Video Camera Rate Control Compression Algorithm
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Solution Overview
Problem
Digital video cameras face challenges with computationally expensive image compression techniques, leading to large video file sizes and compatibility issues with editing software, requiring additional processing steps and expensive hardware.
Innovation Solution
A video camera equipped with a video compression system that uses a single-pass rate control algorithm with discrete cosine transform (DCT) to compress video data in real-time, reducing file size and ensuring compatibility with standard video editing software.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If computationally expensive image compression techniques are used, then video quality is improved, but processing time and hardware cost increase
Solution Approach 1:
The patent performs video compression during the initial capture phase rather than as a post-processing step. The compression algorithm is integrated into the camera's real-time processing pipeline, allowing compression to occur concurrently with video acquisition. This preliminary action eliminates the need for separate, time-consuming compression operations later.
Solution Approach 2:
The patent extracts and applies compression only to specific portions of video frames that require it, rather than uniformly compressing entire frames. By identifying and compressing only the necessary regions, the system reduces overall processing time while maintaining video quality where needed.
2Manufacturing precision
If high resolution video is recorded, then video quality is improved, but file size increases
Solution Approach 1:
The patent applies different compression strategies to different regions of video frames based on their importance. Critical regions maintain high resolution with minimal compression, while less important areas undergo more aggressive compression. This local differentiation reduces overall file size while preserving essential video quality.
Solution Approach 2:
The patent applies compression selectively rather than uniformly across all video data. By applying compression only where necessary to achieve acceptable quality, the system reduces file size without excessively degrading video quality in all areas.
3Productivity
If non-standard compression algorithms are used, then compression efficiency is improved, but compatibility with editing software decreases
Solution Approach 1:
The patent employs compression algorithms that produce output compatible with multiple video editing platforms and standards. By designing the compression system to adhere to widely-supported formats, the video files can be universally edited and processed across different software environments without requiring conversion.
Solution Approach 2:
Instead of using proprietary or highly optimized non-standard algorithms that sacrifice compatibility, the patent inverts the approach by prioritizing standard-compatible algorithms that achieve sufficient compression efficiency. This reversal of priorities ensures broad software compatibility while maintaining acceptable compression performance.
4Manufacturing precision
If video compression is performed in multiple passes, then compression quality is improved, but processing time increases
Solution Approach 1:
The patent performs essential compression operations during the initial video capture in a single pass, rather than requiring multiple subsequent passes. This preliminary compression achieves sufficient quality for most applications while maintaining real-time processing speeds.
Solution Approach 2:
The patent applies full compression quality only where necessary, using reduced-quality or simplified compression in areas where maximum quality is not critical. This partial application of full compression maintains acceptable overall quality while significantly reducing processing time.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution enables real-time video compression at high frame rates and resolutions, reducing file size while maintaining visual quality, and is compatible with DCT-based compression standards, thus simplifying the workflow and reducing hardware costs.
Implementation Method 1
a rate control algorithm operating with a discrete cosine transform ('DCT')
Data Source
AI summary
Embodiments provide a video camera that can be configured to compress video data in a manner that achieves a targeted output size in a computationally efficient manner. The video compression systems and methods can be used with DCT-based compression standards to include a rate control aspect. The rate controlled video compression methods can be configured to compress video data in real time and/or using a single pass. During compression of video data, the video compression systems and methods can modify compression parameters to achieve a targeted file size while maintaining relatively high visual quality of the compressed images.