Audio-Scored Content Insertion Points for Coherent Media Programs
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Solution Overview
Problem
Existing methods for inserting content into media programs, such as commercials, often disrupt the viewing experience due to inconsistent and subjective manual reviews, leading to suboptimal placement and potential disruption of audio-visual coherence.
Innovation Solution
An automated system using an analysis engine and scoring engine to assess audio and video characteristics around potential insertion points, determining suitability scores and optimizing insertion points based on loudness levels, scene changes, and semantic coherence to minimize disruption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual review and curation of insertion points is performed, then insertion point selection can be made with human judgment, but the process leads to inconsistent and unpredictable results and requires significant time and resources
Solution Approach 1:
The patent replaces the manual mechanical review process with an automated computer-based system that analyzes audio and video characteristics using algorithms and machine learning models, eliminating human subjectivity and time consumption while maintaining or improving selection accuracy
Solution Approach 2:
The system enables self-service automation where the computer automatically identifies and scores insertion points based on predefined criteria without requiring human intervention, allowing the system to serve itself in making insertion point decisions
2Ease of operation
If commercial breaks are inserted at designated insertion points, then content delivery is simplified, but the inserted content can negatively impact the overall viewing experience by disrupting coherence and continuity
Solution Approach 1:
The system uses feedback from audio and video characteristic analysis to dynamically evaluate insertion point suitability, continuously adjusting selections based on how well each point maintains viewing experience quality while still enabling content insertion
Solution Approach 2:
The system changes the parameters used for insertion point selection from simple temporal markers to multi-dimensional audio-visual characteristics including loudness, speech presence, and scene coherence, allowing for more nuanced insertion decisions that preserve viewing experience
3Measurement precision
If multiple factors are considered when reviewing potential insertion points, then insertion point quality can be improved, but the complexity and time required for manual review increases significantly
Solution Approach 1:
The patent segments the complex evaluation process into distinct analytical components including audio characteristic analysis, video characteristic analysis, and scoring mechanisms, allowing each factor to be processed independently and systematically by the computer system
Solution Approach 2:
The system creates a universal automated framework that can evaluate multiple insertion point criteria simultaneously through a single integrated process, making the complex multi-factor evaluation as simple as executing the automated system without requiring separate manual analyses
Data Source
AI summary
One embodiment of the present invention sets forth a technique for inserting content into a media program. The technique includes determining a plurality of markers corresponding to a plurality of locations within a media program. The technique also includes for each marker included in the plurality of markers, automatically analyzing a first set of intervals within the media program that lead up to the marker and a second set of intervals within the media program that immediately follow the marker and determine a set of audio characteristics associated with the first set of intervals and the second set of intervals. The technique further includes generating a plurality of scores for the plurality of markers based on the set of audio characteristics for each marker and inserting additional content at one or more markers included in the plurality of markers based on the plurality of scores.