Aggregating User Time Stamps for Video Highlight Generation
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Solution Overview
Problem
Existing methods for identifying and generating video highlights from user-defined bookmarks in sports coverage are inefficient due to variations in user response times, leading to inconsistent clip lengths and storage issues, and struggle to prioritize content effectively for delivery over varying bandwidths.
Innovation Solution
A system that aggregates individual time stamp data from multiple users to determine an aggregated time stamp value and event marker flag, allowing for flexible clip generation and prioritization based on metadata, enabling efficient delivery of highlight clips even over low-capacity networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If individual user time stamp data is used to generate video clips, then user-specific bookmarking is enabled, but variations in user response times lead to inconsistent clip lengths and accuracy
Solution Approach 1:
The patent combines multiple individual time stamp data inputs from different users into a single aggregated time stamp value. This merging process allows the system to maintain user-specific bookmarking capabilities while overcoming the precision issues caused by individual response time variations. The aggregation system processes multiple inputs to produce a consolidated, more accurate time stamp that represents the consensus event time.
Solution Approach 2:
The patent introduces an aggregation system as an intermediary between individual user inputs and the final video clip generation. This intermediary component processes the raw time stamp data from multiple users, applies aggregation algorithms, and produces refined time stamp values. The aggregation system acts as a mediator that transforms individual imprecise measurements into a collective accurate representation of event timing.
2Reliability
If multiple individual time stamp data inputs are collected from users, then more comprehensive event identification is achieved, but storage requirements and data processing complexity increase
Solution Approach 1:
The patent extracts only the essential time stamp information from multiple user inputs through the aggregation process, rather than storing and processing all raw individual data. The aggregation system identifies and extracts the consensus time value from multiple inputs, discarding redundant individual measurements. This extraction approach maintains high event identification reliability while significantly reducing the quantity of data that needs to be stored and processed.
3Ease of manufacture
If video clips are generated with fixed duration based on individual bookmarks, then simple clip creation is achieved, but inconsistent user response times result in variable clip quality and coverage
Solution Approach 1:
The patent changes the fundamental parameter used for clip generation from individual user time stamps to aggregated time stamp values. This parameter change transforms the input basis from variable, user-dependent measurements to a stabilized, consensus-based measurement. The aggregation process modifies the time parameter to reflect collective user input, thereby maintaining simple clip creation procedures while achieving consistent clip content quality and coverage across different users and events.
Data Source
AI summary
Individual time stamp data inputs generated by different viewers of a broadcast or other video output are used to identify parts of the video data to be used to generate a sequence of video clips or “highlights”. The individual time stamps for each event are aggregated to generate a single marker flag (93) for each event, defined for example as the median (95) (or some other point) in the distribution (90) of time stamps.