Video Unit Content Detection for Adaptive Bitstream Conversion

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing video coding technologies, such as MPEG-2, MPEG-4, ITU-T H.263, ITU-T H.264/MPEG-4 AVC, and ITU-T HEVC, require improvements in coding quality for video encoding/decoding.

Innovation Solution

A method for video processing that determines the content type of a video unit based on sample values and performs conversions accordingly, enabling adaptive video content detection and control of coding tools to enhance coding quality.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If conventional video coding technologies are used, then basic video encoding/decoding is achieved, but coding quality is insufficient

Engineering Contradiction:

Improvecoding qualityVSAvoidadaptive content detection capability

Core Design Contradiction:

Manufacturing precisionVSAdaptability or versatility

Solution Approach 1:

The patent implements dynamic adaptation by detecting video content characteristics (texture complexity, motion intensity, edge density) and adjusting coding parameters accordingly. The system transitions from static coding parameters to dynamic parameter adjustment based on local content analysis, enabling coding quality improvement without sacrificing adaptability.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The patent applies different coding strategies to different regions of the video based on local content characteristics. By dividing the video into blocks and analyzing each block's texture complexity, motion intensity, and edge density independently, the system applies optimized coding parameters locally rather than uniformly, thereby improving overall coding quality while maintaining adaptability.

Inventive Principle:

Principle #3Local quality

2Manufacturing precision

If uniform coding parameters are applied to all video content, then device complexity is reduced, but coding quality cannot be optimized for different content types

Engineering Contradiction:

Improvecoding qualityVSAvoidcontent detection and adaptive control complexity

Core Design Contradiction:

Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent segments the video into smaller blocks and analyzes specific content characteristics (texture complexity, motion intensity, edge density) for each block. This segmentation approach enables targeted coding optimization without requiring complex global analysis, balancing coding quality improvement with manageable device complexity.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent changes coding parameters dynamically based on detected content characteristics. By adjusting parameters such as transform block size, prediction mode, and quantization strength according to measured texture complexity, motion intensity, and edge density, the system achieves coding quality optimization without implementing overly complex adaptive control mechanisms.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS20250343914A1Method, apparatus, and medium for video processing

Publication Date: 2025.11.06 DOUYIN VISION CO LTD

AI summary

Embodiments of the present disclosure provide a solution for video processing. A method for video processing is proposed. The method comprises: determining, for a conversion between a current video unit of a video and a bitstream of the video, a content type of the current video unit based on values of samples associated with the current video unit; and performing the conversion based on the content type.