Dynamic Splice Point Feedback for Video Boundary Alignment
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Solution Overview
Problem
Existing video production equipment often results in unwanted visual artifacts due to suboptimal processing of video streams, including packet communication errors, processing latency, timing misalignments, and non-synchronous alignment of insertion boundaries, which affect the quality of video delivered to end-user equipment.
Innovation Solution
A splice point controller analyzes video streams to detect and compensate for content boundary misalignments by dynamically adjusting splice points, providing feedback to transcoders and secondary content sources to ensure accurate transitions and reduce visual artifacts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video streams are processed with standard equipment, then video delivery is achieved, but visual artifacts and timing misalignments occur
Solution Approach 1:
The system continuously monitors video streams and splice point timing, comparing actual splice points against expected timing. When misalignments are detected, the system generates feedback signals to adjust splice point positioning dynamically, creating a closed-loop control system that continuously refines alignment precision.
Solution Approach 2:
The splice point positioning system transitions from static predetermined timing to dynamic adjustment. The system real-time modifies splice point locations based on actual video stream conditions, processing delays, and timing variations, allowing flexible adaptation to changing operational parameters.
2Manufacturing precision
If splice points are dynamically adjusted, then content boundary alignment improves, but system complexity increases
Solution Approach 1:
The complex splice point control function is divided into separate modular components: a monitoring module that detects timing variations, a calculation module that determines adjustment values, and a control module that applies corrections. This segmentation allows each component to be optimized independently and simplifies system maintenance.
Solution Approach 2:
The system introduces an intermediary control layer between the video processing pipeline and the splice point execution. This intermediary layer handles the complexity of timing calculations and coordinate transformations, shielding other system components from the intricacies of precise synchronization while maintaining accurate content boundary alignment.
3Measurement precision
If processing delays are compensated, then timing accuracy improves, but processing time increases
Solution Approach 1:
The system performs preliminary measurements of processing delays and timing characteristics during system initialization and continuous operation. These pre-characterized timing parameters are stored and used to pre-calculate compensation values, allowing the system to anticipate and counteract processing delays without requiring continuous time-consuming analysis during critical processing moments.
Data Source
AI summary
Example systems and methods for determining and verifying splicing information in multicast video feeds are described herein. An example method includes receiving a multicast video feed, where the multicast video feed is processed by a video transcoder from original video content into the multicast video feed including primary content and original splicing information including splice points configured to direct placement of secondary content into the multicast video feed, and wherein the multicast video comprises a plurality of destination video feeds; retrieving advertisement schedule data from an advertisement schedule repository accessible over a network; and using the advertisement schedule data to calculate original splicing information for insertion into the multicast video feed.