Context-Based Image Overlay for Travel Experience Organization
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Solution Overview
Problem
Social network sites lack effective mechanisms for organizing and viewing photographic images related to common activities or locations, requiring users to sequentially view individual images without a cohesive or interactive way to visualize shared travel experiences.
Innovation Solution
A processor-based system generates a knowledge base of activity-related image objects from published images, performs contextual analysis to identify activities and locations, and overlays relevant information on new images, creating interactive maps and hotspots that link to additional information and user experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users view images sequentially individually, then each image can be examined in detail, but users cannot easily visualize shared travel experiences or common activities across multiple images
Solution Approach 1:
The patent combines multiple individual images into a single composite image that displays multiple photographs simultaneously. This merging allows users to view shared travel experiences and common activities across multiple images at once, rather than sequentially viewing each image individually. The composite image integrates geographical location data and activity recognition results to show related images together, resolving the contradiction between detailed examination and visualization of shared experiences.
Solution Approach 2:
The patent adds a geographical spatial dimension to image viewing by mapping images to their location data and displaying them in a composite image with spatial relationships. This transforms the traditional sequential one-dimensional viewing into a two-dimensional spatial layout where users can see multiple images and their geographical contexts simultaneously, enabling easy visualization of shared travel experiences.
2Ease of operation
If a composite image displays multiple photographs, then users can easily view shared experiences, but the device complexity increases
Solution Approach 1:
The system performs automated image analysis by extracting geographical location data and activity information from image metadata and content automatically. The activity recognition module and location-based sorting operate without manual intervention, allowing the system to self-organize images into meaningful composites. This automation reduces the operational complexity for users while maintaining sophisticated image processing capabilities.
Solution Approach 2:
The patent pre-processes images by extracting geographical location data and activity information during image upload or before composite generation. This preliminary analysis stores structured data that enables rapid composite image creation later without requiring complex real-time processing, thereby reducing device complexity during the viewing phase while maintaining advanced processing capabilities.
3Measurement precision
If the system performs contextual analysis to identify activities and locations, then accurate information can be overlaid, but processing time increases
Solution Approach 1:
The system performs contextual analysis and extracts activity information from image metadata and content in advance, before composite image generation. This preliminary processing stores structured activity data that can be quickly retrieved and displayed during composite creation, achieving high measurement precision for activity identification while minimizing processing time during user interaction.
Data Source
AI summary
An example method for extracting information from images published to a network site includes generating a knowledge base of stored activity related image objects from the published images, wherein each activity related image object is indicative of an activity, and wherein each activity related image object is associated with an image location of the published images; performing a contextual analysis of a new image published to the network site to identify a new activity, to determine an activity position of the activity, and to determine a new image location; identifying a stored activity related image object from the knowledge base as relating to the new image location based on the image location of the published images; and overlaying an indicium of the stored activity related image object identified as relating to the image location of the new image on the new image.