Automated Collaborator Annotation via Authentication Data
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Solution Overview
Problem
Content creators lack effective methods to annotate and credit collaborators involved in video content uploaded to video sharing and hosting services, resulting in a lack of collaborator information being associated with media content.
Innovation Solution
A method and system that automatically determine collaborator information based on user authentication data, allowing content creators to associate and present collaborator information with media content, including roles and revenue sharing details, without user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If content creators manually annotate collaborator information for video content, then collaborator credits can be accurately recorded, but the process becomes time-consuming and complex
Solution Approach 1:
The system automatically identifies and annotates collaborator information using authentication data from user accounts, allowing the platform to self-serve the annotation function without requiring manual intervention from content creators. The system extracts collaborator identities from authentication records and automatically associates them with the video content.
Solution Approach 2:
The system performs collaborator identification in advance by utilizing authentication data that is already collected during user login and interaction processes. By pre-processing the authentication information and maintaining user profiles, the system prepares collaborator data before the annotation is needed, eliminating the need for manual input at the time of upload.
2Productivity
If content creators upload video content without collaborator annotations, then the upload process remains simple and quick, but collaborator information is lost and cannot be credited
Solution Approach 1:
The platform automatically captures and processes collaborator information from authentication data during the upload process, making the information retrieval self-serving without adding manual steps for content creators. The system autonomously extracts collaborator identities and associates them with the uploaded content.
Solution Approach 2:
The authentication system serves multiple functions: it not only verifies user identities for accessing the platform but also simultaneously collects and stores collaborator information for future annotation purposes. This multi-functional use of authentication data prevents information loss while maintaining process efficiency.
3Measurement precision
If the system automatically determines collaborator information from authentication data, then annotation accuracy improves, but system complexity increases
Solution Approach 1:
The system leverages the existing authentication infrastructure to serve dual purposes: user verification and collaborator identification. By making the authentication system multi-functional, the patent avoids building a separate complex identification system, thus improving accuracy without proportionally increasing overall system complexity.
Solution Approach 2:
The patent uses user authentication data as an intermediary to bridge the gap between user identification and collaborator annotation. This intermediary approach allows the system to accurately identify collaborators through existing authentication records without requiring direct manual input or complex new identification mechanisms.
4Extent of automation
If manual collaborator annotation is required, then system automation remains simple, but the ease of operation decreases due to additional steps
Solution Approach 1:
The system performs the annotation function autonomously by automatically extracting collaborator information from authentication data and associating it with video content. This self-service approach eliminates the need for content creators to manually fill out collaborator information, thereby increasing automation without complicating the user's operational experience.
Solution Approach 2:
By pre-collecting and storing authentication data during user login and interaction, the system prepares collaborator information in advance. This preliminary action ensures that when video content is uploaded, the annotation can occur automatically without requiring additional user steps, maintaining simplicity while achieving high automation.
Data Source
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AI summary
Methods, systems, and media for recommending collaborators of media content based on authenticated media content input are provided. In some implementations, the method comprises: receiving a request from a content creator to initiate presentation of broadcasted media content using a media device, wherein the request invites a plurality of users to participate in the broadcasted media content; determining that a user of the plurality of users has interacted with the broadcasted media content, wherein the user has been permitted to interact with the broadcasted media content in response to providing user authentication information; determining collaborator information associated with the user based on the user authentication information; and automatically causing, without user interaction, the determined collaborator information to be presented to the content creator for associating with the broadcasted media content.