Method and device for monitoring live broadcast content in real time
A real-time monitoring and content technology, applied in the field of communication, can solve the problems of low accuracy and real-time performance of live broadcast content, and achieve the effects of reducing computing overhead, improving real-time performance, and improving accuracy
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0027] refer to figure 1 , shows a flow chart of steps of a method for real-time monitoring of live content in Embodiment 1 of the present invention.
[0028] The method for real-time monitoring live content provided by the embodiment of the present invention comprises the following steps:
[0029] Step 101: Receive and analyze live streaming data and audience streaming data in real time to obtain live streaming data and audience data.
[0030] Receive three streaming data of video, audio and audience behavior during the live broadcast in real time.
[0031] For example: during the live broadcast process, the live video content and audio content of the live broadcast, as well as the stream data of the viewer's behavior that will interact with the host during the live broadcast due to the viewers watching the live broadcast, analyze the received stream data, Generate identifiable video frame sequences and audio frames, and at the same time analyze the corresponding audience b...
Embodiment 2
[0047] refer to figure 2 , shows a flow chart of steps of a method for real-time monitoring of live content in Embodiment 2 of the present invention.
[0048] The method for real-time monitoring live content provided by the embodiment of the present invention includes the following contents:
[0049] Step 201: according to the formula min∑L (f (X i ), Y i )+αT to train the classifier.
[0050] Among them, f(X i ) represents the overall decision function, αT represents the classifier function, and Yi represents the labeled sample.
[0051] The training of the cascade classifier is calculated offline. In order to balance the efficiency of calculation and the accuracy of detection, the accuracy and calculation time are considered when setting the objective function.
[0052] Using min∑L(f(X i ), Y i )+αT to train the classifier, where f(X i ) represents the overall decision function, α represents the hyperparameter, T represents the average feature extraction time of the...
Embodiment 3
[0087] refer to image 3 It shows a device for real-time monitoring of live content according to Embodiment 3 of the present invention.
[0088] The device for real-time monitoring of live content provided by the embodiment of the present invention includes: a real-time receiving module 301 for receiving and analyzing live stream data and audience stream data in real time to obtain live data and audience data; an extraction module 302 for extracting data from the live stream data and the audience data to extract feature data; calculation module 303, used to calculate the score value corresponding to each feature data; output result module 304, used for the first classifier to obtain any one of the score value and the first preset Thresholds are compared to determine the security level of the live content and output the judgment result.
[0089] The embodiment of the present invention provides a device for real-time monitoring of live content. Through real-time monitoring, fea...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com