Speech Recognition Video Ad Selection System
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Solution Overview
Problem
Current methods for tailoring advertisements to non-textual media content, such as video, are not well developed, resulting in advertisements often being unrelated to the media content, and require manual selection for consistency.
Innovation Solution
A computer-implemented advertisement display system that uses a speech recognition component to process video clips and produce speech recognition data, which is then used by an advertisement selection component to choose relevant advertisements from a collection, and displays them during the video playback, allowing for dynamic ad transitions based on content analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual selection is used to assign advertisements to non-textual content, then advertisement consistency with subject matter is improved, but device complexity and time consumption increase
Solution Approach 1:
The system enables automatic advertisement selection by having the computer system perform content analysis and ad matching itself, eliminating the need for manual human intervention in the ad selection process while maintaining consistency with the media content subject matter
Solution Approach 2:
The patent replaces the manual mechanical process of ad selection with an automated computer-implemented system that uses content analysis, speech recognition, and algorithmic matching to select and serve advertisements based on the analyzed content
2Reliability
If manual selection is used to assign advertisements to non-textual content, then advertisement consistency with subject matter is improved, but time consumption increases
Solution Approach 1:
The system performs content analysis, speech recognition, and keyword extraction in advance before advertisement selection is needed, creating a prepared state that enables rapid automatic ad matching without time-consuming manual intervention at the moment of ad delivery
Solution Approach 2:
The automated system performs the entire ad selection process independently without requiring human time investment, allowing the system to serve contextually relevant advertisements instantly based on pre-analyzed content
3Productivity
If automated components are used for text-based ad selection, then productivity is improved, but adaptability to non-textual media worsens
Solution Approach 1:
The system creates a universal automated ad selection platform that can handle multiple media types (text, video, audio, podcasts) through a common content analysis architecture that adapts to different media formats using speech recognition and keyword extraction techniques
Solution Approach 2:
The patent introduces speech recognition and content analysis components as intermediaries that translate non-textual media content into processable text and keyword data, enabling the automated ad selection system to work with various media types through a unified interface
Data Source
AI summary
Embodiments of a computer-implemented advertisement display system are disclosed. In one embodiment, the system includes a speech recognition component that processes a video clip and produces a corresponding collection of speech recognition data indicative of an audio portion of the video clip. The system also includes a collection of advertising material. An advertisement selection component selects an advertisement from the collection of advertising material based on the corresponding collection of speech recognition data. The system also includes a display. An advertisement presentation component displays an indication of the selected advertisement on the display during a simultaneous display of the video clip.