Stereoscopic Video Encoding Matrix for Packet Loss Resilience
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Solution Overview
Problem
Current communication systems face challenges in transmitting stereoscopic video image data with high packet loss resilience and low delay, particularly in real-time applications like live video distribution and relay broadcasting.
Innovation Solution
The system processes stereoscopic video image data using a common encoding matrix for error correction, prioritizing packets based on their impact on image quality and employing FEC encoding in line block units to minimize delay and packet loss impact, while maintaining the stereoscopic effect through error concealment and interpolation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If separate encoding is performed for left and right eye images, then encoding flexibility is maintained, but packet loss resilience deteriorates
Solution Approach 1:
The patent combines left and right eye image data into a common encoding matrix for joint encoding. This merging approach allows the system to maintain encoding flexibility while improving packet loss resilience, as the combined structure enables more efficient error correction across both stereo images.
Solution Approach 2:
The encoding system is designed to handle multiple functions: it can encode left and right images separately when needed, or combine them into a common matrix for joint encoding. This multi-functionality allows the system to adapt to different transmission conditions while maintaining both flexibility and reliability.
2Reliability
If strong FEC encoding is applied to all packets, then packet loss resilience is improved, but transmission delay increases
Solution Approach 1:
The patent applies different levels of FEC encoding strength to different packets based on their importance. Critical packets receive stronger error correction, while less critical packets use lighter encoding. This local differentiation improves overall packet loss resilience without uniformly increasing transmission delay for all data.
Solution Approach 2:
Instead of applying full-strength FEC to all packets, the system applies partial FEC encoding selectively. This partial action approach provides sufficient error protection for critical data while minimizing the delay overhead, avoiding excessive encoding for all packets.
3Reliability
If priority-based FEC encoding is implemented, then packet loss resilience for critical data is improved, but system complexity increases
Solution Approach 1:
The system performs preliminary classification of packets into priority levels before encoding. By pre-identifying critical packets that require stronger protection, the system can apply appropriate FEC strength without complex real-time decision-making during transmission, thus improving reliability for critical data while managing system complexity.
Data Source
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AI summary
A video image data encoder comprises an input to receive stereoscopic image data. The stereoscopic image data includes first and second image data having chronological correspondence. An error correction encoding unit combines portions of the first image data and corresponding portions of the second image data from the input unit into a common encoding matrix. An error correcting code derived from the combined portions is added to the encoding matrix.