Hierarchical Video Segmentation for Metadata Panel Interaction
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Solution Overview
Problem
Conventional video editing techniques are tedious and challenging for users due to their reliance on selecting specific video frames or time ranges, leading to inflexible and inefficient interaction modalities.
Innovation Solution
The implementation of hierarchical video segmentation, where a video is segmented into semantically defined video segments of unequal duration (clip atoms) and clustered to form a multi-level hierarchical representation, allowing for refined selection and operation on video segments through a video timeline and metadata panel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional video editing selects specific video frames or time ranges, then precise editing control is achieved, but user interaction becomes tedious and challenging
Solution Approach 1:
The video is segmented into semantically meaningful units called clip atoms based on detected boundaries (speech, scene, event). These clip atoms are then hierarchically clustered into multiple levels of granularity. Users can select entire clusters or individual clip atoms, replacing tedious frame-by-frame selection with intuitive semantic unit selection while maintaining precise editing control.
Solution Approach 2:
The patent introduces a hierarchical dimension to video segmentation, organizing clip atoms into multiple levels of clusters. This adds a structural dimension to the flat timeline, allowing users to navigate and select video content through hierarchical navigation rather than linear frame selection, significantly improving ease of operation while preserving precision.
2Measurement precision
If video is segmented into fine-grained frames for editing, then precise selection is possible, but editing efficiency decreases
Solution Approach 1:
Video is segmented into clip atoms at multiple hierarchical levels rather than individual frames. Users can work with coarser cluster levels for broad selections (improving efficiency) or drill down to individual clip atoms for precise selections (maintaining precision). This hierarchical segmentation eliminates the trade-off between precision and efficiency.
Solution Approach 2:
The hierarchical cluster structure is dynamic, allowing users to navigate between different levels of granularity as needed. The system adapts to user needs by enabling selection at any hierarchical level, making the editing process more efficient while preserving the ability to make precise selections when required.
3Ease of operation
If conventional video editing uses a simple timeline, then interface simplicity is maintained, but interaction flexibility is limited
Solution Approach 1:
The patent implements a nested hierarchical structure where clip atoms are nested within clusters, which are nested within higher-level clusters, forming a multi-level hierarchy displayed in the timeline. This nested organization maintains interface simplicity by presenting a structured view while providing extensive interaction flexibility through hierarchical navigation and selection at multiple levels.
Solution Approach 2:
The hierarchical cluster structure adds a structural dimension to the traditional linear timeline. Users can interact with video content through this additional hierarchical dimension, enabling flexible selections ranging from individual clip atoms to entire clusters while maintaining a simple, organized timeline interface.
4Stability of the object's composition
If video segments are uniformly divided for editing, then systematic organization is achieved, but semantic meaningfulness is lost
Solution Approach 1:
Instead of uniform segmentation, the patent applies local quality by detecting boundaries based on semantic content (speech, scene changes, events) to create clip atoms of varying durations. Each segment is tailored to its local semantic characteristics, preserving meaningfulness while maintaining systematic organization through hierarchical clustering.
Solution Approach 2:
The system performs preliminary semantic analysis to detect boundaries and create hierarchically clustered clip atoms before editing begins. This preliminary organization preserves semantic information by grouping related content together in meaningful clusters, allowing users to work with pre-organized semantic units rather than losing semantic context in uniform divisions.
Data Source
AI summary
Embodiments are directed to techniques for interacting with a hierarchical video segmentation using a metadata panel with a composite list of video metadata. The composite list is segmented into selectable metadata segments at locations corresponding to boundaries of video segments defined by a hierarchical segmentation. In some embodiments, the finest level of a hierarchical segmentation identifies the smallest interaction unit of a video—semantically defined video segments of unequal duration called clip atoms, and higher levels cluster the clip atoms into coarser sets of video segments. One or more metadata segments can be selected in various ways, such as by clicking or tapping on a metadata segment or by performing a metadata search. When a metadata segment is selected, a corresponding video segment is emphasized on the video timeline, a playback cursor is moved to the first video frame of the video segment, and the first video frame is presented.