Video Frame Referencing for Low-Latency Reliable Compression
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Solution Overview
Problem
Conventional video compression and streaming technologies face issues with latency and bandwidth inefficiencies due to reliance on prior frames, leading to frame drops and corruption, which can significantly impact latency-sensitive applications like online gaming and autonomous driving.
Innovation Solution
A video compression method that uses confirmed frames as references, encoding subsequent frames as differentials relative to the last successfully received frame, minimizing data loss by maintaining a sliding window of confirmed frames for optimal decoding without noticeable latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If conventional video compression uses prior frames as references, then bandwidth is reduced through differential encoding, but reliability deteriorates when frames are dropped causing corruption and latency
Solution Approach 1:
The system sends redundancy data for each frame that can serve as a backup reference. When a frame is successfully received, its redundancy data is discarded. When a frame is lost, the redundancy data from the previous frame is used instead, cushioning against the frame drop without requiring a full key frame retransmission.
Solution Approach 2:
The system dynamically changes the reference frame parameter based on reception status. Instead of always using the immediately prior frame, the encoder selects from multiple possible reference frames (current or previous) depending on which frames were successfully received, optimizing both bandwidth usage and decoding reliability.
2Reliability
If key frames are sent frequently to correct frame drops, then reliability improves, but latency increases due to generation and transmission time
Solution Approach 1:
Instead of sending complete key frames for every potential frame drop, the system sends partial redundancy data that is sufficient for most common frame drop scenarios. This partial action (sending only essential backup data rather than full frames) reduces the time and bandwidth overhead while maintaining adequate recovery capability.
Solution Approach 2:
The reference frame data is segmented into essential components and optional redundancy components. The system transmits the essential components regularly and adds redundancy segments selectively, allowing for faster transmission and reduced latency while maintaining the ability to correct frame drops.
3Loss of energy
If differential encoding relative to immediately prior frame is used, then compression efficiency is maximized, but vulnerability to frame drops increases
Solution Approach 1:
The system introduces an intermediary selection mechanism that chooses between different reference frames based on reception status. This intermediary layer (the frame selection logic) mediates between the ideal compression scenario (using the most recent frame) and the robustness scenario (using an earlier confirmed frame), achieving both goals under different conditions.
Data Source
AI summary
Systems and methods are presented for reliable transmission of time-sensitive data. In particular, various embodiments provide for the generation of compressed sequential data, where individual instances of a sequence represent differentials from prior instances in that sequence. In order to reduce an amount of data that needs to be transmitted, instances of data (such as individual video frames) can be provided using a prior video frame as a reference, sending only data for those pixel locations where the pixel value differs from the reference frame. A reference frame can include a previously-received and successfully-decoded frame, in order to minimize the impact of dropped, incomplete, or corrupted frames. In order to further reduce data transmission requirements, a reference frame can be selected which is determined to be optimal for the current frame, such as may represent a least amount of data to be transmitted for a given frame.