Geolocation-Based Ad Placement on Panoramic Images
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Solution Overview
Problem
Traditional banner advertisements are limited in their ability to utilize geographic information systems (GIS) for dynamic placement on photographic images of geolocations, failing to leverage the geolocation-specific context for targeted advertising.
Innovation Solution
A system and method that retrieves photographic images associated with user-defined geolocations, analyzes these images to determine optimal placement positions, and overlays advertisements based on geolocation-specific criteria, including user profiles and auction outcomes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If banner advertisements are placed in predefined positions on webpages, then the placement is simple and consistent, but the ability to utilize geolocation-specific context for targeted advertising is lost
Solution Approach 1:
The system performs preliminary analysis of photographic images from GIS to identify suitable advertisement placement regions before advertisements are assigned. Image analysis is conducted in advance to detect edges, textures, and semantic regions, creating a prepared framework for subsequent advertisement overlay that adapts to geolocation context
Solution Approach 2:
An intermediate image analysis layer is introduced between the advertisement selection system and the final display. This layer processes photographic images to identify optimal placement regions, acting as a mediator that translates raw images into advertisement-ready zones while preserving geolocation-specific context
2Adaptability or versatility
If photographic images from GIS are used for advertisement placement, then geolocation-specific targeted advertising is enabled, but the complexity of analyzing and determining optimal placement positions increases
Solution Approach 1:
The photographic image is segmented into multiple regions based on visual features such as edges, textures, and semantic content. This segmentation divides the complex image analysis task into manageable regions, allowing the system to identify suitable advertisement placement zones without analyzing the entire image uniformly
Solution Approach 2:
Different regions of the photographic image are evaluated with different criteria for advertisement suitability. The system applies local quality assessment by analyzing specific regions' visual characteristics and determining their appropriateness for advertisement placement based on local rather than global image properties
3Productivity
If advertisements are dynamically placed on photographic images based on geolocation, then user engagement is enhanced, but the processing time and computational resources required increase
Solution Approach 1:
Image analysis and placement region identification are performed in advance before advertisement assignment. The system pre-processes photographic images to create a framework of suitable placement zones, so that when advertisements need to be displayed, the heavy computational work has already been completed
Solution Approach 2:
The system creates a simplified representation or copy of the image structure (placement regions, edges, textures) that can be used for advertisement overlay without repeatedly analyzing the original high-resolution image. This copy enables faster advertisement placement while maintaining visual quality
Data Source
AI summary
Systems, methods, and computer storage mediums for placing advertisements on photographic images of geolocations. The method includes retrieving a photographic image associated with a geolocation, where the geolocation is based on a user action. An advertisement to place on the photographic image is also retrieved based on at least the geolocation. The photographic image is then analyzed to determine a position on the photographic image for placing the advertisement. Finally, the advertisement is placed at the determined position on the photographic image.