecting multi-source images, an image data driven method (packet frequency) is adopted and combined with the image switching plan to comprehensively analyze the image status in the high-definition and standard-definition image terminal channels (whether the image is being downloaded). After the station tracking starts, the packet frequency is not detected immediately (during the delay time, the packet frequency in each channel is unstable and the image quality is poor), but the packet frequency is detected after a period of delay, and the presence or absence of image output is determined based on the packet frequency of the high-definition and standard-definition image terminal channel. Within a period of time before the end of the station tracking, it is considered that the image quality has deteriorated, and the image terminal channel is set to a state of no image output, and the measurement and control page is projected to a large screen window. For terminal channels with image output, image quality auxiliary analysis is performed and combined with the terminal optimization principle, a comprehensive analysis is performed to obtain the final optimization result. The optimization results of multi-source images include: image status, image position, image quality auxiliary analysis results, projection priority, etc. Among them, the high-definition and standard-definition image terminal quality analysis processing flow is as follows Figure 8 As shown in the figure, the HD / SD image selection process is as follows Figure 9 As shown in the figure, the low-speed image selection process is as follows Figure 10 shown.

[0059] The matrix optimization strategy configuration process is as follows: Figure 11 As shown, the matrix output port is configured to output the priority sequence number of the multi-source image. The matrix control module sorts the terminal channel output images according to the priority result of the multi-source image selection module, and controls the matrix to open the corresponding input and output channels according to the priority sequence number, and sends the image data to the designated public display encoder.

[0060] Image matrix automatic control processing flow is as follows Figure 12 As shown, specifically: according to the optimization results of multi-source image selection, including the terminal output image status, image camera position information, image priority, and the physical connection relationship between the image decoding terminal and the matrix, combined with the pre-configured matrix priority level strategy (that is, the priority level of the matrix output port), the correspondence between the matrix input and output ports is sorted out for the multi-source images according to the principle of consistent priority, and the mapping relationship of the matrix switching input and output channels is automatically controlled.

[0061] The screen window configuration process is as follows Figure 13 Configure the priority of the public display encoder channel. The large screen control module performs the same-source deduplication operation and selects the image source to be projected to the designated window area of ​​the designated hall according to the channel priority. The image source projection strategy configuration process is as follows: Figure 14 As shown, the time period information, image source priority and projection window are configured based on the task information.

[0062] The image source projection automatic control processing flow is as follows Figure 15 As shown, specifically: according to the results of matrix selection, the pre-configured task-specified camera projection priority and the priority projection order of different types of image sources (optical terminal projection image>IPTV client image>measurement and control computer), and the connection relationship between various image sources and public display encoder channels, the same-source image deduplication operation is performed, the image source content that should be displayed in the large-screen window in the specified time period is calculated, and the large screen is controlled to perform the window source switching operation.

[0063] In another aspect of the specific implementation of the present invention, a computer-readable storage medium is provided, on which one or more programs are stored. When the one or more programs are executed by one or more processors, the image automatic cutting control method of the present invention is implemented.

[0064] It should be understood that the system disclosed herein can be implemented in other ways. For example, the module division described above is merely a logical functional division; actual implementations may employ alternative divisions, such as combining or integrating multiple units or components into another system, or omitting or disabling certain features. Furthermore, the communication connections between modules can be through interfaces, indirect coupling or communication connections between devices or units, and can be electrical or otherwise.

[0065] In addition, the functional modules in various embodiments of the present invention may be integrated into a single processing unit, each module may exist physically separately, or two or more modules may be integrated into a single processing unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0066] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk, etc. Various media that can store program codes.

[0067] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for automatically selecting and cutting an image, characterized in that: The steps include: Loading pre-generated planning data, and analyzing the acquired operating parameters of each image terminal according to the multi-source image optimization strategy determined by the planning data, and determining the image optimization result from the output channels of each image terminal; Determining, according to the matrix optimization strategy determined by the planning data, a mapping relationship between matrix input ports and output ports corresponding to each of the image optimization results, and transmitting, according to the mapping relationship, the image source corresponding to each of the image optimization results to a designated public display encoder, and projecting, according to the image source projection strategy determined by the planning data, the image source output by each of the public display encoders to a designated display area at a designated time period; The multi-source image optimization strategy includes: delaying for a period of time after the start of station tracking and then detecting the packet frequency of the image terminal channel, and judging whether there is image output based on the packet frequency of the image terminal channel; and setting the image terminal channel to a no-image-output state if image quality deteriorates within a period of time before the end of station tracking; If the image terminal channel has image output, the image quality level is set based on the difference between the packet loss count increment and the packet loss count threshold within the specified time limit, and the difference between the disorder count increment and the disorder count threshold within the specified time limit. The image source with the highest image quality level is selected as the image optimization result. Among them, after the image sources are uniformly sorted according to the image quality level and the image camera position priority principle, the uncontrollable matrix output ports are excluded according to the matrix optimization strategy, and the mapping relationship between the matrix input ports and the output ports is determined according to the priority number consistency principle.

2. The method for automatically selecting and cutting an image according to claim 1, wherein: According to the timing of image selection-related events of the specified target in the image switching plan and the planned image source projection data, the planning content is sorted and the planning data is generated.

3. The method for automatically selecting and cutting an image according to claim 1, wherein: If there is no image output from any of the image terminal channels, the measurement and control page of the measurement and control computer will be used as the image source for output.

4. The method for automatically selecting and cutting an image according to claim 1, wherein: The image source projection strategy includes: obtaining the connection relationship between the matrix output port and the public display encoder, the connection relationship between the measurement and control computer and the public display encoder, and the connection relationship between the IPTV client and the public display encoder; according to the connection relationship, obtaining the multi-source image camera position, measurement and control page, and IPTV client video signal currently input by the public display encoder, and performing same-source deduplication operations according to the public display encoder channel priority; obtaining the correspondence between the multi-source images, measurement and control pages, IPTV clients and display areas during the task specified period, and converting it into the corresponding relationship between the public display encoder and the display area in combination with the connection relationship with the public display encoder; and when different types of image sources conflict in projection, screen selection and switching are performed according to the projection priority; when the same type of image sources conflict in projection, screen selection and switching are performed according to the display priority.

5. An automatic image selection and cutting control system, characterized in that: include: The planning data generation module is used to organize the planning content and generate planning data based on the timing of image selection-related events of the specified target in the image switching plan and the planned image source projection data; a multi-source image optimization module for analyzing the acquired operating parameters of each image terminal according to the multi-source image optimization strategy determined by the planning data, and determining an image optimization result from the output channels of each image terminal; a matrix optimization module, configured to determine, based on the matrix optimization strategy determined by the planning data, a mapping relationship between matrix input ports and output ports corresponding to each of the image optimization results, and transmit, according to the mapping relationship, the image source corresponding to each of the image optimization results to a designated public display encoder; An image source projection module is configured to project the image sources output by each public display encoder to a designated display area at a designated time period according to the image source projection strategy determined by the planning data; The multi-source image optimization module is configured to delay detecting the packet frequency of the image terminal channel for a period of time after the start of station tracking, and determine whether there is image output based on the packet frequency of the image terminal channel; and to set the image terminal channel to a no-image-output state if image quality deteriorates within a period of time before the end of station tracking; If the image terminal channel has image output, the image quality level is set based on the difference between the packet loss count increment and the packet loss count threshold within the specified time limit, and the difference between the disorder count increment and the disorder count threshold within the specified time limit. The image source with the highest image quality level is selected as the image optimization result. The matrix optimization module is used to uniformly sort the image sources according to the image quality level and the image camera position priority principle, exclude uncontrollable matrix output ports according to the matrix optimization strategy, and determine the mapping relationship between the matrix input ports and the output ports according to the priority sequence number consistency principle.

6. The automatic image cropping control system according to claim 5, characterized in that: The multi-source image optimization module is used to output the measurement and control page of the measurement and control computer as the image source when there is no image output in any image terminal channel.

7. The automatic image cropping control system according to claim 6, characterized in that: The image source screen projection module is used to obtain the connection relationship between the matrix output port and the public display encoder, the connection relationship between the measurement and control computer and the public display encoder, and the connection relationship between the IPTV client and the public display encoder, and according to the connection relationship, obtain the multi-source image camera position, measurement and control page, and IPTV client video signal currently input by the public display encoder, and perform same-source deduplication operations according to the public display encoder channel priority; obtain the correspondence between the multi-source images, measurement and control pages, IPTV clients and display areas during the task specified period, and convert it into the corresponding relationship between the public display encoder and the display area in combination with the connection relationship with the public display encoder; and when different types of image sources conflict in screen projection, screen projection selection and switching are performed according to the screen projection priority; when the same type of image sources conflict in screen projection, screen projection selection and switching are performed according to the display priority.

8. A computer-readable storage medium having one or more programs stored thereon, characterized in that: When the one or more programs are executed by one or more processors, the image automatic cutting control method according to any one of claims 1 to 4 is implemented.

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