Virtual Live Streaming Playback to Avoid False Risk Triggers
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Solution Overview
Problem
E-commerce platforms face issues with risk control systems incorrectly identifying virtual live streaming activities as robot streaming due to lag, leading to suspension or banning, causing economic losses and hindering the development of virtualized person live streaming.
Innovation Solution
A method involving a speech generation service to obtain speech texts, a video generation service to create portrait oral videos based on template videos, and a virtual camera driving service to implement virtual live streaming, ensuring the videos meet the required duration and natural motion features, thereby avoiding misidentification by the risk control system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the risk control system identifies robot live streaming behaviors to maintain information security, then the security control of e-commerce live streaming activities is strengthened, but virtual live streaming activities are misidentified and falsely triggered, causing interference with normal live streaming operations
Solution Approach 1:
The system performs preliminary actions by pre-generating a series of video frames in advance before the actual live streaming begins. These pre-generated frames are stored and ready for rapid deployment when needed, allowing the virtual influencer to appear as if actively streaming without real-time generation delays that would trigger risk control systems
Solution Approach 2:
The system dynamically adjusts the playback speed and timing of pre-generated video frames to match the actual live streaming timeline. By controlling the playback rate adaptively, the system creates the illusion of real-time interaction while maintaining the security benefits of pre-generated content, effectively evading robot detection algorithms
2Productivity
If the video stream is generated in real-time for virtual live streaming, then the live streaming activity can be performed, but the risk control system may misidentify it as robot live streaming due to generation lag
Solution Approach 1:
The system performs preliminary actions by pre-generating a series of video frames in advance before the actual live streaming begins. These pre-generated frames are stored and ready for rapid deployment when needed, allowing the virtual influencer to appear as if actively streaming without real-time generation delays that would trigger risk control systems
Solution Approach 2:
The system creates multiple copies of the virtual influencer's video content in advance, generating a library of pre-rendered video frames that can be played back during live streaming. This copying approach allows the system to distribute content delivery across multiple pre-generated segments, avoiding the detection patterns associated with real-time single-source generation
3Measurement precision
If the risk control system suspends or bans virtual live streaming activities due to misidentification, then incorrect interference is prevented, but normal e-commerce live streaming operations are disrupted
Solution Approach 1:
The system introduces an intermediary layer between the risk control system and the live streaming content by using pre-generated video frames as a buffer. This intermediary approach allows the system to present content that appears authentic and dynamically generated while actually being pre-approved and stored, effectively mediating between security requirements and operational continuity
Data Source
AI summary
The present application relates to a method for preventing a false triggering of a live streaming risk control, a device, and a product, the method includes responding to an instruction of starting a virtual live streaming, starting an e-commerce live streaming room on an e-commerce platform; obtaining a speech list from a speech server, the speech list including speech texts corresponding to business links of a same live streaming business process; generating a portrait oral video corresponding to each of the speech texts based on a template video, the template video having a preset required duration, and each image frame of the template video comprising a facial image collected based on a same person; implementing a virtual live streaming activity by pushing the portrait oral video corresponding to each speech text to the e-commerce live streaming room, according to the live streaming business process.