Internet live broadcast room illegal behavior confirmation strategy operating system

Abstract

The invention relates to an illegal behavior confirmation strategy operating system for an internet live broadcast room. The system comprises an instant video recording mechanism which is used for carrying out video recording action on a live broadcast scene of a live broadcast room with violent tendency report records so as to obtain each video recording image corresponding to each video recording moment; and the confirmation processing mechanism is used for confirming the live broadcasting room with the violence tendency report record as a violence playing live broadcasting room when the bloodstain object is determined to exist in the cubic interpolation image. Through the system, when it is determined that the bloodstain object exists in the live broadcast image of the live broadcast room with the violence tendency report record, the live broadcast room with the violence tendency report record is determined to be the violence playing live broadcast room, and otherwise, the bloodstain object is determined to be the violence playing live broadcast room. And the live broadcasting room with the violent tendency report record is not confirmed as the violent playing live broadcasting room and is still reserved as the live broadcasting room with the violent tendency report record, so that the accuracy and the efficiency of confirming the violent playing live broadcasting room are improved.

Description

Technical Field

[0001] The present invention relates to the field of live broadcast management, and more specifically, to an operating system for confirming illegal behavior in an Internet live broadcast room. Background Art

[0002] High-quality live broadcast content and good anchor management can improve the user experience. Through live broadcast operations, accurate content push and interaction can be carried out according to user needs, satisfying users' viewing and social needs, and improving users' satisfaction with the platform. Effective live broadcast operations can reduce the operating costs of the platform. By optimizing anchor management and content planning, ineffective investment can be reduced, the input-output ratio of the platform can be improved, and operating costs can be reduced. Good live broadcast operations can enhance user stickiness. Through accurate content push and interaction, users' stickiness to the platform can be enhanced, user participation and loyalty can be improved, laying a solid foundation for the long-term development of the platform.

[0003] However, in order to attract attention, increase the playback traffic of their live videos and seek more economic benefits, some live streaming businesses often skirt the rules of live content management or quietly exceed the scope of live content management to conduct some violent live broadcasts, or even create live videos of beatings and bleeding, which not only cause personal injuries to the participants of the live broadcast, but also have an adverse impact on the entire live broadcast atmosphere. Summary of the invention

[0004] In order to solve the technical problems in related fields, the present invention provides an Internet live broadcast room violation confirmation strategy operating system, which can confirm the live broadcast room with a record of violent tendency reports as a violent broadcast live broadcast room when it is determined that there is a blood object in the live broadcast image of the live broadcast room with a record of violent tendency reports. Otherwise, the live broadcast room with a record of violent tendency reports will not be confirmed as a violent broadcast live broadcast room and will still be retained as a live broadcast room with a record of violent tendency reports, thereby improving the accuracy and efficiency of the confirmation of violent broadcast live rooms.

[0005] According to the present invention, an Internet live broadcast room violation behavior confirmation strategy operating system is provided, and the system comprises: An instant recording mechanism is used to record the live broadcast scene of the live broadcast room with a record of violent tendency reports, so as to obtain respective recorded images corresponding to respective recorded moments, wherein the respective recorded images corresponding to respective recorded moments include a current recorded image corresponding to a current recorded moment; A signal filtering device, connected to the instant video recording mechanism, for performing FRANGI filtering on the received current video image to obtain and output a corresponding instant filtered image; an affine transformation device, connected to the signal filtering device, for performing affine transformation processing on the received instant filtered image to obtain and output a corresponding affine transformed image; A cubic interpolation device, connected to the affine transformation device, for performing a cubic polynomial interpolation process on the received affine transformation image to obtain and output a corresponding cubic interpolation image; a signal identification mechanism connected to the cubic interpolation device, and used to perform multiple trainings on the feedforward neural network to obtain a feedforward neural network that has completed multiple trainings and output it as an AI analysis model, and to input the total number of pixel rows existing in the cubic interpolation image, the total number of pixel columns existing in the cubic interpolation image, and the respective grayscale values ​​corresponding to the respective pixel points of the cubic interpolation image into the AI ​​analysis model in parallel, so as to run the AI ​​analysis model, and to obtain the type of the 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, and the total number of trainings of the multiple trainings performed on the feedforward neural network is proportional to the total number of pixel points existing in the cubic interpolation image; The confirmation processing mechanism is connected to the signal identification mechanism, and is used to confirm the live broadcast room with a record of reporting violence as a violent broadcast live broadcast room when it is determined that there is a bloodstain object in the three-dimensional interpolation image, and is also used to not confirm the live broadcast room with a record of reporting violence as a violent broadcast live broadcast room and still retain it as a live broadcast room with a record of reporting violence when it is determined that there is no bloodstain object in the three-dimensional interpolation image.

[0006] The Internet live broadcast room violation behavior confirmation strategy operating system of the present invention is intelligently designed and stable in operation. When it is determined that there is a blood object in the live broadcast image of the live broadcast room with a violent tendency report record, the live broadcast room with a violent tendency report record is confirmed as a violent broadcast live broadcast room. Otherwise, the live broadcast room with a violent tendency report record is not confirmed as a violent broadcast live broadcast room and is still retained as a live broadcast room with a violent tendency report record, thereby improving the accuracy and efficiency of the confirmation of the violent broadcast live broadcast room. DETAILED DESCRIPTION

[0007] Primary Embodiment

[0008] According to the Internet live broadcast room violation behavior confirmation strategy operating system of the primary embodiment of the present invention, the system includes: An instant recording mechanism is used to record the live broadcast scene of the live broadcast room with a record of violent tendency reports, so as to obtain respective recorded images corresponding to respective recorded moments, wherein the respective recorded images corresponding to respective recorded moments include a current recorded image corresponding to a current recorded moment; For example, the instant recording mechanism is used to record the live broadcast scene of the live broadcast room with the violent tendency report record to obtain the respective recorded images corresponding to the respective recorded moments, wherein the respective recorded images corresponding to the respective recorded moments include the current recorded image corresponding to the current recorded moment, including: the instant recording mechanism includes an imaging lens and an imaging sensor; A signal filtering device, connected to the instant video recording mechanism, for performing FRANGI filtering on the received current video image to obtain and output a corresponding instant filtered image; For example, the signal filtering device is connected to the instant video recording mechanism and is used to perform FRANGI filtering on the received current video image to obtain and output the corresponding instant filtered image, including: a PAL device can be selected to implement the signal filtering device; an affine transformation device, connected to the signal filtering device, for performing affine transformation processing on the received instant filtered image to obtain and output a corresponding affine transformed image; A cubic interpolation device, connected to the affine transformation device, for performing a cubic polynomial interpolation process on the received affine transformation image to obtain and output a corresponding cubic interpolation image; a signal identification mechanism connected to the cubic interpolation device, and used to perform multiple trainings on the feedforward neural network to obtain a feedforward neural network that has completed multiple trainings and output it as an AI analysis model, and to input the total number of pixel rows existing in the cubic interpolation image, the total number of pixel columns existing in the cubic interpolation image, and the respective grayscale values ​​corresponding to the respective pixel points of the cubic interpolation image into the AI ​​analysis model in parallel, so as to run the AI ​​analysis model, and to obtain the type of the 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, and the total number of trainings of the multiple trainings performed on the feedforward neural network is proportional to the total number of pixel points existing in the cubic interpolation image; For example, the total number of trainings performed on the feedforward neural network is proportional to the total number of pixels in the cubic interpolation image, including: a numerical conversion function can be used to represent a numerical correspondence relationship that the total number of trainings performed on the feedforward neural network is proportional to the total number of pixels in the cubic interpolation image; a confirmation processing mechanism connected to the signal identification mechanism, and configured to confirm the live broadcast room with a record of violent tendency reports as a violent broadcast live broadcast room when it is determined that there is a blood object in the three-dimensional interpolation image, and to not confirm the live broadcast room with a record of violent tendency reports as a violent broadcast live broadcast room and to retain it as a live broadcast room with a record of violent tendency reports when it is determined that there is no blood object in the three-dimensional interpolation image; Among them, 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 the pixels of the cubic interpolation image are input in parallel to the AI ​​analysis model to run the AI ​​analysis model, and the type of moving objects in the cubic interpolation image output by the AI ​​analysis model is obtained to determine whether there is a bloodstain object in the cubic interpolation image, including: 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 the pixels of the cubic interpolation image are converted into binary values ​​and then input in parallel to the AI ​​analysis model.

[0009] Secondary Examples

[0010] According to a secondary embodiment of the present invention, an Internet live broadcast room violation confirmation strategy operating system is shown.

[0011] The Internet live broadcast room violation behavior confirmation policy operating system in the secondary embodiment may also include the following components: a content enhancement mechanism, connected to the signal filtering device, the affine transformation device and the cubic interpolation device, respectively, for performing content enhancement on the respective output image signals of the signal filtering device, the affine transformation device and the cubic interpolation device, so as 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 steps 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 include: performing geometric correction on the output image signals of the signal filtering device, the affine transformation device and the cubic interpolation device in a first level of content enhancement; The steps 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 include: performing morphological processing on the output image signals of the signal filtering device, the affine transformation device and the cubic interpolation device respectively in the second-level content enhancement; The content enhancement is performed on the output image signals of the signal filtering device, the affine transformation device and the cubic interpolation device respectively 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 respectively, and the third level content enhancement is performed on the output image signals of the signal filtering device, the affine transformation device and the cubic interpolation device respectively. And wherein, content enhancement is performed 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, and also includes: the fourth level content enhancement performs image enhancement actions based on exponential transformation on the respective output image signals of the signal filtering device, the affine transformation device and the cubic interpolation device.

[0012] Again, the example According to another embodiment of the present invention, an Internet live broadcast room violation confirmation strategy operating system is shown.

[0013] Again, the Internet live broadcast room violation confirmation strategy operating system in Example 3 may also include the following components: A power supply device, connected to the signal filtering device, the affine transformation device and the cubic interpolation device, respectively, for respectively performing real-time power supply to the respective working voltages of the signal filtering device, the affine transformation device and the cubic interpolation device; Wherein, 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 respectively perform real-time power supply of the respective working 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; And wherein, the power supply device is respectively connected to the signal filtering device, the affine transformation device and the cubic interpolation device, and is used to respectively perform real-time power supply for the respective working voltages of the signal filtering device, the affine transformation device and the cubic interpolation device, including: any working voltage of the signal filtering device, the affine transformation device and the cubic interpolation device is 3.3V or 5V.

[0014] In addition, in the Internet live broadcast room violation confirmation strategy operating system, 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 the pixels of the cubic interpolation image are input in parallel to the AI ​​analysis model to run the AI ​​analysis model, and the type of moving objects in the cubic interpolation image output by the AI ​​analysis model is obtained to determine whether there is a bloodstain object in the cubic interpolation image, which also includes: the type of moving objects in the cubic interpolation image output by the AI ​​analysis model is represented in the form of binary values.

[0015] The technical advantages of the present invention are: (1) When it is determined that there is blood in the live broadcast image of a live broadcast room with a record of violent tendencies, the live broadcast room with a record of violent tendencies will be confirmed as a violent broadcast room. Otherwise, the live broadcast room with a record of violent tendencies will not be confirmed as a violent broadcast room and will still be retained as a violent broadcast room, thereby improving the accuracy and efficiency of the confirmation of violent broadcast rooms; (2) performing multiple training on the feedforward neural network to obtain a feedforward neural network that has completed multiple training and outputting it as an AI parsing model, inputting 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 the pixels of the cubic interpolation image into the AI ​​parsing model in parallel, so as to run the AI ​​parsing model and obtain the type of moving objects in the cubic interpolation image output by the AI ​​parsing model to determine whether there is an object in the cubic interpolation image; (3) The total number of training sessions performed on the feedforward neural network is proportional to the total number of pixels in the cubic interpolation image, thereby completing the customized processing of the AI ​​parsing model.

[0016] While the invention has been described with reference to certain exemplary embodiments thereof, it will be apparent to those skilled in the art that various modifications and changes may be made therein without departing from the invention as defined in the appended claims and their equivalents.

Claims

1. An Internet live broadcast room violation behavior confirmation strategy operating system, characterized in that: The system comprises: An instant recording mechanism is used to record the live broadcast scene of the live broadcast room with a record of violent tendency reports, so as to obtain respective recorded images corresponding to respective recorded moments, wherein the respective recorded images corresponding to respective recorded moments include a current recorded image corresponding to a current recorded moment; A signal filtering device, connected to the instant video recording mechanism, for performing FRANGI filtering on the received current video image to obtain and output a corresponding instant filtered image; an affine transformation device, connected to the signal filtering device, for performing affine transformation processing on the received instant filtered image to obtain and output a corresponding affine transformed image; A cubic interpolation device, connected to the affine transformation device, for performing a cubic polynomial interpolation process on the received affine transformation image to obtain and output a corresponding cubic interpolation image; a signal identification mechanism connected to the cubic interpolation device, and used to perform multiple trainings on the feedforward neural network to obtain a feedforward neural network that has completed multiple trainings and output it as an AI analysis model, and to input the total number of pixel rows existing in the cubic interpolation image, the total number of pixel columns existing in the cubic interpolation image, and the respective grayscale values ​​corresponding to the respective pixel points of the cubic interpolation image into the AI ​​analysis model in parallel, so as to run the AI ​​analysis model, and to obtain the type of the 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, and the total number of trainings of the multiple trainings performed on the feedforward neural network is proportional to the total number of pixel points existing in the cubic interpolation image; The confirmation processing mechanism is connected to the signal identification mechanism, and is used to confirm the live broadcast room with a record of reporting violence as a violent broadcast live broadcast room when it is determined that there is a bloodstain object in the three-dimensional interpolation image, and is also used to not confirm the live broadcast room with a record of reporting violence as a violent broadcast live broadcast room and still retain it as a live broadcast room with a record of reporting violence when it is determined that there is no bloodstain object in the three-dimensional interpolation image.

2. The Internet live broadcast room violation behavior confirmation strategy operating system as claimed in claim 1, characterized in that: 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 the pixels of the cubic interpolation image are input in parallel to the AI ​​analysis model to run the AI ​​analysis model, and the type of moving objects in the cubic interpolation image output by the AI ​​analysis model is obtained to determine whether there is a bloodstain object in the cubic interpolation image, including: performing binary numerical conversion processing on 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 the pixels of the cubic interpolation image, and then inputting them in parallel to the AI ​​analysis model.

3. The Internet live broadcast room violation behavior confirmation strategy operating system as claimed in claim 2, characterized in that: The system further comprises: a content enhancement mechanism, connected to the signal filtering device, the affine transformation device and the cubic interpolation device, respectively, for performing content enhancement on the respective output image signals of the signal filtering device, the affine transformation device and the cubic interpolation device, so as 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; Among them, content enhancement is performed 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, including: the first level content enhancement performs geometric correction actions on the respective output image signals of the signal filtering device, the affine transformation device and the cubic interpolation device.

4. The Internet live broadcast room violation behavior confirmation strategy operating system as claimed in claim 3 is characterized by: Content enhancement is performed 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, and also includes: the second level content enhancement performs morphological processing actions on the respective output image signals of the signal filtering device, the affine transformation device and the cubic interpolation device.

5. The Internet live broadcast room violation behavior confirmation strategy operating system as claimed in claim 4 is characterized by: Content enhancement is performed on the respective 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 respective output image signals of the signal filtering device, the affine transformation device and the cubic interpolation device, respectively. The third level of content enhancement also includes adaptive recursive filtering actions on the respective output image signals of the signal filtering device, the affine transformation device and the cubic interpolation device, respectively.

6. The Internet live broadcast room violation behavior confirmation strategy operating system as claimed in claim 5, characterized in that: The content enhancement is performed on the respective 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 respective output image signals of the signal filtering device, the affine transformation device and the cubic interpolation device, which also includes: the fourth level content enhancement performs image enhancement actions based on exponential transformation on the respective output image signals of the signal filtering device, the affine transformation device and the cubic interpolation device.

7. The Internet live broadcast room violation behavior confirmation strategy operating system as described in any one of claims 3-6, characterized in that: The system further comprises: 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 respectively perform real-time power supply to the respective working voltages of the signal filtering device, the affine transformation device and the cubic interpolation device.

8. The Internet live broadcast room violation behavior confirmation strategy operating system as claimed in claim 7, characterized in that: A power supply device is respectively connected to the signal filtering device, the affine transformation device and the cubic interpolation device, and is used to respectively perform real-time power supply for the respective working 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.

9. The Internet live broadcast room violation behavior confirmation strategy operating system as claimed in claim 7, characterized in that: A power supply device is respectively connected to the signal filtering device, the affine transformation device and the cubic interpolation device, and is used to respectively perform real-time power supply for the respective working voltages of the signal filtering device, the affine transformation device and the cubic interpolation device, including: any working voltage of the signal filtering device, the affine transformation device and the cubic interpolation device is 3.3V or 5V.