Media Compositing System for Bandwidth Reduction and Flexible Backgrounds
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Solution Overview
Problem
Current video management and chroma keying technologies face challenges in efficiently managing and distributing replacement content for seamless image segmentation and compositing, particularly in reducing bandwidth requirements and improving video compression, while also allowing for flexible use of non-monochromatic backgrounds.
Innovation Solution
A media system configured to store, manage, and distribute replacement content, including video and virtual environments, with logic for identifying optimal splice points, ranking suitability, and using trained neural networks for selection, along with innovative segmentation strategies that do not rely on specific matte colors, and reduce bandwidth by repeating static or looped content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If replacement content is repeated to reduce bandwidth, then bandwidth requirements are reduced, but the content must be static or looped which limits flexibility
Solution Approach 1:
The system segments replacement content into discrete clips that can be independently selected and looped. Each clip is a self-contained unit that can be repeated to fill time gaps, allowing bandwidth reduction through reuse while maintaining flexibility through clip selection.
Solution Approach 2:
The system employs periodic looping of selected replacement clips to fill temporal gaps in the composite video. By repeating the same clip content periodically, the system reduces bandwidth requirements while the selection of which clip to loop provides flexibility.
2Reliability
If chroma keying uses traditional monochromatic backgrounds, then segmentation is reliable, but creative flexibility is limited
Solution Approach 1:
The system enables chroma keying to work with non-monochromatic backgrounds by detecting and tracking color changes over time. The keying algorithm adapts to dynamic color variations in the background, allowing reliable segmentation even when the background is not a static single color, thus maintaining both reliability and creative flexibility.
Solution Approach 2:
The system changes the parameter of background color from static monochromatic to dynamic multi-color. By adjusting color detection parameters to account for temporal variations and using adaptive keying algorithms, the system maintains segmentation reliability while enabling diverse background color options.
3Productivity
If video compression is applied to both foreground and background separately, then compression efficiency improves, but system complexity increases
Solution Approach 1:
The system segments the video stream into foreground and background components separately, allowing independent compression of each. This segmentation enables optimized compression for each component (e.g., higher compression for static background, lower for dynamic foreground) while managing complexity through structured processing stages.
Solution Approach 2:
The system performs preliminary segmentation and classification of frames into foreground and background before applying compression. This preliminary action allows the compression algorithm to apply different compression levels and methods to each component, improving overall efficiency while the automated classification reduces manual intervention complexity.
Data Source
AI summary
Systems and methods are configured to identify replacement content within various types of media and to facilitate the use of the identified replacement content in the generation of composited content. The generation of composited content optionally includes Chroma key processes. The content may include video and or multi-dimensional virtual environments. For example, loops of replacement content may be identified within video or time variant virtual environments. These capabilities are optionally facilitated by various artificial intelligence systems, e.g., trained neural networks.