Interactive 3D Video Grid for Multi-Dimensional Content Search
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Solution Overview
Problem
Existing video content navigation technologies, such as those used in DVR systems, are inadequate for the diverse and expansive online video content landscape, necessitating a more robust and multi-dimensional search capability beyond traditional two-dimensional grid matrices.
Innovation Solution
A method and system for performing a multi-dimensional search of video content using an interactive three-dimensional grid matrix, where chapters and sub-chapters form two dimensions, and containers of video content and nodes of video snippets constitute the third dimension, enabling viewers to conduct searches across all dimensions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a traditional two-dimensional grid matrix is used for video navigation, then the system structure remains simple, but the search capability is insufficient for diverse online video content
Solution Approach 1:
The patent transitions from a two-dimensional grid matrix to a three-dimensional grid matrix by adding a new dimension for organizing video content. The third dimension allows for additional categorization criteria such as video type, quality, or metadata tags, enabling more comprehensive multi-dimensional searching while maintaining the familiar grid interface structure.
2Adaptability or versatility
If a three-dimensional grid matrix is implemented for comprehensive video search, then the search capability is enhanced, but the interface complexity increases
Solution Approach 1:
The three-dimensional grid matrix is segmented into distinct navigable dimensions, allowing users to focus on one dimension at a time. Each dimension can be independently explored and filtered, breaking down the complexity of multi-dimensional search into manageable segments that maintain ease of operation.
Solution Approach 2:
The patent introduces a third dimension to the traditional two-dimensional grid, enabling comprehensive multi-dimensional searching. This additional dimension provides deeper organizational capability for video content while maintaining the intuitive grid-based interaction model, balancing enhanced functionality with user-friendly operation.
3Adaptability or versatility
If traditional DVR navigation is used, then the system remains simple to operate, but it cannot handle the expansive online video content landscape
Solution Approach 1:
The three-dimensional grid matrix serves multiple functions: it organizes video content by traditional criteria (chapters, sub-chapters) while simultaneously supporting diverse online video content types through the third dimension. This universal structure can adapt to various content formats and platforms, making the navigation system versatile enough to handle the expansive online video landscape.
Solution Approach 2:
By adding a third dimension to the navigation grid, the system gains the capacity to organize and search through diverse online video content that exceeds the capabilities of traditional two-dimensional DVR navigation. This dimensional expansion enables comprehensive content coverage while maintaining a structured, navigable interface.
Data Source
AI summary
In a method and system for performing a multi-dimensional search of video content accessible by a viewer thereof is described. Namely, a grid matrix is populated or filled out, by automation or viewer selection on a smart device, with video content. The grid matrix is organized in a conventional 2D nature (column by row) with chapter names of the video content and sub-chapter names associated with each chapter. A third dimension is provided within each subchapter, namely the inclusion of containers (or drawers) of video content associated for each subchapter name. Within each container is included one or a plurality of nodes of video snippets associated with that container within its given subchapter. The viewer can conduct a multi-dimensional search of video content across all three dimensions of the grid matrix, or via a structured drill-down to search all nodes of a given container.