Personalized Live Broadcast Highlight Generator

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Solution Overview

Problem

Existing systems struggle to provide users with personalized highlights from events, as human-generated highlight reels often fail to include user-specific key moments, leading to inefficiencies in time consumption and computing resources.

Innovation Solution

A personalized highlight creation system that utilizes video data, audio data, and metadata to interpret events and generate personalized highlight reels, aligning music with key moments to create a cohesive viewing experience.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If human-generated highlight reels are used, then the highlights are created with human understanding of the event, but they fail to include user-specific key moments and require excessive time to watch

Engineering Contradiction:

Improvepersonalization capabilityVSAvoiduser viewing time

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system automatically generates personalized highlight reels by analyzing event data and comparing it with user profiles to identify and select key moments relevant to each user, eliminating the need for manual curation and enabling mass personalization at scale

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system changes the parameters of highlight generation by incorporating user-specific attributes (favorite teams, players, event types) into the selection criteria, transforming generic highlights into personalized ones through parameter-based filtering and ranking

Inventive Principle:

Principle #35Parameter changes

2Ease of manufacture

If manual highlight creation is used, then the process is simple to understand, but it consumes excessive computing resources and time

Engineering Contradiction:

Improvehighlight creation processVSAvoidhighlight generation efficiency

Core Design Contradiction:

Ease of manufactureVSProductivity

Solution Approach 1:

The system replaces manual mechanical processes of highlight creation with automated computational processes that use algorithms to analyze event data, user profiles, and performance metrics, dramatically increasing productivity while maintaining ease of use through automated workflows

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Reliability

If generic highlight reels are provided, then they cover universally agreed moments, but they include moments that users are not interested in

Engineering Contradiction:

Improvehighlight accuracyVSAvoiduser preference matching

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

The system applies local quality by tailoring the content of highlight reels to individual user preferences, where each user receives a customized set of highlights based on their specific interests in teams, players, and event types, rather than a uniform generic set

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS12301960B1Live broadcast personalization highlight generator

Publication Date: 2025.05.13 AMAZON TECH INC

AI summary

The system utilizes a broadcast, an event time, and an indication time to accurately identify highlights within a live stream broadcast. The three times can be utilized to determine a start time of the highlight. The start time can be used to generate an interaction element to be displayed to a user. Upon interaction with the interaction element, the broadcast can be shown from the start time.