Video Frame Selection for Accurate Content Summarization
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Solution Overview
Problem
Conventional automated or machine-learning models struggle to analyze and generate summaries of content items due to the inability to recognize objects and their relationships, interpret actions and events, and comprehend temporal relationships within the content.
Innovation Solution
A system and method for generating summaries by selecting visually stable video frames based on comparisons with adjacent frames, using a combination of video evaluation, speech-to-text, image evaluation, and large language models to create a textual description of the content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional automated or machine-learning models are used to analyze content items, then the analysis process is simple and fast, but the models cannot recognize objects and their relationships, interpret actions and events, or comprehend temporal relationships
Solution Approach 1:
The patent segments the video content into individual frames and processes them sequentially through multiple analysis stages. Each frame is evaluated for visual stability, selected based on temporal relationships, and analyzed separately by different models, allowing complex analysis to be broken down into manageable segments while maintaining temporal context
Solution Approach 2:
The patent introduces an intermediary selection process that chooses specific video frames based on visual stability and temporal relationships before feeding them to analysis models. This intermediary layer acts as a mediator between raw video data and the analysis models, improving accuracy by selecting representative frames while managing computational complexity
2Loss of information
If all video frames are analyzed to generate comprehensive summaries, then the comprehensiveness of content analysis is improved, but the processing time and computational resources increase significantly
Solution Approach 1:
The patent extracts only the most visually stable and representative video frames from the complete video sequence for analysis. By taking out specific frames that best represent the content while excluding redundant or highly dynamic frames, the system maintains comprehensive content coverage with reduced processing requirements
Solution Approach 2:
The patent applies partial action by analyzing only a subset of video frames rather than all frames. The selection process identifies frames that provide sufficient information for accurate summarization without requiring exhaustive analysis of every frame, achieving comprehensive content understanding with reduced computational effort
3Productivity
If video frames with high motion or changes are selected for analysis, then the dynamic content is captured better, but the visual stability and consistency of the analysis decrease
Solution Approach 1:
The patent changes the selection parameter from prioritizing dynamic content to prioritizing visual stability. By evaluating frames based on their stability characteristics and selecting frames with appropriate stability levels, the system achieves a balance between capturing relevant content and maintaining analysis consistency
Data Source
AI summary
Methods, systems, and apparatuses are provided for generating a description or summary of a content item. A content item comprising a plurality of video frames may be received. One or more of the plurality of video frames may be evaluated to determine the visual stability of that particular video frame. The visual stability of the one or more of the plurality of video frames may be determined by comparing a video frame of the plurality of video frames to one or more video frames adjacent to the respective video frame. One or more of the most visually stable video frames of the at least the portion of the plurality of video frames in the content item may be selected for one or more scenes or shot angles in the content item. The selected video frames may then be analyzed to generate a summary or description of the content item.