Interactive Video Pathway Classification System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Interactive videos lack classification data for their content pathways, making it difficult for content platforms to categorize and recommend suitable videos to users, leading to suboptimal user experiences and inefficient resource utilization.
Innovation Solution
A method that automatically classifies interactive video pathways using genre classifiers, allowing for categorization and recommendation of video segments based on user preferences and interests, ensuring that users view content aligned with their interests and the context of the scenario.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all video pathways in interactive videos are classified and categorized, then content recommendation accuracy is improved, but processing time and computational resources increase significantly
Solution Approach 1:
The patent segments the video content into distinct pathways based on user choices and interactions. Each pathway is independently classified and categorized, allowing parallel processing and reducing overall processing time while maintaining comprehensive classification coverage.
Solution Approach 2:
The system performs preliminary classification on video segments and pathways in advance, before actual user viewing. Classification data is pre-computed and stored, so when users access content, the heavy processing has already been completed, significantly reducing real-time processing requirements.
2Adaptability or versatility
If comprehensive classification data is generated for all video pathways, then user experience is improved through better content matching, but system complexity and processing overhead increase
Solution Approach 1:
The patent applies different classification strategies and data collection methods to different video pathways based on their specific characteristics. High-priority or frequently accessed pathways receive more detailed classification, while less important pathways use simplified classification, optimizing the balance between quality and complexity.
Solution Approach 2:
The system uses a unified classification framework and data structure that can handle multiple video pathways and content types simultaneously. This universal approach reduces overall system complexity by avoiding the need for separate classification systems for each pathway while still providing tailored classification quality.
3Loss of information
If classification is performed on all video segments including intermediate segments with multiple choices, then complete content categorization is achieved, but processing resources are wasted on pathways users will not view
Solution Approach 1:
The system performs classification on essential video pathways that are most likely to be viewed by users, rather than exhaustively classifying all possible pathways. This partial action approach provides sufficient classification coverage for actual user needs while avoiding the excessive computational cost of complete classification of every possible video segment and pathway.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, identify and classify the various video pathways in an interactive video based on the content of these video pathways. A video comprising multiple video segments is obtained from a video library. Each video segment is directly linked to at least one other video segment and the multiple video segments comprise a beginning segment, intermediate segments (including interactive segments), and final segments. Multiple video pathways in the video are identified. For each identified video pathway, classification data is generated and each such video pathway is then stored in the video library. When the video is selected from a particular category of the video library, the video segments of a video pathway that has a classification which is the same as the classification associated with the particular category, is then displayed.