Flipbook Frame Selection Using Relative Image Difference
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Solution Overview
Problem
Existing systems for producing flipbooks from videos lack efficient video and image analysis capabilities, resulting in the selection and production of frames that are not of sufficient quality and desirability for printing.
Innovation Solution
A system and method that utilizes processing circuitry to analyze video frames, select high-quality frames based on relative image difference thresholds and average rate of change, and edit them for printing, ensuring each frame meets quality criteria, with optional user input for editing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If existing systems extract frames from video to create flipbooks, then the flipbook can be produced, but the frame quality and desirability for printing are insufficient
Solution Approach 1:
The patent replaces manual frame selection and basic extraction systems with an automated intelligent system that uses machine learning models and computer vision algorithms to analyze video frames, detect subjects, and select optimal frames for printing, thereby achieving high frame quality without proportional increase in physical device complexity
Solution Approach 2:
The system dynamically adjusts multiple parameters including frame rate thresholds, image quality metrics, subject detection sensitivity, and printing resolution settings to optimize frame selection quality while maintaining efficient processing, allowing the system to adapt to different video types and printing requirements
2Manufacturing precision
If more video analysis capabilities are added to improve frame selection quality, then frame desirability increases, but system complexity and processing time increase
Solution Approach 1:
The system performs preliminary analysis during video processing by pre-identifying potential subject regions and pre-evaluating frame quality metrics before final frame selection, allowing optimized frame extraction without requiring complete re-analysis of all frames, thus reducing overall processing time while maintaining high selection quality
Solution Approach 2:
The intelligent system automatically analyzes video content, detects subjects, evaluates frame quality, and selects optimal frames without requiring manual intervention or extensive post-processing, enabling the system to serve itself in making frame selection decisions and reducing the time investment needed from operators
3Reliability
If traditional frame extraction methods are used, then the process is simple, but the selected frames do not accurately depict the action
Solution Approach 1:
The patent replaces traditional rule-based frame extraction with an intelligent system using machine learning models that automatically detect subjects, track action sequences, and select frames that best represent key moments, achieving accurate action depiction through automated visual analysis rather than manual or simple algorithmic approaches
Solution Approach 2:
The system introduces an intelligent analysis layer that acts as an intermediary between the video input and frame output, using computer vision algorithms and machine learning models to interpret video content, identify meaningful action sequences, and select representative frames, thereby ensuring accurate action depiction without direct manual intervention
Data Source
AI summary
A system for producing a flipbook includes a processor that receives a video comprising a plurality of frames, selects a start frame and an end frame, and a plurality of frames therebetween. The processor can analyze the frames of the segment to determine an average rate of change of the plurality of frames and a threshold of relative image difference based on the average rate of change of the plurality of frames and a baseline frame rate. The processor can select, based on the results of its analysis, a plurality of selected frames, each of the selected frames being separated from two other selected frames by a sub-segment of the video, wherein each pair of adjacent frames comprises a relative image difference above the threshold and wherein each selected frame meets quality criteria not met by one or more local frames. The processor arranges the selected frames in temporal order, adds a protruding edge to each of the selected frames, and transmits data representing each of the selected frames to a printer for printing and binding a flipbook.