Highlight Video Selection Using Continuous Frame Sequences
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Solution Overview
Problem
Existing methods for creating highlight videos are cumbersome and inaccurate in determining frames included in the highlight portions of a video, as they rely on evaluating frame evaluation values which are difficult to calculate with high accuracy.
Innovation Solution
An apparatus that evaluates frames for suitability in a highlight video, identifies continuous frames with higher evaluation values, and selects candidate sections based on length to create a highlight video, using an evaluating unit, identifying unit, and output unit to ensure accurate selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If frame evaluation methods are used to identify highlight portions, then automated highlight video creation is enabled, but the accuracy of determining frames included in highlight portions deteriorates
Solution Approach 1:
The patent introduces an identifying unit as an intermediary component between the evaluating unit and the highlight video generation. This identifying unit uses multiple criteria (evaluation value threshold, continuous frame sequences, section length) to filter and select candidate sections, thereby improving the accuracy of highlight portion identification without sacrificing automation. The intermediary processing step refines the rough evaluation results into accurate highlight selections.
2Extent of automation
If candidate sections are selected based on evaluation values, then highlight video creation is automated, but the reliability of highlight section selection deteriorates due to low evaluation accuracy
Solution Approach 1:
The patent changes the selection parameters from relying solely on evaluation values to using multiple parameters including evaluation value threshold, continuous frame count, and section length. By introducing these additional parameters, the system maintains automated selection while significantly improving reliability. The identifying unit evaluates candidate sections based on this multi-parameter framework, ensuring that only sections meeting all criteria are selected for the highlight video.
3Manufacturing precision
If manual extraction of highlight portions is performed, then accuracy of highlight video creation is improved, but operation complexity and time consumption deteriorate
Solution Approach 1:
The patent implements a self-service system where the apparatus automatically performs highlight portion identification and selection without requiring manual user intervention. The evaluating unit automatically assesses frames, the identifying unit automatically selects candidate sections based on predefined criteria, and the system automatically generates the highlight video. This self-service approach achieves both high accuracy and operational simplicity, eliminating the trade-off between manual accuracy and automation complexity.
Data Source
AI summary
An apparatus that connects frames included in one video to make a highlight video shorter than the video evaluates whether each of the frames included in the video is appropriate as a component of the highlight video, identifies one or more candidate sections including continuous frames that are evaluated higher than a reference, and makes the highlight video by preferentially using the frames included in a longer candidate section, among the one or more candidate sections.