Multidimensional Video Processing Bandwidth Reduction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current video transmission technologies face high bandwidth requirements due to progressive scan video signals, which are not efficiently compressible, leading to increased data loads that overwhelm communication channels, while interlaced standards, though reducing bandwidth, compromise image quality with artifacts.
Innovation Solution
Multidimensional video processing that preprocesses signals in horizontal, vertical, and temporal dimensions to reduce information, generating information-reduced signals and support signals, allowing for the reconstruction of full video signals with reduced bandwidth requirements without degrading image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If progressive scan video signal is used, then image quality is improved and interlace artifacts are eliminated, but bandwidth requirements increase by a ratio of two compared to interlaced standards
Solution Approach 1:
The video signal is segmented into two separate signals: an information-reduced video signal containing essential visual information and support signals containing the difference between original and simulated filtered components. This segmentation allows the main visual information to be transmitted with reduced bandwidth while the support signals restore the full quality at the receiver end.
Solution Approach 2:
A preprocessor acts as an intermediary between the original video signal and the transmission channel. It generates the information-reduced signal and support signals, enabling efficient compression while preserving the ability to reconstruct the full-quality progressive scan signal at the destination.
2Quantity of substance
If interlaced video standard is used, then bandwidth requirements are reduced by a ratio of two, but image quality deteriorates due to interlace artifacts such as line twitter, serrations, and flicker
Solution Approach 1:
The support signals contain the difference information that copies the missing filtered components. At the receiver end, these support signals are combined with simulated filtered components generated from the information-reduced signal, effectively copying back the high-frequency information that was removed during compression, thus restoring image quality without requiring full bandwidth transmission.
3Manufacturing precision
If digital compression systems process progressive scan video signals, then acceptable image quality is maintained, but high bit count (large bandwidth) is required which overwhelms communication channels
Solution Approach 1:
The preprocessor extracts and separates the filtered components from the video signal, creating an information-reduced signal that contains only the essential low-frequency information. The high-frequency filtered components are represented efficiently through support signals that contain only the difference information, significantly reducing the total data load while maintaining the ability to reconstruct the full-quality signal.
4Manufacturing precision
If broadcasters move to higher scan rates (4K) or higher frame rates (120 Hz), then image quality and refresh rate are improved, but bandwidth requirements increase further beyond current channel capabilities
Solution Approach 1:
The invention transforms the problem from transmitting all video data in one dimension (full bandwidth) to transmitting data across two dimensions: the information-reduced signal containing temporal and spatial correlations, and the support signals containing the residual difference information. This dimensional transformation enables efficient representation of high-resolution, high-frame-rate video within limited bandwidth channels.
Data Source
AI summary
A method and system for multidimensional video processing comprises preprocessing a video signal in at least two of horizontal, vertical and temporal dimensions of the video signal to reduce an amount of information of the video signal to obtain an information-reduced signal and filtered components that are separated from the video signal; and using the information-reduced signal to generate simulated filtered components, and generating support signals based on a difference between the filtered components and the simulated filtered components.