Adaptive Streaming Bitrate Selection Based on Scene Complexity
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional adaptive bitrate streaming systems struggle to optimize media quality and minimize playback stalling by selecting bitrates that match available bandwidth, often resulting in inefficient use of bandwidth and suboptimal user experience due to high complexity scenes being encoded at bitrates higher than the user's available bandwidth.
Innovation Solution
A method that prioritizes media content items based on their complexity level and available bandwidth, selecting lower bitrate variants for low complexity scenes and higher bitrate variants for high complexity scenes, ensuring the average bandwidth is not exceeded, thereby improving user experience and reducing buffering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If higher bitrate variants are selected for all media content items, then media quality is improved, but bandwidth consumption increases and playback stalling occurs
Solution Approach 1:
The patent applies local quality by differentiating bitrate selection based on scene complexity. High complexity scenes receive higher bitrate variants to maintain quality, while low complexity scenes use lower bitrate variants to conserve bandwidth. This localized adaptation resolves the contradiction by avoiding uniform high-quality encoding across all content.
Solution Approach 2:
The system dynamically changes the bitrate parameter based on scene complexity characteristics. By analyzing scene complexity and adjusting the bitrate selection accordingly, the system optimizes the balance between quality and bandwidth consumption, preventing both quality degradation and unnecessary bandwidth usage.
2Loss of energy
If lower bitrate variants are selected to conserve bandwidth, then bandwidth efficiency is improved, but media quality deteriorates
Solution Approach 1:
The patent applies local quality by differentiating bitrate selection based on scene complexity. High complexity scenes receive higher bitrate variants to maintain quality, while low complexity scenes use lower bitrate variants to conserve bandwidth. This localized adaptation resolves the contradiction by avoiding uniform high-quality encoding across all content.
Solution Approach 2:
The system dynamically changes the bitrate parameter based on scene complexity characteristics. By analyzing scene complexity and adjusting the bitrate selection accordingly, the system optimizes the balance between quality and bandwidth consumption, preventing both quality degradation and unnecessary bandwidth usage.
3Manufacturing precision
If complex scenes are encoded at high bitrate, then visual quality is improved, but buffering increases during playback
Solution Approach 1:
The patent applies dynamics by making bitrate selection adaptive and flexible rather than static. The system continuously monitors available bandwidth and scene complexity, dynamically adjusting bitrate choices to match current network conditions and content requirements, thereby preventing buffering while maintaining quality.
Solution Approach 2:
The system dynamically changes the bitrate parameter based on scene complexity characteristics. By analyzing scene complexity and adjusting the bitrate selection accordingly, the system optimizes the balance between quality and bandwidth consumption, preventing both quality degradation and unnecessary bandwidth usage.
4Device complexity
If uniform bitrate ladder is used for all content items, then encoding simplicity is maintained, but bandwidth utilization is inefficient
Solution Approach 1:
The patent applies local quality by differentiating bitrate selection based on scene complexity. High complexity scenes receive higher bitrate variants to maintain quality, while low complexity scenes use lower bitrate variants to conserve bandwidth. This localized adaptation resolves the contradiction by avoiding uniform high-quality encoding across all content.
Solution Approach 2:
The system dynamically changes the bitrate parameter based on scene complexity characteristics. By analyzing scene complexity and adjusting the bitrate selection accordingly, the system optimizes the balance between quality and bandwidth consumption, preventing both quality degradation and unnecessary bandwidth usage.
Data Source
AI summary
Systems and methods for adaptive content streaming based on bandwidth are disclosed. According to one example method, content is requested for delivery. An indication of complexity of a plurality of media content items associated with the content is received. Based on the indication of complexity and an available bandwidth at the user device, at least one of the plurality media content items is selected and retrieved from the media server.


