Native Resolution Analyzer for Video Sequences
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Solution Overview
Problem
Existing techniques fail to accurately determine the native resolution of video sequences, leading to compromised visual quality due to down-sampling and up-sampling operations, which affects resource management and visual quality perception.
Innovation Solution
A computer-implemented method using a native resolution analyzer that processes video sequences to identify sampling operations by generating scene spectra and computing native resolutions, ensuring accurate representation of visual quality and optimizing resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If down-sampling operations are applied to reduce memory and bandwidth requirements, then resource consumption is reduced, but visual quality is compromised due to information loss
Solution Approach 1:
The patent applies preliminary action by performing down-sampling operations during the video encoding and storage phase before playback. The video is intentionally stored at a lower resolution than the native camera resolution to reduce memory and bandwidth requirements. The system accepts that visual quality will be compromised but manages this trade-off by optimizing the down-sampling process and using the determined native resolution to tune playback parameters, thereby minimizing quality loss while achieving resource reduction goals.
2Adaptability or versatility
If up-sampling operations are applied to increase compatibility with higher resolution equipment, then adaptability is improved, but visual quality deteriorates due to approximate reconstruction
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting playback parameters based on the determined native resolution of the video content. Rather than always performing up-sampling to match display resolution, the system uses the native resolution information to optimize playback settings, such as scaling factors and rendering parameters. This approach maintains compatibility with various display resolutions while minimizing quality degradation by avoiding unnecessary up-sampling operations and tuning the playback process to the actual content resolution.
3Manufacturing precision
If encoder is configured to optimize for higher resolution than native resolution, then visual quality is improved, but resource consumption increases dramatically
Solution Approach 1:
The patent applies feedback by implementing a native resolution determination process that analyzes video content to identify its actual resolution characteristics. This determined native resolution then feeds back into the playback and rendering system to optimize encoding and processing parameters. By using this feedback loop, the system avoids the waste of configuring encoders for higher resolutions than the content actually requires, thereby maintaining visual quality while dramatically reducing resource consumption associated with encoding and processing at unnecessarily high resolutions.
Data Source
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AI summary
In one embodiment of the present invention, a native resolution analyzer generates a log-magnitude spectrum that elucidates sampling operations that have been performed on a scene. In operation, the native resolution analyzer performs a transform operation of a color component associated with a frame included in the scene to generate a frame spectrum. The native resolution analyzer then normalizes the magnitudes associated with the frame spectrum and logarithmically scales the normalized magnitudes to create a log-magnitude frame spectrum. This two dimensional log-magnitude frame spectrum serves as a frequency signature for the frame. More specifically, patterns in the log-magnitude spectrum reflect re-sampling operations, such as a down-sampling and subsequent up-sampling, that may have been performed on the frame. By analyzing the log-magnitude spectrum, discrepancies between the display resolution of the scene and the lowest resolution with which the scene has been processed may be detected in an automated fashion.