Video Object Selection for Online Conversations
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Solution Overview
Problem
Current methods for sharing media content, such as videos, require conscious user effort and are not conducive to frequent sharing or sharing with multiple groups, limiting their reach and engagement.
Innovation Solution
A system and method for identifying and presenting video objects linked to a source video by analyzing demographic attributes and conversation keywords, allowing video objects to be automatically selected and shared within online conversations, enabling seamless integration of video content into messages and comments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual sharing methods are used, then users can share video content, but user effort and time consumption increase
Solution Approach 1:
The system automatically identifies and selects relevant video objects for sharing based on conversation context and user demographics without requiring manual user intervention. The automated selection process analyzes conversation keywords, determines appropriate video content, and presents ready-to-share video objects, allowing the system to serve itself in the content selection task.
Solution Approach 2:
The system pre-identifies and prepares relevant video objects before the user actually shares content. By analyzing conversation context, keywords, and user demographics in advance, the system has video objects ready for immediate sharing, eliminating the time users would otherwise spend searching for appropriate content.
2Productivity
If automated video selection is implemented, then sharing efficiency increases, but system complexity increases
Solution Approach 1:
The automated video selection system is divided into distinct functional modules: conversation analysis module that extracts keywords, demographic analysis module that processes user attributes, video matching module that selects appropriate content, and presentation module that displays video objects. This segmentation allows each component to handle a specific task, improving overall efficiency while managing complexity through modular design.
Data Source
AI summary
Methods, systems, and media for identifying video objects linked to a source video are provided. In some embodiments, the method comprises: identifying demographic attributes corresponding to a first user participating in an online conversation; determining at least one keyword associated with the online conversation, wherein the keyword indicates a topic of the online conversation; identifying a video object based at least on the demographic attributes and the at least one keyword, wherein the video object comprises a portion of a video; causing the identified video object to be presented in a group of video objects on a first user device associated with the first user; receiving an indication that the identified video object has been selected on the first user device for inclusion in a message in the online conversation; and causing the identified video object to be presented on a second user device associated with the second user.