Video Aggregation System Using Metadata Comparison
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Solution Overview
Problem
Users face difficulties in finding and viewing multiple videos of an event from different angles or higher quality versions, as existing video sharing and hosting services require extensive searching through millions of videos, which is time-consuming and frustrating.
Innovation Solution
A method and system that aggregates and presents multiple videos of an event by comparing metadata such as location, timing, audio, and brightness information from various camera devices, grouping videos that depict the same event, and displaying them to viewers upon request.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a video sharing service hosts millions of videos, then the service provides comprehensive video coverage, but the difficulty and time required for viewers to find specific event videos increases significantly
Solution Approach 1:
The patent introduces an intermediary system that acts as a mediator between the vast video repository and the viewer. This system uses metadata comparison (location, timing, audio, brightness) to automatically group related videos together, providing viewers with a curated set of relevant videos rather than requiring them to search through millions individually. The intermediary processing layer transforms the unmanageable large-scale video collection into organized, event-based groups.
Solution Approach 2:
The patent segments the large collection of videos by organizing them into event-based groups using metadata analysis. Instead of presenting videos as a single undifferentiated mass, the system divides them into meaningful segments (events) based on comparing location information, timing information, audio similarity, and brightness levels. This segmentation makes the video library navigable and searchable by event rather than requiring manual filtering of individual videos.
2Adaptability or versatility
If viewers manually search and filter through videos to find different angles or higher quality versions, then they can locate alternative videos, but the process becomes time-consuming and frustrating
Solution Approach 1:
The patent performs preliminary actions by automatically comparing metadata from multiple videos before the viewer even begins searching. The system pre-groups videos by event using location information, timing information, audio similarity, and brightness level comparisons. This preliminary organization eliminates the need for viewers to manually filter and search, as the alternative videos are already prepared and presented in organized groups based on event关联性.
3Measurement precision
If the system compares multiple metadata parameters to accurately group videos by event, then the accuracy of video grouping improves, but the computational complexity and processing requirements increase
Solution Approach 1:
The patent applies partial action by selectively comparing specific metadata parameters (location, timing, audio, brightness) rather than analyzing entire video contents. This approach achieves sufficient accuracy for event grouping without the excessive computational burden of full video analysis. The system compares only the necessary metadata elements required to determine event关联性, avoiding unnecessary processing complexity.
Data Source
AI summary
Methods, systems, and media for aggregating and presenting multiple videos of an event are provided. In some implementations, a method for identifying related video content is provided, the method comprising: receiving a first video and first video metadata that describes the first video from a first camera device; receiving a second video and second video metadata that describes the second video from a second camera device; comparing the first video metadata and the second video metadata; determining whether the first video and the second video are associated with an event based on the comparison; in response to determining that the first video and the second video are associated with the event, grouping the first video and second video into a plurality of videos associated with the event; and causing the plurality of videos to be displayed to a viewer based on the viewer requesting at least one of the plurality of videos.