Video Sharing Service Audio Fingerprinting Metadata Validation
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Solution Overview
Problem
Video sharing services face difficulties in accurately identifying and presenting information related to embedded sound recordings, such as artist information, due to inconsistent metadata across multiple video content items.
Innovation Solution
A method and system that identify a video content item with an embedded sound recording, extract artist information from metadata provided by content owners, and present this information in a user interface, including hyperlinks to associated video content items, using audio fingerprinting and metadata analysis to ensure accurate identification and formatting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple video content items are received for the same video content with inconsistent metadata, then the quantity of content increases, but the accuracy of artist information identification deteriorates
Solution Approach 1:
The patent segments the metadata from multiple video content items into individual metadata records, allowing each to be analyzed separately. By processing metadata from each content owner independently and comparing them, the system can identify consistent artist information across multiple sources while filtering out inconsistencies, thus maintaining identification accuracy despite receiving multiple versions of the same content.
Solution Approach 2:
The patent implements a feedback mechanism where metadata from multiple video content items is compared and validated against each other. The system uses the information from multiple sources to verify and correct artist identification, with inconsistent data triggering additional validation steps. This feedback loop ensures that the final artist information is accurate even when multiple conflicting metadata sets are received.
2Ease of manufacture
If artist information is extracted from metadata provided by content owners, then the ease of information collection increases, but the reliability of artist information deteriorates due to inconsistent metadata
Solution Approach 1:
The patent merges metadata from multiple content owners by comparing and consolidating the information. Instead of relying on a single content owner's metadata, the system combines data from multiple sources, using consensus and validation to determine the most reliable artist information. This merging process maintains the ease of automated collection while significantly improving reliability through cross-validation.
Solution Approach 2:
The patent introduces an intermediary validation process that mediates between conflicting metadata from different content owners. This intermediary layer analyzes the consistency of artist information across multiple sources, resolves conflicts through predefined rules and algorithms, and produces a validated artist identification result, thereby ensuring reliability without sacrificing the automated collection process.
3Productivity
If automated identification of sound recording information is implemented, then the productivity increases, but the difficulty of detecting and measuring accurate artist information worsens
Solution Approach 1:
The patent implements self-service automation where the system automatically extracts, compares, and validates artist information from metadata without requiring manual intervention. The automated process includes built-in validation rules that self-correct inconsistencies by comparing multiple metadata sources, enabling high productivity while maintaining accurate detection through algorithmic verification rather than manual review.
Solution Approach 2:
The patent performs preliminary actions by pre-processing and validating metadata from multiple video content items before final artist identification. The system prepares the data by organizing metadata from multiple sources, pre-comparing them for consistency, and pre-validating artist information against established criteria. This preliminary processing reduces the complexity of the final identification step while maintaining high accuracy through advance validation.
Data Source
AI summary
Methods, systems, and media for determining and presenting information related to embedded sound recordings are provided. In some embodiments, the method comprises: identifying, at a video sharing service, a first video content item that includes an embedded sound recording; identifying a composition associated with the embedded sound recording, wherein the embedded sound recording is a particular version of the composition; identifying one or more artists associated with the composition based on a group of metadata associated with the composition, wherein each item of metadata is provided by a content owner that has provided a sound recording associated with the composition to the video sharing service; identifying a second video content item associated with the embedder sound recording based at least in part on the identified one or more artists; receiving, from a user device, a request to present the first video content item on the user device; and, in response to receiving the request, causing the user device to present a user interface for presenting the first video content item in a first portion of the user interface and information related to the embedded sound recording in a second portion of the user interface, wherein the information related to the embedded sound recording includes indications of the one or more artists and a link to the second video content item.