Video Ad Selection via Mood Analysis
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Solution Overview
Problem
Existing video streaming systems face challenges in increasing user acceptance of additional information, such as commercials, which are often perceived as disruptive and reduce the overall value for the user.
Innovation Solution
A method that assigns mood information to additional information and analyzes the video content using sentiment analysis to select the appropriate additional information and its display position, ensuring a harmonious transition between video content and commercials.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If additional information (commercials) is inserted into video streams, then revenue generation and advertising effectiveness are improved, but user acceptance and viewing experience deteriorate
Solution Approach 1:
The patent applies local quality by analyzing specific mood segments within the video content and matching commercials to corresponding mood states. Different portions of the video stream receive different commercial insertions based on their emotional characteristics, rather than applying a uniform commercial insertion strategy throughout the entire video.
Solution Approach 2:
The patent changes the parameter of commercial selection based on mood analysis results. By detecting emotional states in video content and using these as selection criteria, the system dynamically adjusts which commercials are inserted, transforming the static commercial insertion process into a dynamic, mood-dependent selection process.
2Reliability
If commercials are displayed at fixed positions in video streams, then advertising delivery is simplified and reliable, but user acceptance and emotional harmony deteriorate
Solution Approach 1:
The patent transforms the static, fixed-position commercial insertion approach into a dynamic system that adapts to the emotional content of the video. Commercial insertion positions and selections are determined dynamically based on real-time mood analysis of the video content, allowing the system to respond to changing emotional states in the video stream.
3Measurement precision
If mood analysis is performed on video content, then commercial selection accuracy and user acceptance are improved, but system complexity and processing requirements increase
Solution Approach 1:
The patent replaces complex manual or rule-based commercial selection mechanisms with an automated mood analysis system. By using computational methods to detect and classify emotional states in video content, the system automates the decision-making process for commercial insertion, reducing the need for manual intervention and complex rule-based systems.
Data Source
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Figure 3
AI summary
In order to achieve an improved selection of additional information (11) and/or a position in a video file (7) for the display of additional information (11), it is proposed that at least one first mood information item (12) is assigned to the additional information (11), the content of the video file (7) is examined at least partially with regard to the occurrence of at least one further mood information item (10), the mood information (10) is assigned to at least one basic mood, and a selection of the additional information (11) to be displayed and/or a selection of a position for displaying additional information (11) takes place depending on the occurrence of the further mood information item (10).