Intelligent Video Encoding with Dynamic Bitrate and ROI Control

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Solution Overview

Problem

Existing intelligent encoding technologies lack flexibility in adapting to different scenarios and do not effectively manage dynamic bit rates based on scene complexity, leading to inefficiencies in bandwidth and storage requirements.

Innovation Solution

An intelligent encoding method that utilizes intelligent encoding information including maximum and minimum target bit rates, motion and texture complexities, and regions of interest to dynamically adjust bit rates, frame rates, and encoding modes, enhancing flexibility and preserving image quality.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If existing intelligent encoding schemes are used with constant bit rate (CBR) control or variable bit rate (VBR) control, then encoding can be performed, but the system lacks flexibility in adapting to different scenarios and scene complexities

Engineering Contradiction:

Improveflexibility in adapting to different scenariosVSAvoidencoding system complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements dynamic bit rate control that adjusts encoding parameters in real-time based on scene complexity assessment. The system transitions from static CBR/VBR modes to a dynamic framework where bit rate, frame rate, and other encoding parameters are continuously adapted according to motion complexity, texture complexity, and region of interest detection, thereby achieving scenario adaptability without excessive system complexity

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes multiple encoding parameters simultaneously including target bit rate, frame rate, and image group duration based on scene characteristics. By modifying these parameters dynamically according to motion complexity, texture complexity, and ROI identification, the system achieves adaptability across different encoding scenarios while maintaining manageable complexity through integrated control

Inventive Principle:

Principle #35Parameter changes

2Manufacturing precision

If higher bit rates are used to maintain video quality, then visual quality is preserved, but bandwidth consumption and storage space increase

Engineering Contradiction:

Improvevideo qualityVSAvoidbandwidth consumption

Core Design Contradiction:

Manufacturing precisionVSLoss of energy

Solution Approach 1:

The patent applies different encoding qualities to different regions of the video frame based on region of interest (ROI) detection. High-bitrate encoding is applied only to identified ROI areas that require visual fidelity, while non-ROI areas use lower bitrates. This local differentiation maintains overall video quality perception while significantly reducing total bandwidth consumption and storage requirements

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The system applies encoding resources partially and selectively rather than uniformly across the entire video stream. By identifying and prioritizing encoding efforts on critical regions (ROI) and key temporal moments based on motion and texture complexity, the system achieves acceptable video quality with reduced overall bit rate, thereby lowering bandwidth consumption without excessive quality loss

Inventive Principle:

Principle #16Partial or excessive action

3Manufacturing precision

If more encoding resources are allocated to complex scenes, then visual quality is maintained, but bandwidth and storage requirements increase

Engineering Contradiction:

Improvevisual quality in complex scenesVSAvoidstorage space required

Core Design Contradiction:

Manufacturing precisionVSQuantity of substance

Solution Approach 1:

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The system dynamically adjusts multiple encoding parameters including bit rate, frame rate, and image group duration based on scene complexity assessment. By modifying these parameters adaptively according to motion complexity, texture complexity, and ROI identification, the system maintains visual quality in complex scenes while optimizing storage efficiency through reduced overall data volume

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS12483709B2Intelligent encoding method and system, and electronic device

Publication Date: 2025.11.25 FUZHOU ROCKCHIP SEMICON

AI summary

An intelligent encoding method, an intelligent encoding system, and an electronic device are provided. The intelligent encoding method comprises obtaining intelligent encoding information, wherein the intelligent encoding information comprises a maximum target bit rate, a minimum target bit rate, a motion complexity, a texture complexity, and a region of interest; and encoding an input source of an encoder based on the intelligent encoding information. The above intelligent encoding method has strong flexibility.