Video Transmission Error Validation Using Regional Frame Sampling
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Solution Overview
Problem
Existing video transmission systems struggle to efficiently detect and identify the source of errors in audio and video data during virtual meetings, consuming significant computing resources and failing to pinpoint errors accurately, which affects user experience and system efficiency.
Innovation Solution
A method where a client device extracts error sampling data from distinct regions of an image frame before encoding, transmitting this data along with encoded image data, allowing a receiving device to compare characteristics and detect errors with minimal resource consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional error detection methods are used in video transmission systems, then errors can be detected, but computing resource consumption is significant and error source identification is difficult
Solution Approach 1:
The patent divides the video frame into multiple distinct regions and extracts error sampling data from each region separately. This segmentation allows the system to detect errors in specific regions without processing the entire frame, significantly reducing computing resource consumption while maintaining error detection capability.
Solution Approach 2:
The patent extracts only the essential error sampling data from specific regions of the video frame, rather than processing the complete frame data. This extraction approach focuses computational resources on critical areas, reducing overall computing resource consumption while preserving the ability to detect and identify error sources.
2Measurement precision
If comprehensive error detection is performed across the entire video stream, then error detection accuracy is improved, but system latency increases
Solution Approach 1:
By segmenting the video frame into distinct regions and selecting specific regions for error sampling, the system achieves accurate error detection in critical areas without the need to process the entire video stream. This selective approach reduces processing time and system latency while maintaining detection accuracy in the sampled regions.
Solution Approach 2:
The patent applies partial action by performing error detection only on selected regions rather than the complete video frame. This partial processing approach reduces the overall processing time and latency while still providing sufficient error detection accuracy for the sampled regions, which are representative of the entire video stream.
3Difficulty of detecting and measuring
If error sampling is performed on multiple regions of image frames, then error source identification is improved, but data transmission volume increases
Solution Approach 1:
The patent extracts only the essential error sampling data from multiple regions, focusing on critical error indicators rather than transmitting complete region data. This extraction approach enables effective error source identification by comparing sampling data across regions while keeping the transmitted data volume minimal.
Solution Approach 2:
The patent applies different error sampling strategies to different regions based on their importance and error susceptibility. By tailoring the sampling approach to each region's characteristics, the system achieves improved error source identification in critical areas without uniformly increasing data transmission volume across all regions.
Data Source
AI summary
A method and systems are disclosed for error state validation of a video transmission system. Image data including one or more image frames is identified by a client device. Two or more regions of the one or more image frames are determined for error sampling. Error sampling data is derived based on the image data, the error sampling data indicating characteristics of one or more image pixels located at the two or more regions. One or more encoding operations are performed to encode the image data. The encoded image data and the error sampling data is transmitted to an additional client device.