Segment-Based Video Encoding Optimization
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Solution Overview
Problem
Current video encoding technologies face challenges in achieving optimal quality and efficiency due to complexities in determining subjective video quality and balancing bit-rate and time constraints, particularly in segmenting and encoding video content effectively across different scenes and resource limitations.
Innovation Solution
A segment-based video encoding optimization method that splits input video streams into segments, selects representative segments, applies a quality-driven encoding scheme, and adjusts encoding configurations based on evaluated quality to generate an output stream that balances quality and bit-rate, using techniques like GOP-based encoding and adaptive compression parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If video encoding is performed to achieve high quality, then video quality is improved, but bit-rate consumption increases
Solution Approach 1:
The video stream is divided into multiple segments, and representative segments are selected for quality-driven encoding. This segmentation allows the system to apply different encoding strategies to different parts of the video, optimizing quality where needed while reducing bit-rate in less critical areas, thus resolving the contradiction between high quality and low bit-rate consumption.
Solution Approach 2:
The patent applies quality-driven encoding selectively to representative segments rather than uniformly across the entire video stream. By determining encoding configurations based on evaluated quality of representative segments and applying them locally, the system achieves high quality in critical areas while minimizing overall bit-rate consumption.
2Productivity
If encoding configuration is optimized for each segment, then encoding efficiency is improved, but system complexity increases
Solution Approach 1:
The system performs preliminary encoding on representative segments to determine optimal encoding configurations before applying these configurations to the entire video stream. This preliminary action allows the system to pre-calculate and store encoding configurations, reducing the complexity of real-time decision-making while maintaining high encoding efficiency.
Solution Approach 2:
The patent uses representative segments as copies or samples of the overall video content. By analyzing these representative copies to determine encoding configurations, the system avoids the complexity of analyzing every single segment while still achieving optimized encoding efficiency through the extrapolation of patterns from the representative samples.
3Reliability
If quality evaluation is performed on all encoded segments, then quality assurance is improved, but processing time increases
Solution Approach 1:
The system extracts and evaluates only representative segments for quality assurance rather than performing quality evaluation on all encoded segments. This extraction approach maintains reliable quality assurance by focusing on critical representative samples while significantly reducing the processing time required for comprehensive quality checking.
Data Source
AI summary
A computerized method and system of segment-based video encoding optimization, the method comprising obtaining a set of input segments constituting an input video stream; selecting one or more input segments in accordance with a selection criterion to be one or more representative segments; determining an encoding instruction and obtaining one or more encoded representative segments encoded from the representative segments in accordance with the encoding instruction and using a quality-driven video encoding scheme; determining, based on the encoded representative segments, an encoding configuration, and obtaining one or more encoded input segments encoded from at least a sub-set of the input segments using the encoding configuration; determining an evaluation instruction used to evaluate quality for each encoded input segment; and generating an output video stream, by selecting, for each input segment, a corresponding output segment from a group comprising at least one of the following candidate segments: the input segment, an encoded representative segment, and an encoded input segment.