Video Compression Archiver Dynamic Storage Adaptation
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Solution Overview
Problem
Existing video image data compression methods often degrade image quality when compressing data to fit a finite storage medium, especially when storage capacity or recording time changes suddenly, such as during extended events like extra innings in a baseball game.
Innovation Solution
A video image data compression archiver that dynamically adjusts the frame size, frame rate, and average bit rate based on parameters like storage medium capacity, number of frames, and recording time to ensure optimal storage while maintaining image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If video image data is compressed to fit a finite storage medium, then the data can be stored in the recording medium, but the image quality degrades
Solution Approach 1:
The patent implements dynamic adjustment of compression parameters (quantization step size, frame rate, resolution) based on real-time monitoring of storage capacity and elapsed time. The controller continuously adapts the compression level to match the remaining storage space, transitioning from fixed compression to a dynamic system that responds to changing storage conditions, thereby optimizing both storage utilization and image quality preservation.
Solution Approach 2:
The system changes compression parameters (quantization step size, frame rate, resolution) based on the ratio of elapsed time to total recording time and remaining storage capacity. By dynamically adjusting these parameters, the system optimizes the balance between compression ratio and image quality, ensuring efficient storage while minimizing quality degradation.
2Manufacturing precision
If variable bit rate compression is used to control quality, then image quality can be adjusted, but the system complexity increases
Solution Approach 1:
The patent employs variable bit rate compression by dynamically adjusting compression parameters (quantization step size, frame rate, resolution) based on the calculated ratio of elapsed time to total recording time. This allows flexible image quality control while maintaining a relatively simple controller structure that uses straightforward calculations and lookup tables for parameter adjustment.
3Device complexity
If compression parameters are fixed, then the encoding process is simple, but the system cannot adapt to sudden changes in storage capacity or recording time
Solution Approach 1:
The patent transforms the encoding process from static to dynamic by continuously monitoring storage capacity and elapsed time, then adjusting compression parameters accordingly. The controller calculates the ratio of elapsed time to total recording time and uses this information to dynamically modify quantization step size, frame rate, and resolution, enabling the system to adapt to sudden changes in storage capacity or recording duration while maintaining manageable complexity through systematic parameter adjustment.
Data Source
AI summary
A video image data compression archiver is composed of an encoder and an encoder controller. The encoder compresses non-compressed video image data to generate compressed video image data. The encoder controller is connected to said encoder to control a frame size, a frame rate, and an average bit rate of said compressed video image data in response to at least one parameter selected from a group consisting of a number of frames of said non-compressed video image data, a recording time of said non-compressed video image data, and a free area of a recording medium for recording said compressed video image data.