Video Resolution Enhancement via Dimensionality Reduction
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Solution Overview
Problem
Existing video systems face degradation in video quality due to low light conditions and compression, leading to choppy movement and loss of video information, resulting in lower quality reproduced video.
Innovation Solution
The method involves producing vectors from video frames, dimensionally reducing them, and mapping them to high dimensional vectors using a model that includes image information of the object or similar objects, to increase the resolution of video frames through interpolation or extrapolation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If video is compressed to save bandwidth, then bandwidth usage is reduced, but video quality is degraded due to loss of video information
Solution Approach 1:
The system performs preliminary dimensionality reduction on video frame vectors before compression, creating a compact low-dimensional representation that preserves essential information. This preliminary processing enables more efficient compression while maintaining video quality by retaining the most significant features in a reduced space.
Solution Approach 2:
The patent transforms video data from high-dimensional pixel space to low-dimensional feature space through dimensional reduction, then maps back to high-dimensional space with enhanced resolution. This dimensionality transformation allows the system to compress video efficiently while preserving and even enhancing video information quality.
2Illumination intensity
If slow shutter speed is used in low light conditions, then image brightness is improved, but frame rate is reduced causing choppy movement
Solution Approach 1:
The system performs preliminary dimensional reduction on consecutive video frames to extract essential motion and feature information. By processing frames in reduced dimensionality, the system can generate additional interpolated frames at higher frame rates without requiring increased exposure time, thus maintaining both brightness and smooth motion.
Solution Approach 2:
The patent creates interpolated video frames by mapping low-dimensional vectors back to high-dimensional space and synthesizing intermediate frames between original frames. This copying and synthesis of additional frames increases the perceived frame rate and smooths motion without requiring slower shutter speeds.
3Manufacturing precision
If resolution of video frames is increased, then video quality is improved, but data processing complexity and computational requirements increase
Solution Approach 1:
The patent reduces video data to low-dimensional vectors for processing, then maps these compact representations back to high-dimensional space to generate enhanced resolution frames. This dimensionality transformation approach allows the system to achieve high resolution output while maintaining relatively simple processing by working in the compressed low-dimensional space during intermediate steps.
Solution Approach 2:
The system changes the dimensional parameter of video data representation, transforming from high-dimensional pixel arrays to low-dimensional feature vectors for efficient processing. This parameter transformation enables resolution enhancement while reducing computational complexity by performing operations in the lower-dimensional space before reconstructing high-resolution frames.
Data Source
AI summary
A method and apparatus for increasing resolution of video images are disclosed. Vectors may be produced based on a sequence of video frames. Low dimensional vectors may be produced from the vectors. Groups of at least two of the low dimensional vectors may be interpolated to produce respective low dimensional interpolated vectors. Each of the low dimensional vectors and the interpolated low dimensional vectors may be mapped, according to a model, to obtain dimensionally increased image information. Aspects of the image information may be included in corresponding video frames and corresponding interpolated video frames.