Non-intrusive Video Layer for Supplemental Content
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing video editing systems are data-intensive and require significant skill, making it difficult to add information to video content without altering the original data stream, and there is a lack of effective techniques for capturing and analyzing user behavior related to video and audio streams.
Innovation Solution
A system that generates a layer associated with a video clip, allowing additional information to be added without modifying the original content, using machine learning for object segmentation and tracking, and enabling interactive supplemental content through facer rings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If traditional video editing systems are used to add information to video content, then the video can be modified and enhanced, but the system becomes data-intensive and requires significant skill
Solution Approach 1:
The system divides the video stream into discrete frames and processes them individually, allowing information to be added at the frame level without processing the entire video stream. This segmentation reduces data intensity while maintaining editing capability
Solution Approach 2:
The system creates a copy of the video stream and applies modifications only to the copy, leaving the original video data unchanged. This copying approach reduces the complexity of data manipulation and skill requirements by working with duplicates rather than the original data
2Adaptability or versatility
If video editing systems manipulate the underlying data stream, then information can be added to the content, but the original content is altered
Solution Approach 1:
The system creates a copy of the video data stream and applies all modifications and information additions to the copy, while the original video content remains unchanged and intact. This ensures adaptability for adding information while preserving the stability and integrity of the original content
Solution Approach 2:
By processing video frames as discrete segments rather than manipulating the continuous data stream, the system can add information to specific frames without altering the original frame data, thus maintaining content integrity while enabling versatility
3Loss of information
If traditional methods are used to collect analytics on user behavior, then some data can be captured, but the techniques are limited and availability is restricted
Solution Approach 1:
The system implements feedback mechanisms that automatically capture and analyze user interactions with video content, such as viewing patterns, engagement metrics, and behavioral data. This feedback loop enables comprehensive analytics collection without requiring complex manual measurement techniques
Solution Approach 2:
The system performs self-analysis by automatically processing and interpreting user behavior data without requiring external tools or complex measurement infrastructure. The system serves its own analytics needs by internally processing interaction data to generate insights
Data Source
AI summary
Techniques for supplementing a video clip with additional information without modifying the original content included within the video clip are disclosed herein. A video clip comprising multiple video frames is generated. A layer, which is to be associated with the video clip, is also generated. This layer initializes and terminates during a duration of the video clip. An association is formed between the layer and the video clip. Layer content is added to the layer to cause the layer content to supplement content visualized by the video clip without modifying the content visualized by the video clip. In response to the video clip being played, the layer is initialized and the layer content is displayed.