Video Interval Voting System for Popular Clip Identification
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Solution Overview
Problem
Current video hosting platforms lack the ability to identify and navigate to the most popular portions of a video, as user ratings are for the entire video and not specific intervals, making it difficult for users to find and view only the most engaging parts.
Innovation Solution
A system that allows users to vote on intervals within videos, clustering votes to identify popular intervals, and generating clips based on the highest voted intervals, enabling the determination of most popular clips within a single video or across multiple videos.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If user ratings are provided for entire videos, then users can rate and discover videos, but users cannot identify which specific portions of videos are most interesting
Solution Approach 1:
The patent segments the video into multiple intervals and allows users to vote on specific intervals rather than rating the entire video. This segmentation enables identification of popular portions while maintaining system simplicity through modular vote collection and processing.
Solution Approach 2:
The patent introduces an intermediary processing system that collects votes for different video intervals, clusters them to identify popular portions, and presents results to users. This intermediary layer bridges the gap between simple user voting and complex video analysis requirements.
2Productivity
If users must view entire videos to find popular portions, then complete video content is preserved, but user time and efficiency are reduced
Solution Approach 1:
The system performs preliminary analysis by collecting and clustering votes to identify popular video intervals before users need to view the content. This preliminary action creates a navigation guide that allows users to directly access popular portions without watching entire videos.
Solution Approach 2:
The patent extracts and highlights the popular portions of videos based on vote clustering, separating these key segments from the rest of the video content. This extraction enables users to navigate directly to interesting parts without viewing unnecessary content.
3Measurement precision
If votes are collected for multiple intervals, then popular portions can be identified, but data processing complexity increases
Solution Approach 1:
The patent transforms vote data by clustering intervals based on temporal proximity and vote concentration. This parameter transformation converts raw vote counts into identified popular portions, improving identification accuracy while managing processing complexity through systematic clustering algorithms.
Data Source
AI summary
A system and method is provided for identifying popular intervals in online hosted videos. To determine popular intervals associated with a video, a plurality of votes for one or more intervals of the video are collected and organized into a plurality of groups. Each group includes votes for intervals of the video that are similar to each other. A group having the highest number of votes is identified, and a most popular clip of the video is formed based upon the intervals in the group with the highest number of votes. This process can be carried out to determine the groups having the second and third highest number of votes in a single video to form the second and third most popular clips in that video, as well as across numerous videos to identify the most popular clips within different videos.