Video Transport Packet Visibility Prediction
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Solution Overview
Problem
Existing video transport systems face challenges in maintaining video quality due to packet loss, which affects user experience and network throughput, as current quality assessment metrics do not accurately correlate with viewer experience.
Innovation Solution
A method and system that predict the visibility of packet loss impairment to viewers by analyzing scene information, such as camera motion and proximity to scene changes, allowing for selective packet dropping to reduce network traffic while maintaining quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If packet retransmission is performed to maintain video quality, then video quality is improved, but network throughput deteriorates
Solution Approach 1:
The patent applies local quality by differentiating packet importance based on scene information. Packets containing critical scene change data are prioritized for retransmission while less critical packets are dropped. This selective approach maintains video quality where it matters most (at scene transitions) while reducing overall retransmission burden on the network, thus resolving the contradiction between video quality and throughput.
Solution Approach 2:
The system dynamically changes the retransmission parameter based on scene analysis. When scene changes are detected, the retransmission threshold is lowered to preserve quality; during static scenes, the threshold is raised to allow packet dropping for throughput improvement. This adaptive parameter adjustment resolves the contradiction by making retransmission behavior context-dependent rather than uniform.
2Reliability
If all packets are transmitted to ensure quality, then video quality is maintained, but network congestion increases
Solution Approach 1:
The patent extracts and removes redundant packets from the transmission stream based on scene information analysis. Packets that contain visually imperceptible or less important data (such as packets during static scenes or non-critical frames) are identified and dropped. This extraction of unnecessary data reduces network traffic quantity while maintaining perceived video quality, resolving the contradiction between quality and traffic volume.
Solution Approach 2:
Instead of transmitting all packets uniformly, the system applies partial action by selectively transmitting only the necessary subset of packets. Scene change detection identifies which packets are essential for quality perception, and only those packets are prioritized for transmission. This partial transmission approach reduces overall network traffic while maintaining quality where it matters, resolving the contradiction between traffic volume and quality.
3Reliability
If packet loss recovery is performed, then video quality is improved, but user experience deteriorates due to reduced throughput
Solution Approach 1:
The patent applies local quality by focusing recovery efforts on packets that contain scene change information, which are most critical for user experience. By identifying and prioritizing these specific packets based on scene analysis, the system maintains perceived quality during important moments while allowing less critical packet loss during static scenes. This selective recovery approach improves user experience without requiring comprehensive packet recovery, resolving the contradiction between quality and user experience.
Data Source
AI summary
A method and apparatus for managing video transport is disclosed. A system that incorporates teachings of the present disclosure may include, for example, a server having a controller to predict visibility to a viewer of packet loss impairment for communicated video content based at least in part on scene information for one or more packets of the video content. Other embodiments are disclosed.