Social Network Data Filtering for Video Content Segmentation
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Solution Overview
Problem
The challenge is to allow individuals to enjoy broadcast TV, radio, or Internet-distributed programs without the need to watch them in entirety, leveraging online Social Networks to identify and select relevant parts based on user reactions.
Innovation Solution
A method and system that monitor and filter social network data related to video and/or audio content, identifying peaks in user reactions to select and extract relevant parts, which can be made available to users as a service.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If users watch entire broadcast programs, then they can enjoy complete content, but they spend excessive time on content consumption
Solution Approach 1:
The system extracts and isolates only the most relevant and interesting segments from complete broadcast programs based on social network analysis. By taking out specific high-value portions (peak moments identified through social media reactions) rather than requiring users to consume entire programs, the system reduces time expenditure while preserving the most valuable content elements.
Solution Approach 2:
The patent segments broadcast programs into discrete, analyzable portions based on social network data patterns. By dividing the continuous content stream into segments marked by social media reaction peaks, the system enables selective presentation of relevant portions, allowing users to consume only segmented high-value content rather than complete programs.
2Measurement precision
If the system analyzes complete video content, then it can identify all relevant parts, but the processing time and computational resources increase
Solution Approach 1:
The system performs preliminary analysis by monitoring social network data in real-time during program broadcast to identify peak moments and relevant segments. This preliminary action based on external social media signals allows the system to pre-identify interesting portions before user requests, reducing the need for complete post-broadcast analysis and enabling faster retrieval and delivery of relevant content.
Solution Approach 2:
The patent introduces social network data as an intermediary layer between the broadcast content and user requests. Instead of directly analyzing complete video content to identify relevant parts, the system uses social media reactions (tweets, posts, likes) as a mediator to signal interesting moments, significantly reducing the computational burden of content analysis while maintaining high identification accuracy.
3Ease of operation
If the system uses social network data to select content parts, then it can enhance user experience, but it requires integration with multiple external platforms
Solution Approach 1:
The system is designed with multi-functionality to handle various social network platforms (Twitter, Facebook, Google+) through a unified analysis framework. By creating a universal interface that can process different types of social media data (tweets, posts, likes, shares) from multiple platforms, the system enhances user experience through diverse data sources while managing integration complexity through standardized processing methods.
Data Source
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AI summary
A method is proposed comprising: - receiving (115,120,145) at least one video and/or audio content distributed to a plurality of individuals; - monitoring (140) Social Network data of at least one online Social Network (110), wherein the monitored Social Network data are directly or indirectly related to the received video and/or audio content; - filtering the monitored Social Network data of the at least one online Social Network related to (150) the received video and/or audio content by applying at least one filtering criterion based on a predetermined metric, for identifying at least one part of the received video and/or audio content; - extracting (150) from the received video and/or audio content said at least one identified part, and - making available (155) to a user (125) the selected at least one part of the video and/or audio content.