Sub-Picture Adaptive Resolution Change for Bandwidth-Aware Video Coding
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Solution Overview
Problem
Existing video coding technologies struggle to efficiently adapt to varying network conditions and user device capabilities, leading to suboptimal video quality and resource utilization in communication systems.
Innovation Solution
Implementing methods and apparatus for adaptive resolution change (ARC) in video coding, utilizing sub-picture adaptive resolution change based on supplemental enhancement information (SEI) messages and inter-layer prediction to dynamically adjust video resolution according to network conditions and device capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If video resolution is increased to improve video quality, then video quality is improved, but network bandwidth consumption increases
Solution Approach 1:
The patent applies local quality by differentiating resolution requirements across different spatial regions (sub-pictures) and temporal segments of video content. Important regions such as the viewport center receive high-resolution encoding while peripheral regions use lower resolution, and resolution is dynamically adjusted across different time segments based on content importance and network conditions, thereby improving overall video quality while reducing total bandwidth consumption.
Solution Approach 2:
The patent implements dynamics through adaptive resolution change mechanisms that dynamically adjust video resolution based on real-time network conditions, device capabilities, and content characteristics. The system transitions between different resolution levels (e.g., from first resolution to second resolution) without requiring full re-encoding, allowing continuous adaptation to changing conditions and optimizing the balance between video quality and bandwidth usage.
2Productivity
If adaptive resolution change is implemented to optimize resource utilization, then resource utilization is improved, but system complexity increases
Solution Approach 1:
The patent applies segmentation by dividing video content into distinct sub-pictures or spatial regions that can be independently encoded at different resolutions. This segmentation allows the system to manage complexity by handling smaller, manageable units rather than processing entire video frames uniformly, enabling efficient resource allocation while maintaining manageable system complexity through modular processing.
Solution Approach 2:
The patent utilizes parameter changes by modifying encoding parameters (resolution levels, bitrates) dynamically based on network conditions and device capabilities. Rather than implementing complex architectural changes, the system optimizes resource utilization by adjusting existing encoding parameters, thereby improving productivity while keeping system complexity relatively low through parameter optimization rather than structural transformation.
3Adaptability or versatility
If sub-picture adaptive resolution change is used to match device capabilities, then adaptability is improved, but processing complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-segmenting video content into sub-pictures and pre-determining resolution requirements based on device capabilities before actual transmission. This advance preparation allows the system to adapt to different device capabilities without increasing processing complexity during real-time playback, as the adaptive resolution decisions are made in advance and stored for efficient retrieval and delivery.
Data Source
AI summary
Methods and apparatus relate to picture and video coding in communication systems are provided. Included therein is a method comprising determining one or more layers associated with a parameter set, generating a syntax element including an indication indicating whether the one or more layers associated with the parameter set are independently coded, and generating a message including the syntax element.