Just-in-Time Video Encoding for Cloud DVR Storage Optimization
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Solution Overview
Problem
Cloud or network digital video recorder (DVR) systems face inefficiencies in storage utilization due to the inability to play content segments recorded in different quality versions, leading to unnecessary storage of multiple format versions.
Innovation Solution
Implementing just-in-time encoding of video segments, where the system stores one high-quality version and encodes it on demand to match the requested lower quality format, reducing storage needs while efficiently utilizing encoding resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple quality versions of content segments are pre-stored, then playback compatibility across different quality requirements is improved, but storage resource consumption increases
Solution Approach 1:
The system performs preliminary encoding of content segments into multiple quality versions (e.g., high, medium, low bitrate) and stores only the highest quality version. When a user requests a specific quality level, the system retrieves the stored high-quality version and performs real-time transcoding to generate the requested quality version, eliminating the need to pre-store all quality variants.
Solution Approach 2:
The system changes the quality parameters (bitrate, resolution, codec settings) of the content segment dynamically based on user requests. By storing a single high-quality master version and applying parameter transformations during playback, the system achieves multi-quality adaptability without multiplying storage requirements.
2Quantity of substance
If only one high-quality version is stored, then storage efficiency is improved, but the system cannot directly play content in requested quality formats without real-time encoding
Solution Approach 1:
The system performs preliminary preparation by storing the high-quality master version with complete encoding information and metadata. This preliminary action enables rapid real-time transcoding when quality conversion is needed, as the encoding parameters and source material are already prepared, minimizing actual encoding time during playback requests.
3Speed
If all quality versions are pre-encoded and stored, then playback speed is improved, but device complexity increases
Solution Approach 1:
The system extracts only the essential high-quality content segment from multiple possible quality versions and stores it. The quality transformation function is extracted and performed dynamically during playback, separating the storage function (simple) from the transformation function (complex but time-limited), thereby reducing overall system complexity while maintaining playback performance.
Data Source
AI summary
Systems and methods are described herein for just-in-time encoding of uniquely recorded vide segments. A particular content segment can include a plurality of versions, where each version includes a different formatting characteristic. For example, the plurality of versions can include a high bit rate version, a medium bitrate version, and a low bitrate version. The system can store one of the versions of the content segment. When a user requests the content segment in a version other than the stored version, the system can retrieve the stored version from storage, and can encode the version of the content segment to generate or replicate the requested version of the content segment.