Electronic Device AI Pipeline for Video Emoticon Generation
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Solution Overview
Problem
Video editing is time-consuming and requires design skills for creating personalized emoticons, limiting effective communication through emoticons in messenger applications.
Innovation Solution
An electronic device uses artificial intelligence models to automatically edit videos by detecting objects and adding content, generating emoticons based on scene understanding, and allowing users to further customize the edited content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual video editing is performed to create personalized emoticons, then customization and personalization are improved, but time consumption and effort increase significantly
Solution Approach 1:
The system enables self-service by allowing users to input raw video material and automatically receiving edited emoticons without manual editing intervention. The AI model autonomously performs scene understanding, object detection, and emoticon generation, making the service self-executing once initiated by the user.
Solution Approach 2:
Manual mechanical video editing operations are replaced by an AI-based automated system. The patent substitutes human editors and traditional editing tools with an intelligent algorithm that automatically analyzes video content, detects objects, and generates emoticons, eliminating the need for manual frame-by-frame editing.
2Adaptability or versatility
If design tools and editing software are provided for emoticon creation, then customization capability is improved, but ease of operation deteriorates due to required design skills
Solution Approach 1:
The system performs editing operations autonomously without requiring user expertise in design tools. The AI model independently executes scene analysis, object detection, and emoticon synthesis, making the service self-sufficient and eliminating the need for users to learn or operate complex editing software.
Solution Approach 2:
An AI-based intermediary system is introduced between the user's raw video input and the final emoticon output. This intermediary automatically handles all complex editing tasks, translating simple user inputs into professionally edited emoticons without requiring direct user interaction with editing tools.
3Productivity
If automated scene understanding is implemented for video editing, then productivity is improved, but device complexity increases due to AI model requirements
Solution Approach 1:
The AI model serves multiple functions within a single integrated system: scene understanding, object detection, content selection, and emoticon generation. This multi-functional approach consolidates what could be separate complex systems into one unified model, managing complexity while maximizing productivity benefits.
Solution Approach 2:
Multiple editing operations that would traditionally require separate tools and processes are merged into a single automated workflow. The patent combines scene analysis, object detection, and emoticon creation into one integrated AI system that processes video content through a unified pipeline, improving efficiency while managing system complexity.
Data Source
AI summary
According to various embodiments, an operating method of an electronic device may include obtaining a first video including a plurality of images from a user device connected to the electronic device, obtaining scene information about the first video through at least one artificial intelligence model, obtaining a second video obtained by editing the first video based on the scene information through at least one artificial intelligence model, wherein the scene information is information related to scene understanding of the plurality of images, obtaining a first emoticon based on the second video through at least one artificial intelligence model, and transmitting the first emoticon such that the user device outputs the first emoticon.