Video Stream Alignment via Sliding Window Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current content delivery systems face challenges in synchronizing redundant video streams without timing information, leading to potential disruptions and inefficiencies, and require costly detailed image analysis for watermarking and content stream matching.
Innovation Solution
A video packaging and origination service uses picture data processing to determine differences between image frames, aligning streams through a sliding window method without relying on detailed image analysis, and transmits this alignment for synchronized processing and security applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If detailed image analysis is used for watermarking and content stream matching, then measurement precision is improved, but use of energy increases and device complexity increases
Solution Approach 1:
The patent extracts only the essential timing information and synchronization data from video streams, rather than performing comprehensive detailed image analysis. This extraction approach achieves content stream matching by focusing on critical temporal characteristics while eliminating unnecessary computational overhead, thereby reducing energy consumption while maintaining matching accuracy
Solution Approach 2:
The patent segments the content stream analysis into distinct components: timing information extraction, synchronization signal detection, and matching decision-making. This segmentation allows the system to process only relevant portions of the video data needed for matching, avoiding exhaustive image analysis and reducing overall computational energy requirements
2Measurement precision
If detailed image analysis is used for watermarking and content stream matching, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system extracts only essential synchronization and timing characteristics from video streams, eliminating the need for complex detailed image analysis infrastructure. This extraction methodology achieves accurate content stream matching while significantly simplifying the processing system architecture and reducing device complexity
Solution Approach 2:
Instead of analyzing image content to determine stream matching, the patent inverts the approach by analyzing timing information and synchronization signals to infer content identity. This inversion simplifies the processing requirements and reduces device complexity while maintaining matching precision
3Adaptability or versatility
If redundant video streams are synchronized without timing information, then adaptability is improved, but reliability deteriorates due to potential disruptions
Solution Approach 1:
The patent applies preliminary action by embedding timing information and synchronization signals into video streams during the encoding or packaging stage. This preliminary inclusion of temporal reference data ensures that when redundant streams need to be synchronized, reliable timing cues are already available, preventing disruptions while maintaining the flexibility to adapt to different delivery scenarios
Data Source
AI summary
A content stream matching and processing process is provided. A computing device receives a plurality of content streams. The computing device processes the content streams to generate picture data information. The picture data information can be utilized to determine whether the content streams can be aligned. Based on the alignment, the computing device can characterize the similarity of the content streams.