AI Short Form Preview Generation for Long Media
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Solution Overview
Problem
Identifying interesting segments in lengthy video or audio items is challenging and time-consuming for users and content owners, leading to inefficient use of computing resources for generating and storing short form media items that may not be viewed.
Innovation Solution
A computer-implemented method using an AI model to identify frames of interest in a media item, extract a segment based on these frames, and provide it as a short form preview for presentation to users, optimizing content discovery and reducing resource consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually identify interesting segments in lengthy media items, then content discovery accuracy is improved, but time consumption and operational complexity increase significantly
Solution Approach 1:
The patent replaces the manual mechanical process of segment identification with an automated AI-based system. The AI model analyzes media items and automatically identifies interesting segments, eliminating the need for users to manually review lengthy content while maintaining high accuracy in content discovery.
Solution Approach 2:
The system enables the media item itself to identify its own interesting segments through AI analysis. The automated system processes the content and generates segment identifiers without requiring external human intervention, allowing the content to serve its own segmentation needs efficiently.
2Reliability
If computing resources are allocated for generating and storing short form media items, then content presentation quality is improved, but resource consumption increases
Solution Approach 1:
The system extracts only the essential interesting segments from lengthy media items rather than processing or storing entire content. By identifying and extracting specific key frames and segments that represent the core content, the system reduces resource requirements while maintaining presentation quality.
Solution Approach 2:
The AI model performs partial analysis by focusing only on identifying key segments rather than comprehensively processing the entire media item. This selective approach processes only the necessary portions of content, reducing overall computational resource consumption while still delivering quality presentations.
3Productivity
If AI models are used to identify frames of interest, then segment identification efficiency is improved, but system complexity increases
Solution Approach 1:
The patent introduces an intermediary AI model that acts as a bridge between the raw media content and the segment identification process. This intermediary system handles the complex analysis tasks, allowing the rest of the system to remain relatively simple while achieving high identification efficiency through the specialized AI component.
Data Source
AI summary
Aspects of the disclosure are directed to methods and systems for short form previews of long form media items. A server can provide, to an artificial intelligence (AI) model, a long form media item to be shared with users. The server can receive, from the AI model, one or more frames that are predicted to contain content that is of interest to the users. The server can extract a segment of the long form media item that corresponds to the one or more frames, where the extracted segment corresponds to a short form media item preview. The short form media item preview can be provided for presentation to the users.