Variable Sampling Video Playback System
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Solution Overview
Problem
Current digital image and video technologies suffer from fixed and uniform stepped intervals, leading to reduced quality in playback and projection, especially at high frequencies, due to the inability to accurately restore the original waveform of captured phenomena.
Innovation Solution
The use of computer hardware to generate images with dynamic and fixed representational elements, metadata components, and relational aspects, allowing for dynamic modeling and interaction, along with element seeding or borrowing, to create continuous changes throughout an image stream, mimicking analog media's calculus derivatives and integrals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If digital formats with fixed and uniform stepped intervals are used, then data storage and computation are simplified, but playback quality deteriorates especially at high frequencies
Solution Approach 1:
The patent applies dynamics by transitioning from fixed digital intervals to variable sampling intervals that adapt to signal frequency. The system dynamically adjusts the time between samples based on the detected frequency content, using shorter intervals for high frequencies and longer intervals for low frequencies, thereby maintaining playback quality while managing data complexity
Solution Approach 2:
The patent implements parameter changes by varying the sampling interval parameter according to signal characteristics. The system changes the temporal parameter (sampling interval) dynamically based on frequency detection, allowing the playback system to accurately represent both high and low frequency signals without the uniform constraints of traditional digital formats
2Manufacturing precision
If digital-to-analog converters with interpolated data are used, then stepped intervals are smoothed, but data degradation occurs and original waveform cannot be accurately restored
Solution Approach 1:
The patent applies preliminary action by performing variable-rate sampling during the capture phase that anticipates the needs of playback. Instead of uniformly sampling and then attempting to restore the waveform through interpolation, the system pre-adapts the sampling intervals to match the signal's frequency characteristics, preserving the original waveform information from the outset
Solution Approach 2:
The patent implements a faithful copying approach by using sampling intervals that accurately represent the original signal's temporal structure. The variable sampling rate creates a more accurate copy of the original waveform by adapting to its frequency content, eliminating the need for degradative interpolation while maintaining waveform fidelity
3Device complexity
If uniform digital sampling intervals are used, then system complexity is reduced, but high frequency representation becomes incomplete
Solution Approach 1:
The patent applies dynamics by making the sampling interval variable rather than fixed. The system dynamically adjusts sampling rates based on detected frequency content, using higher sampling rates for high frequency signals and lower rates for low frequency signals, thereby accurately capturing high frequency information without uniformly increasing complexity across all frequencies
Solution Approach 2:
The patent implements local quality by applying different sampling intervals to different frequency ranges. Instead of using a single uniform sampling rate for all frequencies, the system applies locally optimized sampling rates matched to specific frequency bands, ensuring high frequency accuracy where needed while maintaining system efficiency elsewhere
Data Source
AI summary
Techniques for efficiently capturing, generating and distributing more realistic images and video are provided. Among other aspects of the invention, a system is provided that includes tags that display dynamic image elements on a display with the aid of a physics model. In other aspects, the system selects among available physics models and virtual objects that serve as potential subjects for rendering dynamic image elements, based on system resource costs and resolution standards. In still other aspects, a new image file format contains embedded physical model and virtual object data for rendering images and video.