Advertisement Detection Using User Operation Statistics
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Solution Overview
Problem
Existing methods for detecting advertisements in TV programs are inaccurate due to the complexity of video signals, leading to misjudgments and high staff costs, especially when viewers need to manually operate across multiple channels and broadcast stations.
Innovation Solution
A system and method that uses a statistical approach based on user operations to determine advertisement times, employing an advertising time server and program subscriber apparatuses to collect and integrate user-generated data, allowing for accurate detection without relying on image content analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If image analysis methods are used to detect advertisements, then advertisement detection can be automated, but accuracy varies with program content leading to misjudgments
Solution Approach 1:
The patent introduces audio signals as an intermediary element to detect advertisements. Instead of directly analyzing video content, the system uses audio discontinuity and audio features (such as silence detection, audio level changes, and audio pattern recognition) as a mediator to identify advertisement boundaries. This intermediary approach avoids the complexity of video content analysis while maintaining high detection accuracy.
Solution Approach 2:
The patent changes the detection parameter from visual features to audio features. By monitoring audio level changes, silence periods, and audio pattern transitions, the system detects advertisement start and end points. This parameter change transforms the detection problem from complex image recognition to simpler audio signal analysis, improving both automation and accuracy.
2Measurement precision
If manual operation is used to reduce misjudgments, then advertisement detection accuracy improves, but staff costs increase significantly
Solution Approach 1:
The patent enables the system to detect and remove advertisements automatically without human intervention. The audio-based detection algorithm autonomously identifies advertisement boundaries, and the system automatically skips or removes detected advertisements during playback. This self-service capability eliminates the need for manual review while maintaining high accuracy, thereby reducing staff costs significantly.
3Reliability
If advertisements are kept in recorded programs, then complete program recording is maintained, but recording media space is wasted
Solution Approach 1:
The patent extracts advertisements from recorded programs by detecting them through audio analysis. Once detected, the advertisement segments are removed or skipped during playback, leaving only the actual program content. This extraction process maintains the integrity of the program content while eliminating wasted space from advertisement segments in the recording media.
Data Source
AI summary
A system and a method for processing a program with inserted advertisements are provided. The system includes a plurality of program subscriber apparatuses, an advertising time server and a program-processing device, all of which are in communication with a network. At first, the program subscriber apparatuses generate a plurality of advertising time information in response to the operations of the program subscriber apparatuses by users. Then, the advertising time database integrated the advertising time information to provide an advertising time database having therein a plurality of representative advertising time information. The program-processing apparatus can process a specific program according to the representative advertising time information.