Presentation Slide Title Detection Using Video Frames and OCR
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Solution Overview
Problem
Existing digital communication platforms lack the ability to automatically extract textual content, particularly titles of presentation slides, from recorded video sessions, making it difficult and time-consuming for users to analyze and search through sales meetings or other communication sessions.
Innovation Solution
A system that receives video content, extracts frames, classifies them based on image analysis, identifies frames containing text, detects titles within these frames using optical character recognition (OCR), and transmits the extracted textual content and titles to client devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually review video recordings to find presentation slide titles, then they can obtain the titles, but it consumes excessive time and reduces productivity
Solution Approach 1:
The patent replaces manual mechanical review of video content with automated optical character recognition (OCR) technology. The system captures video frames, applies OCR to detect text, and automatically identifies presentation slide titles without requiring human users to manually watch and transcribe the video content, thus resolving the contradiction between extraction accuracy and time consumption.
Solution Approach 2:
The patent introduces an intermediary text extraction system that acts as a mediator between the video recording and the user. This system processes the video content through frame capture and OCR technology, transforming unstructured video data into structured text output (titles), thereby eliminating the need for users to directly interact with lengthy video recordings.
2Measurement precision
If the system extracts and processes all video frames to identify titles, then title detection accuracy improves, but computational complexity and processing time increase
Solution Approach 1:
The patent segments the video content into individual frames and processes them sequentially through a pipeline of operations (frame capture → OCR text detection → title identification). This segmentation allows the system to handle complex processing tasks in manageable steps, improving detection accuracy while organizing system complexity into modular, manageable components.
3Measurement precision
If the system processes high-resolution video frames for text extraction, then extraction precision improves, but computational resources and processing time increase
Solution Approach 1:
The patent performs preliminary frame capture and preprocessing before applying the computationally intensive OCR text detection algorithm. By preparing frames in advance (capturing and organizing video frames before text extraction), the system optimizes the workflow to reduce overall processing time and energy consumption while maintaining high extraction precision when OCR is applied to the pre-prepared frames.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables efficient extraction and transmission of textual content and titles from video frames, improving the analysis and search capabilities of communication sessions by reducing the time spent navigating through lengthy recordings.
Implementation Method 1
extracts, via optical character recognition (OCR), the title from the cropped title area of the frame
Data Source
AI summary
Methods and systems provide title detection for presented slides. In one embodiment, the system receives video content of a communication session with a number of participants; extracts frames from the video content; classifies the frames of the video content; identifies one or more distinguishing frames containing a presentation slide; for each distinguishing frame containing a presentation slide, detects a title within the frame; and transmits, to one or more client devices, the titles for each of the distinguishing frames comprising a presentation slide.