Video Content Insertion Using Metadata Transition Scores
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Solution Overview
Problem
Existing content delivery systems struggle to select optimal instances of supplemental content for insertion during catalog content delivery, often relying on manual or non-robust criteria that do not ensure smooth transitions, leading to suboptimal viewer experiences.
Innovation Solution
A system generates transition scores based on robust metadata analysis of catalog and supplemental content, comparing dimensions such as genre, objects, context/mood, pace, music type, and brand to automatically select combinations of supplemental content that provide the highest ranked transitions, potentially adjusting bid values based on these scores.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual selections of metadata are used to select supplemental content, then the selection process is simple and controllable, but the optimality of content transition and viewer experience deteriorates
Solution Approach 1:
The patent introduces an automated content analysis system that acts as an intermediary between manual metadata selection and supplemental content insertion. This system computes transition scores by analyzing multiple dimensions (genre, objects, context/mood, pace, music type, brand) and automatically selects optimal content combinations, thereby improving transition quality while reducing reliance on manual metadata selection
Solution Approach 2:
The patent transforms the selection process by changing from simple manual metadata parameters to a multi-dimensional parameter system. The system evaluates content based on six distinct dimensions and computes numerical transition scores, enabling more precise and optimal content matching that improves viewer experience
2Productivity
If automated systems using received values from supplemental content owners are used, then the selection efficiency improves, but the optimality of content transition and viewer experience deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where the system computes transition scores based on actual content characteristics and uses this information to adjust bid values and selection decisions. The system continuously evaluates the fit between catalog content and supplemental content, providing feedback that improves both selection efficiency and transition quality simultaneously
Solution Approach 2:
The patent replaces the manual and value-based selection mechanisms with an automated content analysis system that uses computational algorithms to evaluate content compatibility. This substitution enables the system to process multiple content dimensions efficiently while making optimal selection decisions based on computed transition scores
3Reliability
If bid values are adjusted based on transition scores, then the content selection optimality improves, but the system complexity increases
Solution Approach 1:
The patent performs preliminary content analysis and transition score computation before the actual content selection process. By pre-computing the compatibility scores across multiple dimensions, the system simplifies the final selection decision while ensuring optimality, thereby managing complexity through staged processing
Data Source
AI summary
In some embodiments, a method determines a break in a delivery of an instance of catalog content and determines instances of supplemental content. A plurality of transition scores is generated for a plurality of combinations of one or more instances of supplemental content and the instance of catalog content based on a comparison of first metadata for the one or more instances of supplemental content to second metadata for the instance of catalog content. The first metadata is based on an analysis of content characteristics of the instance of supplemental content and the second metadata is based on an analysis of content characteristics of the instance of catalog content. The method uses the transition scores to select a combination of one or more instances of supplemental content. A transition score rates a transition between the instance of catalog content and the combination of one or more instances of supplemental content.