Test System Using Detection Patterns for Video Streaming
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current test systems are inadequate for efficiently and cost-effectively performing video streaming performance tests during handover and offloading scenarios, as they do not account for the complexities of video streaming in heterogeneous wireless networks.
Innovation Solution
A test system comprising a device under test, a remote source simulator, and measurement equipment that simulates a remote video source transmitting detection patterns, allowing for efficient detection and measurement of video streaming performance, including handover scenarios, using various wireless communication sources and patterns like barcodes or acoustical patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional test systems are used for video streaming performance tests, then the testing can be performed with existing infrastructure, but the testing efficiency is low and costs are high due to inability to properly test handover and offloading scenarios
Solution Approach 1:
The test system is segmented into distinct functional modules: a remote source simulator that generates test videos with detection patterns, a device under test that receives and displays videos, and measurement equipment that detects patterns and analyzes performance metrics. This segmentation allows each module to be optimized independently for its specific function, improving overall testing efficiency while maintaining manageable complexity through modular architecture.
Solution Approach 2:
Detection patterns (barcodes, QR codes, or acoustical patterns) serve as intermediaries between the remote video source and the measurement equipment. These patterns are embedded in video frames and transmitted through the device under test, enabling indirect measurement of video streaming performance including handover and offloading scenarios without requiring direct access to internal device metrics.
2Measurement precision
If comprehensive video streaming performance tests including handover scenarios are implemented, then measurement accuracy is improved, but the complexity of the test system increases
Solution Approach 1:
The remote source simulator creates simplified copies or representations of real video sources that include embedded detection patterns. These synthetic test videos replicate the essential characteristics of real-world video streaming scenarios (including handover and offloading conditions) while incorporating measurable markers, enabling accurate performance measurement without requiring complex real-world test environments.
Solution Approach 2:
Detection patterns are pre-encoded into video frames before transmission to the device under test. This preliminary embedding of measurement markers allows the measurement equipment to accurately track video frame delivery, timing, and handover performance without requiring complex real-time analysis during actual video streaming, thereby improving measurement precision while controlling system complexity.
3Measurement precision
If detection patterns are embedded in each video frame for accurate measurement, then measurement precision is improved, but the complexity of pattern detection and processing increases
Solution Approach 1:
Detection patterns are embedded at periodic intervals (e.g., in specific video frames or at defined time intervals) rather than in every single frame. This periodic embedding maintains sufficient measurement precision for evaluating video streaming performance while reducing the overall detection burden and processing complexity compared to continuous pattern embedding in every frame.
Data Source
AI summary
A test system is provided. Said test system comprises a device under test, a measurement equipment, and a remote source simulator. In this context, the remote source simulator is adapted to simulate a remote video source, wherein the remote video source is adapted to transmit a video comprising at least one detection pattern to the device under test. Furthermore, the device under test is adapted to display the video. In addition to this, the measurement equipment is adapted to detect the at least one detection pattern with respect to the device under test and to determine the number of detection patterns having been received by the device under test.