Faceted Search System with Image Content Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Analysts face challenges in efficiently exploring large, complex data collections to find items of interest, as existing systems lack the ability to reveal characteristics and connect metadata and image content across multiple media types, limiting the discovery of relevant relationships.
Innovation Solution
The development of faceted search systems and methods that preprocess data items to identify multimedia facets based on image data, allowing for the generation of image content facets and their attributes, which are used to facilitate navigation and exploration of large collections, including the use of text engines and content analysis engines for text and image data, respectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If analysts manually explore large data collections without automated facet generation, then they can examine detailed data characteristics, but the time required for exploration increases significantly
Solution Approach 1:
The system performs preliminary action by automatically generating facets and attributes from image data before the analyst needs to explore the collection. The content analysis engine processes images and creates structured facet information in advance, so when the analyst queries the system, the facets are already prepared and can be immediately used for filtering and navigation, significantly reducing exploration time.
Solution Approach 2:
The system implements self-service by having the content analysis engine automatically extract and organize image characteristics into facets without requiring manual intervention. The system serves itself by processing images, identifying objects, colors, and patterns, then structuring this information into usable facet attributes that analysts can leverage for data exploration.
2Productivity
If the system only uses metadata for search facets, then the search process is simple and fast, but the ability to discover relationships across multiple media types is limited
Solution Approach 1:
The system merges metadata-based search capabilities with content-based image analysis by combining traditional text search indexes with automatically generated facets from image data. This integration allows the system to maintain the speed of metadata searching while adding the versatility to discover relationships across multiple media types through unified facet-based filtering.
Solution Approach 2:
The facet generation system provides universality by creating a unified approach that works across different media types. The same facet mechanism can filter and search text documents, images, videos, and audio files using consistent criteria, enabling cross-media relationship discovery while maintaining search efficiency.
3Adaptability or versatility
If the system generates facets from image data, then cross-media relationship discovery is enabled, but the processing complexity increases
Solution Approach 1:
The system applies segmentation by dividing the complex image processing task into separate functional modules: the content analysis engine handles image processing, the facet generator creates structured attributes, and the search engine executes queries. This modular segmentation reduces overall processing complexity by allowing each component to be optimized independently and enabling parallel processing of images and facet generation.
Data Source
AI summary
Search systems and computer-implemented search methods are described. In one aspect, a search system includes a communications interface configured to access a plurality of data items of a collection, wherein the data items include a plurality of image objects individually comprising image data utilized to generate an image of the respective data item. The search system may include processing circuitry coupled with the communications interface and configured to process the image data of the data items of the collection to identify a plurality of image content facets which are indicative of image content contained within the images and to associate the image objects with the image content facets and a display coupled with the processing circuitry and configured to depict the image objects associated with the image content facets.