Mixed Latency Video System for Image Quality and Processing Speed

Solution Overview

Problem

Existing video processing systems face challenges in balancing image quality and processing efficiency, as high-latency processing produces higher quality images but is inefficient for capturing rapid changes, while low-latency processing captures more instances of change but at the cost of image quality.

Innovation Solution

A video system that processes captured images to generate a composite image using mixed latencies, combining low-latency and high-latency image frames based on detected changes in the video stream, allowing for improved image quality in still regions and reduced processing demands in dynamic regions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If high-latency image processing is used, then image quality is improved, but processing speed and frame rate decrease

Engineering Contradiction:

Improveimage qualityVSAvoidprocessing speed

Core Design Contradiction:

Manufacturing precisionVSProductivity

Solution Approach 1:

The image is divided into multiple regions (first region with motion, second region relatively still). Different latency processing modes are applied to different regions: low-latency processing for the first region and high-latency processing for the second region. This segmentation allows the system to optimize for both speed and quality in different areas simultaneously.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

Different quality levels are applied to different regions of the image based on their motion characteristics. The relatively still second region receives high-latency processing for superior image quality, while the motion-containing first region receives low-latency processing to capture temporal changes. This local quality differentiation resolves the contradiction between overall image quality and processing speed.

Inventive Principle:

Principle #3Local quality

2Productivity

If low-latency image processing is used, then processing speed and frame rate improve, but image quality deteriorates

Engineering Contradiction:

Improveprocessing speedVSAvoidimage quality

Core Design Contradiction:

ProductivityVSManufacturing precision

Solution Approach 1:

The image is divided into multiple regions (first region with motion, second region relatively still). Different latency processing modes are applied to different regions: low-latency processing for the first region and high-latency processing for the second region. This segmentation allows the system to optimize for both speed and quality in different areas simultaneously.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

Different quality levels are applied to different regions of the image based on their motion characteristics. The relatively still second region receives high-latency processing for superior image quality, while the motion-containing first region receives low-latency processing to capture temporal changes. This local quality differentiation resolves the contradiction between overall image quality and processing speed.

Inventive Principle:

Principle #3Local quality

3Manufacturing precision

If high-latency processing is used for entire image, then image quality is improved, but computational resources and processing time are excessive for static regions

Engineering Contradiction:

Improveimage qualityVSAvoidcomputational resources

Core Design Contradiction:

Manufacturing precisionVSUse of energy by moving object

Solution Approach 1:

The image is divided into multiple regions (first region with motion, second region relatively still). Different latency processing modes are applied to different regions: low-latency processing for the first region and high-latency processing for the second region. This segmentation allows the system to optimize for both speed and quality in different areas simultaneously.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

Different quality levels are applied to different regions of the image based on their motion characteristics. The relatively still second region receives high-latency processing for superior image quality, while the motion-containing first region receives low-latency processing to capture temporal changes. This local quality differentiation resolves the contradiction between overall image quality and processing speed.

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS20250191128A1Mixed Latency Video System for Generating Images

Publication Date: 2025.06.12 KARL STORZ SE & CO KG

AI summary

A video camera for displaying a video image using a mixed latency. In one aspect, the video image is a composite of low-latency and high-latency images, wherein the low-latency images are video images with motion and the high-latency images are video images that are still. In another aspect, the video camera detects a motion in the video image and transmits a low-latency image when the video image includes motion and a high-latency image when the video image is still.