Video Surveillance Encoder Configuration via Virtual Stream Analysis
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Solution Overview
Problem
Configuring video stream encoders in large-scale video surveillance systems is complex due to numerous parameters such as video resolution, codec, bitrate, and frame rate, which vary by manufacturer and model, requiring individual settings for each camera, making it impractical for administrators without specific knowledge.
Innovation Solution
A method and system that automatically configure video source encoders by transcoding a reference stream into virtual streams with distinct encoding configurations, computing similarity distances, and selecting optimal configurations based on task quality indicators using a look-up table, allowing for efficient configuration without requiring specific knowledge.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual configuration of encoding parameters is performed for each camera, then optimal video quality and network resource management can be achieved, but the complexity and time required for setup becomes prohibitive in large-scale systems
Solution Approach 1:
The system performs self-configuration by automatically selecting encoding parameters based on manufacturer and model identification. The configuration module autonomously determines optimal settings without requiring administrator intervention, allowing the system to configure itself when new cameras are added to the network.
Solution Approach 2:
Encoding parameter settings are pre-determined and stored in a database associated with each camera's manufacturer and model. When a camera is added to the network, its configuration is automatically retrieved from pre-stored settings, eliminating the need for real-time manual configuration and reducing setup time.
2Reliability
If individual configuration is performed for each camera according to manufacturer and model, then optimal encoding parameters can be selected, but the complexity of configuration increases significantly
Solution Approach 1:
The configuration module serves multiple functions: it identifies camera manufacturer and model, retrieves corresponding encoding parameters, and applies configuration automatically. This multi-functional approach consolidates what would otherwise require separate manual operations into a single automated process.
Solution Approach 2:
A configuration module acts as an intermediary between the camera and the administrator. Instead of the administrator directly configuring each camera, the module mediates by automatically selecting and applying appropriate encoding parameters based on camera identification, thereby simplifying the configuration process.
3Reliability
If comprehensive encoding parameters are configured manually, then video quality and network resource management are optimized, but the ease of operation decreases for administrators without specific knowledge
Solution Approach 1:
The system performs self-configuration by automatically selecting encoding parameters based on manufacturer and model identification. The configuration module autonomously determines optimal settings without requiring administrator intervention, allowing the system to configure itself when new cameras are added to the network.
Solution Approach 2:
A configuration module acts as an intermediary between the camera and the administrator. Instead of the administrator directly configuring each camera, the module mediates by automatically selecting and applying appropriate encoding parameters based on camera identification, thereby simplifying the configuration process.
4Reliability
If manufacturer-specific encoding configurations are used, then optimal performance for each camera type is achieved, but the adaptability to different manufacturers and models decreases
Solution Approach 1:
The configuration module serves multiple functions: it identifies camera manufacturer and model, retrieves corresponding encoding parameters, and applies configuration automatically. This multi-functional approach consolidates what would otherwise require separate manual operations into a single automated process.
Solution Approach 2:
The system stores and applies different encoding parameters for different manufacturers and models. When a camera is added, the configuration module identifies its manufacturer and model, then retrieves the appropriate parameter set from the database, automatically adapting to the specific camera type without requiring manual reconfiguration.
Data Source
AI summary
At least one embodiment of a method of configuring a video source comprising an embedded encoder for generating a stream, in a video-surveillance system comprising virtual encoders generating virtual streams, the method comprising:transcoding a reference stream generated by the video source to generate virtual streams according to distinct encoding configurations of the virtual encoders;for each of the generated virtual streams, computing a similarity distance between the corresponding virtual stream and a reference stream generated by the video source;obtaining a quality indicator relative to a task to be carried out on a stream generated by the video source;selecting an encoding configuration of a virtual encoder based on the computed similarity distances and the obtained quality indicator; anddetermining at least one configuration parameter value of the encoder of the video source as a function of the selected encoding configuration of the virtual encoder and of a look-up table.