Live Video Text Extraction and Overlay System
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Solution Overview
Problem
During live video streams, audience members often struggle to capture important textual information as it moves out of view due to camera angles changing, leading to a poor viewing experience and disruptions when presenters need to pause to share text manually.
Innovation Solution
Implementing natural language processing and gesture recognition to detect moving text referred to by the presenter, overlaying a graphical text location indicator and providing selectable text in an auxiliary region of the user interface, allowing seamless access to the text without pausing the presentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If text is presented in live video streams with changing camera angles, then information delivery is efficient and engaging, but audience members cannot capture the text as it moves out of view
Solution Approach 1:
The system creates a digital copy of the text that appears in the video stream and displays it in an auxiliary region. This copy remains accessible even when the original text moves out of view in the main video, allowing audience members to capture and retain the information without disrupting the live stream's dynamic presentation.
Solution Approach 2:
The solution moves the text from a single spatial location in the video stream to a dual-display arrangement: the original text remains in the main video area while a duplicate appears in an auxiliary region. This dimensional separation allows the text to be both dynamically presented in the video and statically accessible for capture simultaneously.
2Loss of information
If presenters manually share text during presentations, then audience can access the text, but presentation flow is disrupted and time is lost
Solution Approach 1:
The system automatically detects and extracts text from the video stream using optical character recognition and natural language processing, eliminating the need for presenters to manually pause and share text. The text is automatically displayed in the auxiliary region, allowing the presentation to continue uninterrupted while audience members access the information.
Solution Approach 2:
The manual mechanical process of pausing the presentation, typing or displaying text, and then resuming is replaced by an automated digital system that continuously processes the video stream, detects text, and displays it in real-time without requiring presenter intervention or breaking the presentation flow.
3Ease of manufacture
If presenters prepare text documents beforehand, then all relevant text can be shared, but presenters cannot share text that arises mid-presentation
Solution Approach 1:
The system transitions from a static, pre-planned text sharing approach to a dynamic, real-time text detection and display system. Text can be shared whether it was anticipated in advance or arises spontaneously during the presentation, as the system continuously monitors the video stream and extracts text as it appears, adapting to the presenter's spontaneous needs.
Data Source
AI summary
In some embodiments, user extraction of in-video text may be facilitated. In some embodiments, a video associated with a video communication session may be processed to detect moving text to which a first user is referring in the video. Based on the detection of the moving text, location information associated with the moving text may be determined. For example, the location information may indicate spatial locations of the moving text. Based on the text location information, a graphical text location indicator may be overlayed on the video (e.g., on a first portion of a user interface of a user device) where the graphical text location indicator is presented proximate the moving text. Selectable text corresponding to the moving text and an auxiliary indicator corresponding to the graphical text location indicator may be presented on a second portion of the user interface.