Video Frame Restructuring for Bitrate Management
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Solution Overview
Problem
Video transcoding struggles to maintain encoding quality with a desired maximum bitrate, particularly due to issues with identifying and encoding repeat frames correctly, leading to inefficient bit usage and quality degradation around sequential B frames.
Innovation Solution
A pattern recognition process is employed to identify repeating frames and adjust the coding of B frames to reference previous P or I frames, allowing for 'zero' bit encoding of repeat frames and promoting B frames to P frames when necessary, thereby enhancing coding efficiency and rate control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If conventional video transcoding is used to reduce bitrate, then transmission bandwidth requirements are reduced, but encoding quality deteriorates due to inefficient bit usage around sequential B frames
Solution Approach 1:
The patent dynamically adjusts frame encoding strategies based on real-time pattern recognition. When repeat frames are detected, the system dynamically changes B frames to P frames or applies zero-bit encoding, adapting the encoding approach to the actual video content rather than using a fixed encoding scheme.
Solution Approach 2:
The patent changes encoding parameters (frame type selection, quantization settings) based on detected patterns of repeat frames. By identifying when consecutive frames are identical or similar, the system modifies encoding parameters to allocate bits more efficiently, reducing waste around sequential B frames while maintaining visual quality.
2Manufacturing precision
If more bits are allocated to each frame to maintain quality, then encoding quality is improved, but transmission bandwidth requirements increase
Solution Approach 1:
The patent applies partial encoding actions to frames that do not require full encoding. By identifying repeat frames through pattern recognition, the system encodes only the necessary information (or zero bits for exact repeats) rather than fully encoding every frame, thus using fewer bits while maintaining quality.
Solution Approach 2:
The patent uses reference copying where repeat frames are identified and referenced from previous frames rather than being fully re-encoded. This allows the decoder to reconstruct frames by copying data from reference frames, significantly reducing the bits needed for transmission while maintaining exact visual quality.
3Productivity
If conventional B frame encoding is used, then compression efficiency is improved, but coding errors propagate around sequential B frames leading to quality degradation
Solution Approach 1:
The patent implements a feedback mechanism through pattern recognition that monitors the video stream for repeat frame patterns. This feedback allows the system to adjust encoding decisions in real-time, switching from B frame to P frame encoding or applying zero-bit encoding when repeats are detected, preventing error propagation while maintaining compression efficiency.
Solution Approach 2:
The patent performs preliminary pattern recognition and frame type adjustment before encoding occurs. By identifying repeat frames in advance and pre-determining the encoding strategy (P frame conversion or zero-bit encoding), the system prevents coding errors from propagating in the first place, ensuring quality stability.
4Device complexity
If repeat frames are not correctly identified, then encoding simplicity is maintained, but bit usage becomes inefficient and quality deteriorates
Solution Approach 1:
The patent segments the video encoding process into distinct stages: pattern recognition, frame type determination, and encoding execution. This segmentation allows the system to apply sophisticated repeat frame detection and handling strategies without overwhelming complexity, as each stage handles a specific aspect of the problem independently.
Data Source
AI summary
A system for restructuring video frames.