Automated Video Editing System for Sales Presentation Heat Maps
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The video editing process is time-consuming and requires technical expertise, making it inaccessible to average consumers, and there is a need for methods to automate and enhance video creation and measurement of message delivery in sales presentations.
Innovation Solution
A computing device with software that automates video editing by recording a master video, retrieving and truncating relevant video clips based on spoken tags, and generating a polished presentation with audio and visual effects, while also enabling the measurement of video message delivery and effectiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional video editing software is used, then professional-grade video production quality can be achieved, but the time required increases significantly (30 times longer than finished video time)
Solution Approach 1:
The system performs automatic video editing by analyzing raw footage, identifying compelling portions, and assembling them into a coherent presentation without requiring manual intervention. The software autonomously completes tasks that traditionally required skilled editors, including shot selection, sequencing, and basic enhancements.
Solution Approach 2:
The system transforms the editing process by changing key parameters: it uses automated analysis algorithms instead of manual review, applies machine learning for shot selection, and employs automated sequencing logic. These parameter changes enable professional-quality output with dramatically reduced time investment.
2Manufacturing precision
If professional video editors are hired, then high-quality video production can be achieved, but significant funds must be spent
Solution Approach 1:
The system replaces the mechanical system of human professional editors with an automated software solution. The software replicates the editorial decision-making process through algorithms and machine learning, eliminating the need to hire expensive professionals while maintaining production quality.
Solution Approach 2:
The system copies the expertise and decision-making patterns of professional editors into software algorithms. By capturing and replicating professional editing techniques in code, the system makes professional-grade capabilities accessible without requiring professional human operators.
3Ease of manufacture
If consumers use consumer software to edit video, then some basic enhancements can be made, but the video remains dull and rambling
Solution Approach 1:
The system performs preliminary analysis of the entire video dataset before assembly, identifying compelling shots, determining optimal sequencing, and planning the narrative structure in advance. This preliminary action ensures that even automated editing produces coherent, engaging presentations rather than random clip collections.
Solution Approach 2:
The system acts as an intermediary between raw footage and final presentation, applying intelligent processing in between. It bridges the gap by automatically performing the complex analysis and decision-making that would otherwise require professional editors, while remaining accessible to consumer users.
4Ease of operation
If salespersons deliver messages in analogue ways, then personal interaction is possible, but feedback to measure delivery effectiveness is lacking
Solution Approach 1:
The system implements feedback by automatically tracking and measuring presentation delivery metrics. It monitors whether salespersons are delivering the proper messages, measures audience engagement, and provides data on message effectiveness, transforming the previously feedback-free analogue process into an measurable, optimized system.
Data Source
AI summary
Systems and methods for creating and distributing presentations and determining on an individual or aggregate basis the extent to which the presentations are viewed by the intended recipients. Speech recognition software may be used to provide a detailed analysis of presentation playback.


