Automatic Video Editing System for Personal Media
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Solution Overview
Problem
Personal video lacks comprehensive solutions for browsing, searching, and sharing due to its raw, unstructured, and unedited nature, leading to poor user experience and limited viewing and sharing compared to other internet videos.
Innovation Solution
A method for automatically generating edited videos using product images and meta-data from a content management system, involving content analysis to select and combine images and meta-data, applying a product visualization instruction set to create a sequence of frames with visual representations, enhancing browsing, searching, and sharing capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If personal video is kept in raw, unedited form to maintain original content, then authenticity is preserved, but user experience deteriorates and viewing/sharing is limited
Solution Approach 1:
The system performs preliminary automatic editing actions on personal video footage by analyzing content, selecting key moments, and assembling edited sequences before the user views or shares the video. This preliminary processing transforms raw footage into polished content while preserving the user's original material, thereby improving user experience without compromising authenticity.
2Ease of operation
If personal video is manually edited to improve quality and sharing capability, then user experience improves, but time consumption and complexity increase
Solution Approach 1:
The system enables personal video to edit itself by automatically analyzing the raw footage, identifying key moments through content analysis, selecting appropriate clips, and assembling edited sequences without requiring user intervention. This self-service capability transforms the editing process from a time-consuming manual task to an automated operation, dramatically reducing time loss while maintaining high-quality output.
Solution Approach 2:
The patent replaces the mechanical manual editing process with an automated content analysis system that uses algorithms to detect key moments, identify important video segments, and assemble edited sequences. This substitution of mechanical user actions with automated computational processes eliminates the time and effort previously required for manual editing while preserving creative intent.
3Adaptability or versatility
If comprehensive video editing and production tools are provided to enable better personal video sharing, then sharing capability improves, but system complexity increases
Solution Approach 1:
The system extracts and isolates the essential editing functions needed for personal video sharing, separating them from the complex full-featured video editing software. By taking out only the critical capabilities—automatic key moment detection, clip selection, and sequence assembly—the system provides sufficient sharing capability without the overwhelming complexity of comprehensive editing tools.
Solution Approach 2:
The patent creates a universal editing system that handles multiple types of personal video content and sharing scenarios through a single automated platform. The content analysis engine and editing assembly process work across diverse video types (home movies, events, vacations) and sharing contexts, providing multi-functional capability that replaces the need for multiple specialized tools and reduces overall system complexity.
Data Source
AI summary
A method and a system for automatically generating an edited video based on at least one product image and product meta-data provided herein. The method may include the following steps: obtaining the at least one product image and product meta-data linked to one of a plurality of products represented by the at least one product image; automatically analyzing a content of said product images by a computer processor, to yield product content visual analysis; selecting a product visualization instruction set from a plurality of product visualization instruction sets; automatically generating an edited video by applying the product visualization instruction set to the at least one product image and product meta-data; and modifying the edited video based on the product content visual analysis, wherein said modifying affects an attribute of at least some of the product meta-data.