Direct Response Ad Detection and Grouping via Character String Matching
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Solution Overview
Problem
Existing systems fail to detect and classify direct response advertisements in broadcast streams and cannot group them based on identicalness or changed forms, limiting the ability to provide statistical information for evaluating advertising efficiency.
Innovation Solution
A system and method that includes an advertisement candidate segment generation unit, a matching unit, a direct response advertisement determination unit, a registration unit, and a grouping unit to identify and categorize direct response advertisements by checking for pre-designated character strings or audio signals, and grouping them based on identicalness using region and time information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional advertisement detection methods are used to determine whether an advertisement is being played, then basic advertisement detection is achieved, but the ability to detect and classify direct response advertisements is lost
Solution Approach 1:
The advertisement detection process is segmented into multiple specialized units: a direct response advertisement determination unit that checks for pre-designated character strings, and a grouping unit that classifies advertisements by identicalness. This segmentation allows the system to maintain basic detection accuracy while adding specialized classification capabilities for direct response advertisements.
Solution Approach 2:
The advertisement detection system is enhanced with multi-functionality by integrating both general advertisement detection and specialized direct response advertisement classification functions into a single system. The system can detect all advertisements while simultaneously identifying and classifying direct response advertisements based on specific criteria such as pre-designated character strings.
2Loss of information
If statistical information about changed advertisement forms is collected, then advertising efficiency evaluation is improved, but system complexity increases
Solution Approach 1:
The system creates simplified representations (copies) of advertisements by extracting key features such as pre-designated character strings and region information. These copies are stored in a database and used for comparison and grouping, reducing the complexity of handling full advertisement content while preserving essential information for classification and statistical analysis.
Solution Approach 2:
The system transforms advertisement data into standardized parameters including region information, time information, and pre-designated character string presence. By changing the representation parameters of advertisements into structured, comparable formats, the system enables efficient grouping and statistical analysis without requiring complex processing of raw advertisement content.
3Measurement precision
If pre-designated character strings are checked to identify direct response advertisements, then detection accuracy is improved, but processing time increases
Solution Approach 1:
The system performs preliminary action by pre-defining character strings that indicate direct response advertisements and storing them in advance. During advertisement detection, the system only needs to check for the presence of these pre-defined strings rather than analyzing entire advertisement contents, significantly reducing processing time while maintaining high identification accuracy.
Data Source
AI summary
System and method for detecting and classifying direct response advertisements. The system includes a unit for generating an advertisement candidate segment for an advertisement section detected from a broadcast stream; a matching unit for determining whether the candidate segment matches each advertisement segment stored in a database (DB); a unit for, if the matching unit determines that a segment matching the candidate segment is not present, determining whether the candidate segment is a direct response advertisement; a registration unit for storing the candidate segment, determined to be a direct response advertisement, as an advertisement segment that is the direct response advertisement in the DB; and a direct response advertisement grouping unit for, if the matching unit determines that an advertisement segment matching the candidate segment is present, and the matching segment is a direct response advertisement, grouping the candidate segment with DB-stored advertisement segments that are direct response advertisements.