Time-Based Metadata Segmentation for Digital Media
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Solution Overview
Problem
Existing digital media management systems are inefficient in processing, storing, displaying, and retrieving digital media due to inadequate use of metadata, leading to human error, time-consuming manual screenings, and potential oversights in meeting promotional campaign constraints.
Innovation Solution
A computer-implemented system and interface that enables users to create, manage, and analyze digital media segments using time-based or time-correlated metadata, allowing for efficient categorization, visualization, and manipulation of metadata across multiple hierarchical levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual categorization and screening of digital media is performed, then human discretion and judgment can be applied to select appropriate clips, but human error, oversights, and time consumption increase significantly
Solution Approach 1:
The system enables self-service by allowing the digital media asset to automatically generate and organize its own metadata segments based on time-based characteristics. The asset serves itself by automatically categorizing content into segments (e.g., identifying profanity, mature material, product placements) without requiring manual human intervention, thus eliminating human error while maintaining accuracy.
Solution Approach 2:
The patent replaces the mechanical human screening process with an automated computer-based system that uses time-based metadata to categorize and filter digital media segments. This substitution eliminates human discretion and judgment with algorithm-based automated classification, significantly reducing processing time while maintaining or improving accuracy through consistent application of constraints.
2Reliability
If multiple constraints are applied simultaneously during manual screening, then comprehensive compliance can be achieved, but the likelihood of mistakes and oversights increases due to divided attention
Solution Approach 1:
The system segments the digital media asset into multiple time-based metadata segments, each representing different characteristics or constraints (e.g., profanity segments, mature material segments, product placement segments). This segmentation allows each constraint to be independently tracked and managed, making it easier to apply multiple constraints simultaneously without overwhelming the operator.
Solution Approach 2:
The patent adds a time-based dimension to metadata organization, creating hierarchical levels of metadata that extend from the entire digital media asset down to specific time segments. This dimensional approach allows constraints to be applied and verified across different time granularities, simplifying the management of multiple simultaneous constraints through structured temporal organization.
3Measurement precision
If time-based metadata is implemented at multiple hierarchical levels, then precise selection and analysis of digital media segments is enabled, but system complexity and investment requirements increase
Solution Approach 1:
The system implements nested hierarchical levels of metadata, where metadata segments are nested within larger metadata structures that represent different scopes (e.g., scene-level metadata nested within episode-level metadata nested within series-level metadata). This nesting enables precise segment selection at any hierarchical level while reusing the same time-based metadata structure, reducing overall system complexity through pattern repetition.
4Productivity
If automated systems are used to process digital media, then processing speed and consistency improve, but flexibility in handling complex constraints may be reduced
Solution Approach 1:
The system uses time-based parameters as the foundation for metadata organization, allowing flexible adjustment of temporal parameters (start times, end times, duration) to accommodate different constraint scenarios. This parameter-based approach enables the automated system to adapt to complex constraints by modifying time-related metadata attributes without changing the underlying system architecture, maintaining both productivity and versatility.
Data Source
AI summary
Managing metadata associated with a digital media asset includes selecting the digital media asset, displaying the digital media asset in a filmstrip format that presents one or more scenes from the digital media asset along a timeline, wherein each scene corresponds with an underlying point in time along the timeline, and wherein the digital media asset has a start time and an end time that define the timeline, displaying at least one track in timeline alignment with the film strip format wherein the at least one track corresponds with a type of metadata associated with the digital media asset, and displaying on the at least one track, one or more segments, wherein each segment has a start point and an end point along the timeline and wherein each respective segment represents a span of time in which the type of metadata occurs within the digital media asset.