Internet Live Streaming Room Violation Confirmation Strategy Operating System

Abstract

This invention relates to an operating system for confirming violations in internet live streaming rooms. The system includes: a real-time recording mechanism for recording the live stream scene of a live streaming room with a history of reports of violent tendencies, obtaining separate recorded images for each recording moment; and a confirmation processing mechanism for confirming the live streaming room with a history of reports of violent tendencies as a violent broadcasting live streaming room when bloodstains are found in the interpolated cubic images. This system can confirm a live streaming room with a history of reports of violent tendencies as a violent broadcasting live streaming room when bloodstains are found in the live stream image; otherwise, it will not confirm the live streaming room as a violent broadcasting live streaming room but will still retain it as such, thereby improving the accuracy and efficiency of confirming violent broadcasting live streaming rooms.

Description

Technical Field

[0001] This invention relates to the field of live streaming management, and more specifically, to an operating system for confirming violations in internet live streaming rooms. Background Technology

[0002] High-quality live streaming content and effective streamer management enhance user experience. Through live streaming operations, precise content delivery and interaction can be tailored to user needs, satisfying their viewing and social needs and increasing user satisfaction with the platform. Effective live streaming operations can reduce platform operating costs. Optimizing streamer management and content planning reduces ineffective investment, improves the platform's return on investment, and lowers operating costs. Good live streaming operations can enhance user stickiness. Precise content delivery and interaction can strengthen user engagement, increase user participation and loyalty, and lay a solid foundation for the platform's long-term development.

[0003] However, in order to attract attention, increase viewership of their live streams, and seek greater economic benefits, some live streamers often skirt the edges of live stream content management or quietly exceed its scope, engaging in violent live streams or even creating live stream videos of beatings and bleeding. This not only causes physical harm to the participants in the live stream but also has a negative impact on the overall atmosphere of the live stream. Summary of the Invention

[0004] To address the technical problems in related fields, this invention provides an operating system for confirming violations in internet live streaming rooms. This system can identify a live streaming room with a history of reports of violent tendencies as a violent broadcasting live streaming room if bloodstains are found in the live streaming image. Otherwise, the system will not identify the live streaming room with a history of reports of violent tendencies as a violent broadcasting live streaming room but will still retain it as such, thereby improving the accuracy and efficiency of confirming violent broadcasting live streaming rooms.

[0005] According to the present invention, an operating system for confirming violations in internet live streaming rooms is provided, the system comprising:

[0006] A real-time recording agency is used to record live scenes in live rooms with reports of violent tendencies, in order to obtain each recording image corresponding to each recording moment, wherein each recording image corresponding to each recording moment includes the current recording image corresponding to the current recording moment.

[0007] A signal filtering device, connected to the real-time recording mechanism, is used to perform FRANGI filtering on the received current recording image to obtain and output the corresponding real-time filtered image;

[0008] An affine transformation device, connected to the signal filtering device, is used to perform affine transformation processing on the received real-time filtered image to obtain and output the corresponding affine transformation image.

[0009] A cubic interpolation device, connected to the affine transformation device, is used to perform cubic polynomial interpolation processing on the received affine transformation image to obtain and output the corresponding cubic interpolated image.

[0010] A signal identification mechanism, connected to the cubic interpolation device, is used to perform multiple training operations on the feedforward neural network to obtain a trained feedforward neural network, which is then output as an AI analysis model. The total number of pixel rows, the total number of pixel columns, and the grayscale values ​​corresponding to each pixel in the cubic interpolation image are input in parallel into the AI ​​analysis model to run the AI ​​analysis model. The model obtains the type of moving object in the cubic interpolation image output by the AI ​​analysis model to determine whether there is a bloodstain object in the cubic interpolation image. The total number of training operations performed on the feedforward neural network is proportional to the total number of pixels in the cubic interpolation image.

[0011] The confirmation processing mechanism, connected to the signal identification mechanism, is used to confirm the live broadcast room with a violent tendencies report record as a violent broadcast room when it is determined that there is a bloodstain object in the cubic interpolation image, and is also used to not confirm the live broadcast room with a violent tendencies report record as a violent broadcast room and still retain it as a live broadcast room with a violent tendencies report record when it is determined that there is no bloodstain object in the cubic interpolation image.

[0012] The operating system for the internet live streaming violation confirmation strategy of this invention is intelligently designed and stably operated. Because it can identify a live streaming room with a history of violent tendencies as a violent broadcasting live streaming room if bloodstains are found in the live streaming image, and otherwise retain the status of a live streaming room with a history of violent tendencies, the accuracy and efficiency of confirming violent broadcasting live streaming rooms are improved. Detailed Implementation

[0013] First embodiment

[0014] According to the primary embodiment of the present invention, the Internet live streaming room violation confirmation strategy operating system includes:

[0015] A real-time recording agency is used to record live scenes in live rooms with reports of violent tendencies, in order to obtain each recording image corresponding to each recording moment, wherein each recording image corresponding to each recording moment includes the current recording image corresponding to the current recording moment.

[0016] For example, a real-time recording device is used to record the live scene of a live room with a record of violent tendencies, so as to obtain each recording image corresponding to each recording moment. The recording images corresponding to each recording moment include the current recording image corresponding to the current recording moment. The real-time recording device includes an imaging lens and an imaging sensor.

[0017] A signal filtering device, connected to the real-time recording mechanism, is used to perform FRANGI filtering on the received current recording image to obtain and output the corresponding real-time filtered image;

[0018] For example, a signal filtering device, connected to the real-time recording mechanism, for performing FRANGI filtering on the received current recording image to obtain and output a corresponding real-time filtered image includes: the signal filtering device may be implemented using a PAL device;

[0019] An affine transformation device, connected to the signal filtering device, is used to perform affine transformation processing on the received real-time filtered image to obtain and output the corresponding affine transformation image.

[0020] A cubic interpolation device, connected to the affine transformation device, is used to perform cubic polynomial interpolation processing on the received affine transformation image to obtain and output the corresponding cubic interpolated image.

[0021] A signal identification mechanism, connected to the cubic interpolation device, is used to perform multiple training operations on the feedforward neural network to obtain a trained feedforward neural network, which is then output as an AI analysis model. The total number of pixel rows, the total number of pixel columns, and the grayscale values ​​corresponding to each pixel in the cubic interpolation image are input in parallel into the AI ​​analysis model to run the AI ​​analysis model. The model obtains the type of moving object in the cubic interpolation image output by the AI ​​analysis model to determine whether there is a bloodstain object in the cubic interpolation image. The total number of training operations performed on the feedforward neural network is proportional to the total number of pixels in the cubic interpolation image.

[0022] For example, the fact that the total number of training iterations performed on the feedforward neural network is proportional to the total number of pixels in the cubic interpolated image includes: the numerical correspondence between the total number of training iterations performed on the feedforward neural network and the total number of pixels in the cubic interpolated image can be represented by a numerical transformation function.

[0023] The confirmation processing mechanism, connected to the signal identification mechanism, is used to confirm the live broadcast room with a violent tendencies report record as a violent broadcast room when it is determined that there is a bloodstain object in the three interpolated image; it is also used to not confirm the live broadcast room with a violent tendencies report record as a violent broadcast room and still retain it as a live broadcast room with a violent tendencies report record when it is determined that there is no bloodstain object in the three interpolated image.

[0024] Specifically, the process of inputting the total number of pixel rows, the total number of pixel columns, and the grayscale values ​​corresponding to each pixel in the cubic interpolation image into the AI ​​analysis model in parallel, and running the AI ​​analysis model to obtain the type of moving object in the cubic interpolation image output by the AI ​​analysis model to determine whether there is bloodstain in the cubic interpolation image, includes: performing binary numerical conversion processing on the total number of pixel rows, the total number of pixel columns, and the grayscale values ​​corresponding to each pixel in the cubic interpolation image, and then inputting them into the AI ​​analysis model in parallel.

[0025] Secondary Embodiment

[0026] A secondary embodiment of the present invention illustrates an operating system for confirming violations in internet live streaming rooms.

[0027] The operating system for confirming violations in internet live streaming rooms in a secondary embodiment may also include the following components:

[0028] A content enhancement mechanism is connected to the signal filtering device, the affine transformation device, and the cubic interpolation device, respectively, and is used to perform content enhancement on the respective output image signals of the signal filtering device, the affine transformation device, and the cubic interpolation device to obtain respective content-enhanced images corresponding to the respective output image signals of the signal filtering device, the affine transformation device, and the cubic interpolation device;

[0029] The content enhancement of the output image signals of the signal filtering device, the affine transformation device, and the cubic interpolation device to obtain the content-enhanced images corresponding to the output image signals of the signal filtering device, the affine transformation device, and the cubic interpolation device includes: a first-level content enhancement that performs geometric correction on the output image signals of the signal filtering device, the affine transformation device, and the cubic interpolation device.

[0030] The process of performing content enhancement on the output image signals of the signal filtering device, the affine transformation device, and the cubic interpolation device to obtain content-enhanced images corresponding to the output image signals of the signal filtering device, the affine transformation device, and the cubic interpolation device respectively further includes: performing morphological processing on the output image signals of the signal filtering device, the affine transformation device, and the cubic interpolation device respectively at a second level.

[0031] The process of performing content enhancement on the output image signals of the signal filtering device, the affine transformation device, and the cubic interpolation device to obtain content-enhanced images corresponding to the output image signals of the signal filtering device, the affine transformation device, and the cubic interpolation device respectively further includes: performing adaptive recursive filtering on the output image signals of the signal filtering device, the affine transformation device, and the cubic interpolation device respectively at a third level.

[0032] The process of performing content enhancement on the output image signals of the signal filtering device, the affine transformation device, and the cubic interpolation device to obtain content-enhanced images corresponding to the output image signals of the signal filtering device, the affine transformation device, and the cubic interpolation device further includes: a fourth-level content enhancement that performs exponential transformation-based image enhancement on the output image signals of the signal filtering device, the affine transformation device, and the cubic interpolation device.

[0033] Again, examples

[0034] A further embodiment of the present invention illustrates an operating system for confirming violations in internet live streaming rooms.

[0035] Again, the operating system for confirming violations in internet live streaming rooms in Embodiment 3 may further include the following components:

[0036] A power supply device is connected to the signal filtering device, the affine transformation device, and the cubic interpolation device respectively, and is used to perform real-time power supply to the respective operating voltages of the signal filtering device, the affine transformation device, and the cubic interpolation device;

[0037] The power supply equipment is connected to the signal filtering equipment, the affine transformation equipment, and the cubic interpolation equipment respectively, and is used to perform real-time power supply to the respective operating voltages of the signal filtering equipment, the affine transformation equipment, and the cubic interpolation equipment, including: the power supply equipment is an uninterruptible power supply (UPS);

[0038] The power supply device is connected to the signal filtering device, the affine transformation device, and the cubic interpolation device, respectively, and is used to perform real-time power supply to the respective operating voltages of the signal filtering device, the affine transformation device, and the cubic interpolation device, including: the operating voltage of any one of the signal filtering device, the affine transformation device, and the cubic interpolation device is 3.3V or 5V.

[0039] In addition, in the operating system for the Internet live streaming violation confirmation strategy, the total number of pixel rows in the cubic interpolation image, the total number of pixel columns in the cubic interpolation image, and the grayscale values ​​corresponding to each pixel in the cubic interpolation image are input in parallel into the AI ​​analysis model to run the AI ​​analysis model and obtain the type of moving object in the cubic interpolation image output by the AI ​​analysis model to determine whether there is a bloodstain object in the cubic interpolation image. This also includes: the type of moving object in the cubic interpolation image output by the AI ​​analysis model is represented in binary numerical form.

[0040] The technical advantages of this invention are:

[0041] (1) When bloodstains are found in the live image of a live room with a record of violent tendencies, the live room with a record of violent tendencies will be identified as a violent live room. Otherwise, the live room with a record of violent tendencies will not be identified as a violent live room and will still be retained as a live room with a record of violent tendencies, thereby improving the accuracy and efficiency of identifying violent live rooms.

[0042] (2) Perform multiple trainings on the feedforward neural network to obtain a feedforward neural network that has completed multiple trainings and output it as the AI ​​analysis model. Input the total number of pixel rows, the total number of pixel columns, and the gray values ​​corresponding to each pixel in the cubic interpolation image into the AI ​​analysis model in parallel to run the AI ​​analysis model and obtain the type of moving object in the cubic interpolation image output by the AI ​​analysis model to determine whether there is an object in the cubic interpolation image.

[0043] (3) The total number of training operations performed on the feedforward neural network is proportional to the total number of pixels in the three interpolated images, thereby completing the customized processing of the AI ​​analysis model.

[0044] Although the invention has been described with reference to specific exemplary embodiments thereof, those skilled in the art will understand that various adjustments and variations can be made to the invention without departing from the invention as defined in the appended claims and their equivalents.

Claims

1. An operating system for confirming violations in internet live streaming rooms, characterized in that, The system includes: A real-time recording agency is used to record live scenes in live rooms with reports of violent tendencies, in order to obtain each recording image corresponding to each recording moment, wherein each recording image corresponding to each recording moment includes the current recording image corresponding to the current recording moment. A signal filtering device, connected to the real-time recording mechanism, is used to perform FRANGI filtering on the received current recording image to obtain and output the corresponding real-time filtered image; An affine transformation device, connected to the signal filtering device, is used to perform affine transformation processing on the received real-time filtered image to obtain and output the corresponding affine transformation image. A cubic interpolation device, connected to the affine transformation device, is used to perform cubic polynomial interpolation processing on the received affine transformation image to obtain and output the corresponding cubic interpolated image. A signal identification mechanism, connected to the cubic interpolation device, is used to perform multiple training operations on the feedforward neural network to obtain a trained feedforward neural network, which is then output as an AI analysis model. The total number of pixel rows, the total number of pixel columns, and the grayscale values ​​corresponding to each pixel in the cubic interpolation image are input in parallel into the AI ​​analysis model to run the AI ​​analysis model. The model obtains the type of moving object in the cubic interpolation image output by the AI ​​analysis model to determine whether there is a bloodstain object in the cubic interpolation image. The total number of training operations performed on the feedforward neural network is proportional to the total number of pixels in the cubic interpolation image. The confirmation processing mechanism, connected to the signal identification mechanism, is used to confirm the live broadcast room with a violent tendencies report record as a violent broadcast room when it is determined that there is a bloodstain object in the three interpolated image; it is also used to not confirm the live broadcast room with a violent tendencies report record as a violent broadcast room and still retain it as a live broadcast room with a violent tendencies report record when it is determined that there is no bloodstain object in the three interpolated image. The total number of pixel rows, the total number of pixel columns, and the grayscale values ​​corresponding to each pixel in the cubic interpolation image are input in parallel into the AI ​​analysis model to run the AI ​​analysis model and obtain the type of moving object in the cubic interpolation image output by the AI ​​analysis model to determine whether there is bloodstain in the cubic interpolation image. This includes: performing binary numerical conversion processing on the total number of pixel rows, the total number of pixel columns, and the grayscale values ​​corresponding to each pixel in the cubic interpolation image before inputting them in parallel into the AI ​​analysis model. The moving objects in the cubic interpolated image output by the AI ​​analysis model are represented in binary numerical form.

2. The operating system for confirming violations in internet live streaming rooms as described in claim 1, characterized in that, The system also includes: A content enhancement mechanism is connected to the signal filtering device, the affine transformation device, and the cubic interpolation device, respectively, and is used to perform content enhancement on the respective output image signals of the signal filtering device, the affine transformation device, and the cubic interpolation device to obtain respective content-enhanced images corresponding to the respective output image signals of the signal filtering device, the affine transformation device, and the cubic interpolation device; The content enhancement of the output image signals of the signal filtering device, the affine transformation device, and the cubic interpolation device to obtain the content-enhanced images corresponding to the output image signals of the signal filtering device, the affine transformation device, and the cubic interpolation device includes: a first-level content enhancement that performs geometric correction on the output image signals of the signal filtering device, the affine transformation device, and the cubic interpolation device.

3. The operating system for confirming violations in internet live streaming rooms as described in claim 2, characterized in that: The process of performing content enhancement on the output image signals of the signal filtering device, the affine transformation device, and the cubic interpolation device respectively to obtain content-enhanced images corresponding to the output image signals of the signal filtering device, the affine transformation device, and the cubic interpolation device further includes: performing morphological processing on the output image signals of the signal filtering device, the affine transformation device, and the cubic interpolation device respectively at a second level of content enhancement.

4. The operating system for confirming violations in internet live streaming rooms as described in claim 3, characterized in that: The process of performing content enhancement on the output image signals of the signal filtering device, the affine transformation device, and the cubic interpolation device respectively to obtain content-enhanced images corresponding to the output image signals of the signal filtering device, the affine transformation device, and the cubic interpolation device further includes: performing adaptive recursive filtering on the output image signals of the signal filtering device, the affine transformation device, and the cubic interpolation device respectively at a third level.

5. The operating system for confirming violations in internet live streaming rooms as described in claim 4, characterized in that: The process of performing content enhancement on the output image signals of the signal filtering device, the affine transformation device, and the cubic interpolation device respectively to obtain content-enhanced images corresponding to the output image signals of the signal filtering device, the affine transformation device, and the cubic interpolation device respectively further includes: a fourth level of content enhancement that performs image enhancement based on exponential transformation on the output image signals of the signal filtering device, the affine transformation device, and the cubic interpolation device respectively.

6. The operating system for confirming violations in internet live streaming rooms as described in any one of claims 2-5, characterized in that, The system also includes: A power supply device is connected to the signal filtering device, the affine transformation device, and the cubic interpolation device, respectively, and is used to perform real-time power supply to the respective operating voltages of the signal filtering device, the affine transformation device, and the cubic interpolation device.

7. The operating system for confirming violations in internet live streaming rooms as described in claim 6, characterized in that: A power supply device, connected to the signal filtering device, the affine transformation device, and the cubic interpolation device respectively, is used to perform real-time power supply to the respective operating voltages of the signal filtering device, the affine transformation device, and the cubic interpolation device, including: the power supply device is an uninterruptible power supply device.

8. The operating system for confirming violations in internet live streaming rooms as described in claim 6, characterized in that: A power supply device, connected to the signal filtering device, the affine transformation device, and the cubic interpolation device respectively, is used to perform real-time power supply to the respective operating voltages of the signal filtering device, the affine transformation device, and the cubic interpolation device, including: the operating voltage of any one of the signal filtering device, the affine transformation device, and the cubic interpolation device is 3.3V or 5V.