Live Streaming Video Orientation Correction for Co-hosting Interaction
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Solution Overview
Problem
In co-hosting live streaming, the misalignment of host images can degrade the interaction effect, as hosts may fail to follow the designated orientation cues, leading to failed interactions such as handshakes.
Innovation Solution
A method and device that perform face orientation recognition on live streaming videos, calculate deviation angles, and flip the videos when the angle exceeds a threshold, ensuring correct alignment and merging to maintain interactive effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the host terminal obtains and merges live images of the master host and guest host to create a merged streaming video, then the co-hosting live streaming function is achieved, but the interaction effect is degraded when hosts fail to follow the designated orientation
Solution Approach 1:
The patent applies inversion by automatically flipping the video feed of the host who deviates from the designated orientation. Instead of requiring hosts to manually follow orientation cues, the system inverts the problem by flipping their video stream to correct the orientation mismatch. This allows the merged video to maintain the correct face-to-face interaction effect even when hosts fail to follow orientation instructions.
Solution Approach 2:
The patent implements feedback by continuously monitoring the orientation of hosts through face detection and orientation recognition, comparing it with the designated orientation, and automatically triggering video flipping when deviation exceeds a threshold. This closed-loop feedback system ensures the interaction effect is maintained in real-time without requiring manual intervention from hosts.
2Adaptability or versatility
If the system provides orientation prompts to guide hosts, then the intended face-to-face interaction effect can be achieved, but the system complexity increases due to face orientation recognition and video flipping operations
Solution Approach 1:
The patent applies self-service by implementing an automated system that performs face detection, orientation recognition, deviation calculation, and video flipping without requiring manual intervention. The system serves itself by automatically correcting orientation issues through algorithmic processing, reducing the need for complex manual control mechanisms while maintaining the interaction effect.
Solution Approach 2:
The patent replaces mechanical orientation control (manually adjusting camera angles or host positions) with computational methods. By using face detection algorithms, orientation recognition, and digital video flipping, the system substitutes physical adjustment mechanisms with software-based solutions, thereby managing complexity through algorithmic automation rather than mechanical systems.
3Reliability
If real-time face orientation recognition and video flipping are implemented, then the interaction success rate is improved, but the processing time and computational resources increase
Solution Approach 1:
The patent applies preliminary action by pre-establishing the face detection model, orientation recognition algorithms, and video flipping mechanisms before live streaming begins. The system prepares the computational framework in advance, allowing real-time processing during the stream to be more efficient. Orientation prompts are provided beforehand, and the automated correction system is ready to immediately flip videos when deviation is detected, minimizing processing delays during actual interactions.
Data Source
AI summary
Provided are a method and device for processing a live streaming image based on co-hosting live streaming, an electronic device, and a computer-readable storage medium. The method includes: obtaining at least two live streaming videos for the co-hosting live streaming, and performing a face orientation recognition on at least one of the live streaming videos to determine a face orientation of a host character in the live streaming video; calculating a deviation angle between the face orientation and a preset indicating orientation; flipping the live streaming video to obtain a flipped live streaming video, in a case that the deviation angle reaches a preset angle threshold; and merging by using the flipped live streaming video to obtain a streaming video for the co-hosting live streaming.


