Storyboard Interface for Video Key Frame Extraction
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Solution Overview
Problem
The media sector faces inefficiencies in handling and visualizing large amounts of video content, particularly in selecting and presenting key frames or thumbnails for efficient navigation and content management, which affects production and viewing experiences.
Innovation Solution
A system for automatic key frame extraction and storyboard interface generation, where individual shots are grouped based on feature similarity, and key frames are displayed in chronological order within a storyboard interface, allowing spatial correlation of shots regardless of temporal order, using a shot component, feature component, group component, key frame component, and storyboard component.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If key frames are displayed in chronological order only, then temporal sequence is preserved, but spatial correlation of grouped shots is lost
Solution Approach 1:
The patent transitions from a one-dimensional chronological timeline to a two-dimensional storyboard interface where the horizontal axis represents temporal sequence and the vertical axis represents shot groups. This dimensional expansion allows simultaneous preservation of temporal order and spatial correlation of grouped shots, resolving the contradiction by adding a group dimension without losing time information.
Solution Approach 2:
The video content is segmented into discrete shots that are further organized into groups based on feature similarity. Each shot is represented as an individual key frame unit in the storyboard, allowing independent positioning and grouping. This segmentation enables the interface to display both temporal sequence and group relationships simultaneously through strategic arrangement of discrete units.
2Measurement precision
If manual key frame selection is used, then precision is improved, but production time increases
Solution Approach 1:
The system performs automatic key frame extraction through shot detection and feature analysis, enabling the video processing system to select key frames autonomously without manual intervention. The automated shot boundary detection and feature-based grouping algorithms identify representative frames and organize them into meaningful groups, maintaining high precision while dramatically improving production efficiency.
Solution Approach 2:
The system uses feature extraction and similarity comparison parameters to automatically identify and group shots. By computing features such as visual content, audio characteristics, and temporal patterns, the system objectively determines shot boundaries and groupings, achieving consistent precision across different videos without requiring manual adjustment while accelerating the production workflow.
3Loss of information
If all shots are displayed individually, then detail visibility is improved, but navigation efficiency decreases
Solution Approach 1:
The patent merges multiple individual shots into grouped units based on feature similarity, where shots with comparable characteristics are clustered together in the storyboard. This merging reduces the total number of discrete elements users must navigate while preserving shot details within each group. Users can navigate to groups rather than individual shots, improving efficiency while maintaining access to detailed shot information through the visual storyboard representation.
Data Source
AI summary
A storyboard interface displaying key frames of a video may be presented to a user. Individual key frames may represent individual shots of the video. Shots may be grouped based on similarity. Key frames may be displayed in a chronological order of the corresponding shots. Key frames of grouped shots may be spatially correlated within the storyboard interface. For example, shots of a common group may be spatially correlated so that they may be easily discernable as a group even though the shots may not be temporally consecutive and/or or even temporally close to each other in the timeframe of the video itself.