Preemptive Camera Encoding to Avoid Video Recorder Transcoding
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing video recording systems in enterprise networks face resource-intensive transcoding demands due to inconsistent video encoding parameters, which can strain system resources and impact device performance.
Innovation Solution
A video recorder dynamically adjusts encoding parameters based on usage patterns, detected content, and access control events to predict and store multiple video streams at different qualities, thereby minimizing the need for transcoding and conserving resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the video recorder receives high quality video stream from the camera and transcodes it to the requested video stream encoding, then the video quality can be balanced with latency, but the system resources are strained and device performance is impacted
Solution Approach 1:
The video recorder predicts future video encoding requests by analyzing usage patterns and pre-configures cameras to encode videos in advance according to predicted encoding parameters. This preliminary action eliminates the need for real-time transcoding when actual requests occur, thereby reducing system resource strain while maintaining video quality.
Solution Approach 2:
The system dynamically adjusts camera encoding parameters based on predicted usage patterns, detected content, and access control events. By making encoding parameters adaptive and context-aware, the system optimizes resource utilization while ensuring video quality meets future request requirements.
2Manufacturing precision
If the video recorder transcodes video streams to match requested encoding parameters, then video quality can be optimized, but the transcoding process consumes significant system resources
Solution Approach 1:
The system performs preliminary encoding configuration by predicting future video requests and pre-setting camera encoding parameters accordingly. This eliminates the need for resource-intensive real-time transcoding operations, thereby improving transcoding efficiency while maintaining video encoding quality.
Solution Approach 2:
Instead of transcoding existing video streams, the system creates multiple video streams at different encoding qualities in advance and stores them. When a request occurs, the appropriate pre-encoded stream is retrieved directly without needing to transcode, thus improving productivity.
3Loss of energy
If multiple video streams at different qualities are stored to avoid transcoding, then resource efficiency is improved, but storage requirements increase
Solution Approach 1:
The system pre-encodes and stores multiple video streams at different qualities based on predicted usage patterns. By having these pre-encoded streams available, the system avoids resource-intensive transcoding operations while managing storage requirements through intelligent prediction and selective encoding.
Solution Approach 2:
The system varies encoding parameters such as resolution and frame rate to create multiple video streams at different qualities. By changing these parameters systematically, the system optimizes the balance between storage consumption and resource efficiency, storing only the necessary variety of encoded versions.
Data Source
AI summary
Systems and methods are disclosed for preparing encoded video streams at a video recorder. One or more encoding parameter values for capturing the video using the camera can be selected, based at least in part on one or more of a usage pattern of requesting video from a camera or a detected content of a video from the camera or an access control event in an area associated with the camera. The camera can be configured to provide a video stream using the one or more encoding parameter values, and the video stream encoded based on the one or more encoding parameter values can be received from the camera.


