Server Advertisement Setting Method Using Video Target Image Detection
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Solution Overview
Problem
Existing methods for delivering advertisements during sporting events or similar gatherings using social networking services are not effective as they rely on incomplete information, leading to inefficient targeting of potential clients.
Innovation Solution
A server system that acquires video and chat data from sporting events, determines the presence of target images indicating advertisement clients, and generates advertisement setting data to display relevant advertisements on external displays during the event.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If advertisements are delivered based on information extracted from free exchange of communication among users, then advertisement delivery can be performed, but the information obtained is not always useful for effective advertisement delivery
Solution Approach 1:
The system segments information sources into multiple categories: communication data from social networking services, video data from broadcast sources, and metadata data from various databases. By dividing the information gathering process into these segments, the system comprehensively collects useful information that would be missed by relying solely on communication data, thereby improving advertisement delivery effectiveness while reducing information loss.
2Measurement precision
If multiple data sources are integrated to obtain more useful information, then advertisement targeting accuracy improves, but system complexity increases
Solution Approach 1:
The system introduces a server as an intermediary that centralizes the complex tasks of collecting data from multiple sources (communication data, video data, metadata), analyzing the information, and generating advertisement delivery instructions. This intermediary approach allows multiple data sources to be integrated without increasing the complexity of individual client devices, while still achieving high advertisement targeting accuracy through comprehensive data processing.
3Productivity
If advertisements are displayed during video playback, then advertisement delivery is achieved, but the timing and relevance may not be optimized
Solution Approach 1:
The system uses feedback from analyzing video data and communication data to dynamically determine the optimal timing for advertisement delivery. By continuously monitoring the video content and user communications, the system receives feedback about user interest and context, then adjusts advertisement timing to maximize relevance and effectiveness, reducing the loss of time and ensuring advertisements are displayed at the most appropriate moments.
Data Source
AI summary
A server includes: a video data acquiring unit configured to acquire video data in which a game is imaged; a storage configured to store the video data; an image determining unit configured to determine whether or not target image data, which is data of a target image indicating an advertisement client, is included in the stored video data; an advertisement setting unit configured to generate, when the target image data is included in the video data, advertisement setting data at a time when video based on the video data is displayed in an external display, the advertisement setting data being to be used for displaying, in the external display, an advertisement of the advertisement client corresponding to the target image; and a communication unit configured to be capable of sending the video data and the advertisement setting data to outside.