Remix Analysis System Identifying Popular Media Segments
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The standard video authoring process is hindered by obstacles for novice users, including obtaining source media, navigating copyright and DRM issues, and sharing edited content, which limits the dissemination of user-generated video remixes.
Innovation Solution
A system and method for identifying popular segments of media objects by analyzing user-generated playlists, determining their relative popularity, and triggering actions such as changing payment terms and notifying interested parties, facilitating the easy remixing and sharing of video content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If users follow the standard video authoring process to create and share remixes, then they can produce edited video content, but they face multiple obstacles including obtaining source media, navigating copyright and DRM issues, and sharing edited content
Solution Approach 1:
The patent segments the video content into reusable clips that can be independently selected and combined. The system breaks down the complex video authoring process into simplified steps: selecting from pre-organized clips, automatic remixing through algorithmic combination, and one-click sharing. This segmentation eliminates the need for users to manually edit video timelines or navigate complex software interfaces.
Solution Approach 2:
The patent introduces an intermediary automated remixing system that acts as a mediator between source video content and final remix outputs. This intermediary service handles the complex tasks of clip selection, sequencing, and rendering, allowing users to bypass the complexity of traditional video editing software while still producing professional-quality remixes.
2Loss of information
If the system tracks and analyzes user-generated playlists to identify popular segments, then it can provide valuable popularity information and feedback, but it requires accessing and analyzing large volumes of user data
Solution Approach 1:
The patent extracts only the essential information needed for popularity analysis from user playlists - specifically, which video clips are selected and in what sequence. Rather than processing entire playlist metadata, user profiles, or playback histories, the system extracts just the clip identification and sequencing information, dramatically reducing the data volume while preserving the popularity insights.
Solution Approach 2:
The patent performs preliminary indexing and categorization of video clips before user remixing occurs. Clips are pre-tagged with metadata, organized by genre, mood, and other relevant attributes. This preliminary action allows the system to quickly aggregate and analyze popularity patterns across thousands of playlists without processing raw data each time, as the foundational structure is already in place.
Data Source
AI summary
Against this backdrop systems and methods have been developed for identifying popular segments of media objects. A remix system is provided to users allowing the easy remixing of a library of media objects. The remixes created by the users are recorded. From this information, the relative popularity of the segments and media objects in the library are identified based on how often they appear in the user-generated remixes. Actions may then be automatically taken related to the popularity of segments and media objects such as changing payment terms, alerting users of the popular content, and notifying interested parties of the popular or unpopular content.