DVE Template Selection for User Video Content
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Video production systems face challenges in determining which input video content items relate to a common event and ensuring their quality for incorporation into produced video content, particularly when receiving multiple video sources from end-users.
Innovation Solution
A computing system identifies video content items with a threshold extent of similarity and quality score, selecting a Digital Video-Effect (DVE) template based on these criteria to generate and broadcast a cohesive video content item, enabling 'live' event coverage by incorporating user-generated content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple video content items are received from end-users, then the quantity of video content increases, but the difficulty of detecting and measuring quality and relevance increases
Solution Approach 1:
The patent replaces manual quality assessment with automated computer-based analysis. The system uses processing circuits to automatically detect and measure quality metrics (focus, exposure, stability) and relevance (event detection, object recognition) of video content items, eliminating the need for manual review while handling large quantities of user-generated content.
Solution Approach 2:
The system enables video content items to self-assess their own quality and relevance through automated analysis. Each video content item is independently evaluated by the processing circuits which determine its quality score and relevance to the event without requiring external human intervention, allowing the system to autonomously filter and select appropriate content.
2Productivity
If video content items are processed and filtered in real-time, then the productivity of video production increases, but the device complexity increases
Solution Approach 1:
The patent segments the video processing system into distinct functional modules: quality analysis circuits for assessing technical quality, relevance detection circuits for determining event relevance, and selection circuits for choosing final content. This modular segmentation enables real-time processing of multiple video streams while managing system complexity through organized, specialized components.
Solution Approach 2:
The system performs preliminary quality assessment and relevance detection on video content items before they are incorporated into the final video program. By pre-evaluating focus, exposure, stability, and event relevance, the system prepares content in advance for rapid selection and integration, enabling real-time productivity without overwhelming processing complexity during broadcast.
3Ease of operation
If automated quality scoring and selection is implemented, then the ease of operation increases, but the manufacturing precision of quality assessment may decrease
Solution Approach 1:
The patent implements a universal quality assessment system that evaluates multiple quality dimensions (focus, exposure, stability, composition) and relevance criteria (event detection, object recognition, temporal correlation) through integrated processing circuits. This multi-functional approach maintains high assessment precision while enabling automated operation, as the same system handles diverse evaluation tasks that would otherwise require multiple specialized tools.
Solution Approach 2:
The system incorporates feedback mechanisms where quality scores and relevance assessments are continuously refined based on comparison against established criteria and thresholds. The processing circuits use feedback from initial assessments to adjust selection decisions, ensuring that automated operation maintains high precision by learning from and adapting to the quality standards required for professional video production.
Data Source
AI summary
In one aspect, an example method includes (i) receiving a first group of video content items; (ii) identifying from among the first group of video content items, a second group of video content items having a threshold extent of similarity with each other; (iii) determining a quality score for each video content item of the second group; (iv) identifying from among the second group of video content items, a third group of video content items each having a quality score that exceeds a quality score threshold; and (v) based on the identifying of the third group, transmitting at least a portion of at least one video content item of the identified third group to a digital video-effect (DVE) system, wherein the system is configured for using the at least the portion of the at least one video content item of the identified third group to generate a video content item.