Video Encoding Bitrate Optimization for Text Regions

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing video encoding methods use the same parameters for all content types, leading to inefficient encoding of text-based scenes like titles and credits, resulting in suboptimal bitrate and encoding times.

Innovation Solution

Implementing optimized reduced bitrate encoding by using different encoding parameters for text-based content, such as titles and credits, which involves analyzing video frames to detect text regions and applying specific encoding settings like increased quantization parameters and transform skip settings to achieve better compression ratios and reduced bandwidth consumption.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If the same encoding parameters are used for all video content, then the encoding process is simple and consistent, but the encoding efficiency is suboptimal for text-based scenes

Engineering Contradiction:
Improveencoding efficiencyVSAvoidencoding process complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent applies different encoding parameters to different regions of video frames based on content type. Text-based regions (titles, credits) are identified and encoded with optimized parameters (higher quantization, transform skip) while other regions use standard parameters, achieving local optimization for encoding efficiency

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The encoding system dynamically adjusts parameters based on real-time analysis of video frame content. The encoder detects text-based scenes and adapts encoding settings accordingly, transitioning between different encoding modes rather than using static parameters throughout

Inventive Principle:
Principle #15Dynamics

2Reliability

If high bitrate encoding is used for all video content, then visual quality is maintained, but bandwidth consumption increases

Engineering Contradiction:
Improvevisual qualityVSAvoidbandwidth consumption
Core Design Contradiction:
ReliabilityVSLoss of energy

Solution Approach 1:

The patent applies different bitrate allocation strategies to different content regions. Text-based regions are encoded with reduced bitrate using optimized parameters that maintain visual quality for text while reducing overall bandwidth consumption, whereas other regions receive appropriate bitrate allocation

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The system changes encoding parameters (quantization parameter, transform skip mode) specifically for text-based content to achieve better compression ratios. These parameter changes enable reduced bitrate encoding for text regions while maintaining acceptable visual quality

Inventive Principle:
Principle #35Parameter changes

3Productivity

If standard encoding parameters are used for text-based content, then encoding is straightforward, but compression ratio is suboptimal

Engineering Contradiction:
Improvecompression ratioVSAvoidencoding parameter complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent identifies text-based regions and applies specialized encoding parameters (higher quantization values, transform skip modes) specifically to these regions. This local application of optimized parameters achieves superior compression ratios for text content without affecting other video regions

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The system performs preliminary analysis of video frames to detect text-based content before encoding. By identifying text regions in advance, the encoder can pre-configure optimized parameters for these regions, achieving better compression without real-time complexity

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS11496738B1Optimized reduced bitrate encoding for titles and credits in video content
Publication Date: 2022.11.08 AMAZON TECH INC
  • US11496738B1 patent drawing
  • US11496738B1 patent drawing
  • US11496738B1 patent drawing

AI summary

Embodiments include systems, methods, and computer-readable media for optimized reduced bitrate encoding for text-based content in video frames. Example methods may include determining that a first segment of video content includes a content scene, determining that a second segment of the video content includes text, and determining a first encoder configuration to encode the first segment of video content, where the first encoder configuration includes a first encoding parameter setting. Example methods may include determining a second encoder configuration to encode the second segment of the video content, where the second encoder configuration includes a second encoding parameter setting, encoding the first segment using the first encoder configuration, and encoding the second segment using the second encoder configuration. The first segment may be encoded at a first bitrate that is greater than a second bitrate at which the second segment is encoded.