Live video monitoring and standardizing method

A live video and standardized technology, applied in the direction of image communication, selective content distribution, electrical components, etc., can solve problems such as hang-up, and achieve a good experience effect

Active Publication Date: 2020-03-06
HANGZHOU ARCVIDEO TECHNOLOGY CO LTD
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AI-Extracted Technical Summary

Problems solved by technology

The current management mode is generally manual management, that is, the administrator randomly checks the live broadcast roo...
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Abstract

The invention discloses a live video monitoring and standardizing method. The method specifically comprises the following steps: (1) after live video broadcasting is started, periodically starting image collection; (2) performing AI face recognition and living body detection on the acquired video data; (3) recording each detection success or detection failure, and carrying out standard prompt on the live video; and (4) calculating the effective duration in the live video. The beneficial effects of the invention are that the method achieves the effective monitoring of the live broadcast duration, can achieve the payment of salary through the parameter, can standardize the live broadcast of a show house, enables an anchor to show the appearance as many as possible, enables the audience to have better experience, and can give a warm prompt to the anchor; in this way, the visual effect in each time period in the live video can be known, and certainly, a total score is provided for evaluating the overall effect of the whole live video.

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Technology Topic

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  • Live video monitoring and standardizing method
  • Live video monitoring and standardizing method

Examples

  • Experimental program(1)

Example Embodiment

[0022] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.
[0023] like figure 1 In the described embodiment, a method for video live monitoring and regulation specifically includes the following steps:
[0024] (1) After the live video broadcast is started, the image collection is started at regular intervals; after the live video broadcast is started, the mobile device collects the video stream data, and after the live broadcast starts, a timing task is started, that is, a short period of time T2 is collected after a period of time T1 Video data (for example: T1 = 8s, T2 = 2s, because liveness detection needs to be judged by the shaking of the face, so it takes a certain amount of time);
[0025] (2) Carry out AI face recognition and living body detection with the video data collected; Carry out AI face recognition and live body detection with the video data collected in step (1), and record the number S of success and the individual of failure Count F (if in order to make the viewing effect better, it can be determined that the face is at a certain position in the center of the screen to be judged as successful);
[0026] Pass the video data collected in the previous step to AI face recognition and liveness detection. In order to have a better live video viewing effect, the setting needs to place the entire face in the video screen, and place it in the up, down, left, and right sides. It is necessary to leave a certain distance blank so that the verification can be passed; a certain face position is used as a full score of 100 points (for example, the face is in the middle of the screen, and 20% of the top, bottom, left, and right sides are left), when the face has a vertical deviation When moving or shifting left and right, points will be deducted in proportion to the amount of offset, and the more the offset, the more points will be deducted; of course, this score needs to be added to the evaluation of the liveness test. If the liveness test fails, a fixed value will be deducted. (Because of the limitations of the current live detection technology, all do not directly locate 0 points), after this step, the corresponding score of each video will be given, and the score is not less than 60 points, then the record is successful; if the score is low At 60 points, the record fails;
[0027] (3) Record each detection success or detection failure, and provide a standard prompt for the live video; record each detection success or detection failure, as long as N consecutive detection failures are received, the upper layer will be called back, which means The broadcast of the anchor during this period did not meet the specifications, and a pop-up window was used to remind in the early stage; if the anchor still did not follow the advice, the message was pushed to the platform administrator for further verification or even closing the live broadcast;
[0028] like figure 2 As shown, for N consecutive times (for example, 12 times, that is, for 2 consecutive minutes), the score is lower than a certain set score (for example, 60 points), it will be reminded by a pop-up box, such as "Your current location, The viewing effect is not very good, please adjust it in time to get the best effect"; for M consecutive times (such as 30 times, that is, 5 consecutive minutes) with a score lower than the above-mentioned set score, the live broadcast ID and simple Instructions are sent to the administrator for manual management, where M is greater than N;
[0029] (4) Calculate the effective duration in the live video broadcast; through the formula, namely effective duration=S*(T1+T2), calculate the effective duration in the live video broadcast;
[0030] After the live video broadcast is over, conduct a complete objective evaluation of the quality of the entire video, record the scores of each video during the live video broadcast as g1 to gn, and then divide by the total number of scores to calculate the overall average score g; Among them, sometimes the anchor leaves for some reason and forgets to close it. In this case, the overall average score will be lowered. Therefore, after excluding the number of 0 points from the total number of points, Obtain the total number of new scores, and then calculate the average score.
[0031] After the live broadcast is over, the present invention can count the effective duration of this live broadcast, which can be used for statistics by the platform; with the constraints of effective duration statistics, the content of the live video broadcast can be better regulated, and the accuracy of the broadcast content of the anchor can be improved. quality. Based on the present invention, it can be known that in the live video broadcast, the visual effects in each time period, of course, also has a total score, which is used to evaluate the overall effect of the whole live video broadcast; the anchor of the live video broadcast can know the live broadcast effect of himself in real time, because There are real-time reminders, and the live broadcast can be better regulated; the administrator of the live broadcast platform can also manage the live video broadcast in real time after receiving the reminder.
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Description & Claims & Application Information

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