ImageWiki Application Indexing and Context Extraction
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Solution Overview
Problem
There is currently no efficient method for searching and obtaining information about images available on the Web, as existing technologies are inadequate for handling the large amount of image data and providing meaningful insights.
Innovation Solution
The ImageWiki application indexes images on the Web, extracts related information from various sources, and generates a web page for each image, including a caption, file information, a story, related images, videos, news events, and Wiki entries, making the information searchable and understandable.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional web search methods are used for images, then text-based information can be retrieved, but image-specific information and context cannot be effectively obtained
Solution Approach 1:
The patent introduces an intermediary system (image search application with wiki page generation) that bridges the gap between image data and meaningful information retrieval. The system acts as a mediator between users and image databases, automatically generating structured wiki pages that contain both image data and contextual information, thereby enabling effective image-specific search without requiring users to manually extract or organize information.
2Loss of information
If manual creation of image information pages is performed, then accurate and detailed information can be provided, but the process is time-consuming and cannot scale to large amounts of image data
Solution Approach 1:
The system implements self-service by automatically generating wiki pages for images without requiring manual intervention. The image search application autonomously retrieves image data, extracts contextual information, structures the content, and generates complete wiki pages automatically. This self-organizing capability allows the system to handle large volumes of image data efficiently while maintaining comprehensive information quality.
Solution Approach 2:
The system performs preliminary actions by pre-processing and organizing image data into structured wiki pages before user queries are submitted. The automatic generation of contextual information, captions, and related content occurs in advance, so when users search for images, the information is already prepared and readily available, eliminating the need for real-time information gathering and processing.
3Loss of information
If comprehensive information is aggregated for each image, then the quality and completeness of image descriptions improve, but the complexity of the system increases
Solution Approach 1:
The patent applies universality by designing a multi-functional image search application that simultaneously performs multiple tasks: image retrieval, information extraction, wiki page generation, and search optimization. This single system handles diverse functions that would otherwise require separate components, reducing overall system complexity while maintaining comprehensive information aggregation capabilities across all image processing stages.
Data Source
AI summary
An ImageWiki architecture is used to generate an image-based web page for an image on the Web. An ImageWiki page may be created automatically or individually, by a user of the Web. Additionally, a user may revise existing ImageWiki pages to update a particular page or correct an incorrect or misleading previous entry. The ImageWiki application indexes images located on the Web. Once the images are indexed, the information related to the images is mined and extracted from various sources of web data. Finally, an ImageWiki page or web page is generated for each image. The resulting ImageWiki page contains the image as well as the aggregated information relating to the image.