ROI-Based Video Encoding for 8K Storage Write Bottlenecks
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Solution Overview
Problem
The existing video recording methods often fail when recording ultra-high definition 8K videos due to the high bit rate, resulting in a contradiction between the video's bit rate and the write bottleneck of the storage device, leading to recording failures.
Innovation Solution
A method and device that divide each frame of the video data into a region of interest and a background region using a neural network model, encoding them with different bit rates, and controlling the output bit rate of the encoder in real time based on the buffer status and I/O speed of the storage device, prioritizing the region of interest for higher quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the video bit rate is increased to maintain high quality encoding, then the encoding quality is improved, but the storage device write capability becomes insufficient causing recording failures
Solution Approach 1:
The patent applies local quality by dividing the video frame into region of interest (ROI) and non-ROI areas, then applying different encoding bit rates to different regions. The ROI areas receive higher bit rates to maintain visual quality, while non-ROI areas use lower bit rates to reduce overall data volume, thereby resolving the contradiction between encoding quality and storage write capability.
2Reliability
If the encoding bit rate is reduced to match storage device write speed, then recording reliability is improved, but the video quality deteriorates
Solution Approach 1:
Instead of uniformly reducing the bit rate across the entire video frame, the patent identifies ROI regions and maintains higher bit rates for these areas while reducing bit rates only for non-ROI regions. This ensures that critical visual information is preserved while achieving overall bit rate reduction to match storage device write speed.
3Reliability
If the storage device hardware is upgraded to handle high bit rate videos, then recording reliability is improved, but the system cost and complexity increase
Solution Approach 1:
The patent changes the encoding parameter (bit rate) dynamically based on ROI detection and buffer status, rather than upgrading hardware. By adjusting the encoding bit rate to match the storage device's write capability while preserving quality in ROI regions, the system achieves reliable recording without modifying hardware configuration.
Data Source
AI summary
A video recording method and a video recording device are provided. The method includes: obtaining video data to be recorded; dividing, based on the video data, each frame of the video data into a region of interest and a background region by using a preset neural network model; and encoding the region of interest of the video data based on a first encoding bit rate, and the background region based on a second bit rate, and storing the encoded video data into a storage device through a video buffer.