Video Encoding Strategy Reuse for Repeating Frame Sequences
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Solution Overview
Problem
Existing video encoding methods face challenges in real-time encoding environments due to high bandwidth usage and poor picture quality, particularly when dealing with sequences that contain repeating elements, which are encoded inefficiently.
Innovation Solution
A machine learning-based system identifies patterns in video frames, simulates various encoding strategies, and selects the best strategy for each sequence based on previous encounters, using a saved encoding strategy for similar content to enhance efficiency and quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If real-time video encoding is used, then encoding speed is improved, but picture quality deteriorates and bandwidth usage increases
Solution Approach 1:
The system performs preliminary encoding of video frames using multiple different encoding strategies in advance, stores the encoded versions, and then selects the best encoding for reproduction. This preliminary action allows high-quality encoding without real-time processing constraints, resolving the contradiction between encoding speed and picture quality.
Solution Approach 2:
The system creates multiple copies of the encoded video using different encoding strategies (e.g., H.264, H.265, VP9) and stores them for later selection. By copying the encoding process multiple times with different parameters, the system can select the optimal quality without re-encoding in real-time, thus improving picture quality while maintaining encoding speed.
2Speed
If real-time video encoding is used, then encoding speed is improved, but bandwidth usage increases
Solution Approach 1:
The system pre-encodes video frames using multiple strategies and stores them, eliminating the need for real-time encoding during transmission. This preliminary action reduces bandwidth usage during live streaming while maintaining encoding speed through efficient selection from pre-computed options.
Solution Approach 2:
The system changes encoding parameters (compression level, quality settings, codec type) to optimize the balance between encoding speed and bandwidth usage. By adjusting these parameters and pre-computing multiple versions, the system can select the optimal parameter set that minimizes bandwidth while maintaining acceptable encoding speed.
3Manufacturing precision
If multiple encoding strategies are tested, then encoding quality is improved, but processing time increases
Solution Approach 1:
The system performs the time-consuming task of testing multiple encoding strategies in advance during off-peak times or during initial encoding, then stores the results for quick retrieval during actual streaming. This preliminary action separates the quality optimization process from the real-time transmission process, improving encoding quality without increasing real-time processing time.
Solution Approach 2:
The system creates multiple encoded versions of the video using different strategies and stores them for rapid selection. By copying the encoding process multiple times during training or initial processing, the system can quickly retrieve and select the best encoding without re-testing all strategies in real-time, thus improving quality while minimizing processing time during actual use.
Data Source
AI summary
Systems and methods for enhanced video encoding identify patterns in sequences of raw digital video frames to extract features and identify the type of content represented by the extracted features. The system simulates many outcomes of encoding the sequence of digital video frames by using various different encoding strategies to find the relative best encoding strategy for each sequence of frames. As the encoder processes video, it passes digital video frames to a modeling system which determines whether the video, or video having that same type of content, has been previously observed by the system. The system then selectively applies a saved encoding strategy that had been determined by the system to be particularly suitable for encoding the same sequence of video frames or that same type of content.