Multi-Image Hardware Scaling for Real-Time Video Conferencing

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Solution Overview

Problem

In video conferencing scenarios, the processing of multiple participants' images is slow due to large data volumes and transmission delays, leading to inefficient use of computing resources and poor user experience.

Innovation Solution

An image processing device with a first memory and scaling components that perform scaling processing on images using hardware, determining image scaling factors to generate target images with uniform display ratios, reducing the need for software-based scaling and splicing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If software-based processing is used for multiple participants' images, then flexibility and adaptability are improved, but processing speed decreases and computing resource consumption increases

Engineering Contradiction:

ImproveflexibilityVSAvoidprocessing speed

Core Design Contradiction:

Adaptability or versatilityVSProductivity

Solution Approach 1:

The patent replaces software-based image processing with a hardware-based parallel processing system. Multiple scaling components (first scaling component, second scaling component, etc.) are implemented as hardware modules that operate simultaneously to process different participant images, eliminating the sequential processing bottleneck of software and achieving real-time processing speeds.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent divides the image processing system into multiple independent processing channels, each handling a specific participant's image. Each channel includes its own scaling component that operates independently, allowing parallel processing of multiple images simultaneously. This segmentation enables the system to maintain flexibility while achieving high processing throughput.

Inventive Principle:

Principle #1Segmentation

2Ease of operation

If software-based scaling and splicing is used, then processing flexibility is maintained, but data transmission delays increase and real-time performance deteriorates

Engineering Contradiction:

Improveprocessing flexibilityVSAvoiddata transmission delays

Core Design Contradiction:

Ease of operationVSLoss of time

Solution Approach 1:

The patent replaces software-based scaling and splicing operations with dedicated hardware components. The first scaling component performs scaling operations in hardware, and the splicing component combines processed images hardware-accelerated, eliminating the time-consuming software processing pipeline and reducing data transmission delays for real-time video conferencing.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Productivity

If hardware-based parallel processing is implemented, then processing speed and real-time performance are improved, but device complexity increases

Engineering Contradiction:

Improveprocessing speedVSAvoiddevice complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent divides the complex processing task into multiple independent scaling components, each handling a specific participant's image. This modular segmentation allows the system to achieve parallel processing capability while maintaining manageable complexity through standardized, reusable processing units that can be added or removed based on the number of participants.

Inventive Principle:

Principle #1Segmentation

4Adaptability or versatility

If multiple participants' images are processed simultaneously, then user experience is improved, but computing resource consumption increases

Engineering Contradiction:

Improveuser experienceVSAvoidcomputing resource consumption

Core Design Contradiction:

Adaptability or versatilityVSUse of energy by moving object

Solution Approach 1:

The patent replaces energy-intensive software-based processing with hardware-based processing that operates more efficiently. The multiple scaling components are implemented as dedicated hardware modules that process images in parallel with lower power consumption compared to software execution, enabling simultaneous processing of multiple participants while controlling resource usage.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20260080501A1Image processing device and method

Publication Date: 2026.03.19 SMARTER SILICON (SHANGHAI) TECH CO LTD

AI summary

An image processing device includes a first memory, the first memory being used to store to-be-processed data of a plurality of first images; a scaling control component, the scaling control component being configured to read the to-be-processed data of the plurality of first images from the first memory, determine an image scaling factor corresponding to each of the first images, and send the to-be-processed data of each of the first images and its corresponding image scaling factor to a scaling component; and the scaling component, the scaling component being configured to perform scaling processing on the to-be-processed data of the corresponding first image based on the image scaling factor to obtain a target image, the target image including each target object in the first image, each target object being displayed in the target image based on a target ratio.