Web Image Extraction Filtering by Annotation
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Solution Overview
Problem
Existing methods for extracting image content related to business establishments from the web often provide images that do not accurately represent the establishments, due to inclusion of irrelevant or low-quality content.
Innovation Solution
A machine-implemented method that selects and filters image content from webpages based on annotations generated from characteristics such as obscenity probability, image type, and color, to provide high-quality, relevant images for display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If image content is extracted from multiple webpages without filtering, then the quantity of images is increased, but the quality and relevance of images deteriorates
Solution Approach 1:
The system performs preliminary actions by generating annotations for image content before filtering occurs. These annotations include characteristics such as image type, color properties, and obscenity probability assessments. By pre-characterizing the images through annotation, the system establishes a foundation for subsequent quality-based filtering that maintains both quantity and quality standards.
Solution Approach 2:
The system implements feedback mechanisms by using generated annotations to inform the filtering process. The annotations provide feedback about image characteristics that guide the filtering algorithm to retain relevant, high-quality images while eliminating inappropriate or low-quality content. This feedback loop ensures that image quantity is maintained without sacrificing quality.
2Loss of information
If all extracted image content is displayed, then the completeness of information is improved, but the appropriateness and relevance of displayed content deteriorates
Solution Approach 1:
The system extracts only the relevant and appropriate image content from the complete set of extracted images by applying filters based on generated annotations. The filtering process selectively removes inappropriate images (such as those with high obscenity probability) while retaining relevant business establishment images, thus maintaining information completeness without compromising appropriateness.
Solution Approach 2:
The system applies different quality standards to different images based on their annotated characteristics. Rather than applying a uniform filter, the system evaluates each image's specific properties (image type, color, obscenity probability) and makes localized decisions about which images to display. This ensures that the displayed image set maintains high overall appropriateness while preserving relevant information.
3Manufacturing precision
If filtering based on multiple characteristics is applied, then the quality of displayed images is improved, but the complexity of the processing system increases
Solution Approach 1:
The system segments the image filtering process into distinct, modular components: annotation generation (assessing image type, color, obscenity probability) and filtering based on annotated characteristics. By dividing the complex filtering task into separate processing stages, the system achieves high image quality through multi-characteristic evaluation while managing system complexity through modular architecture.
Data Source
AI summary
A system and machine-implemented method for providing image content corresponding to a business establishment is provided. Several webpages corresponding to a business establishment are received, and one or more webpages are selected from the several webpages, based on the content of each of the several webpages. At least one webpage related to the selected one or more webpages is retrieved. Image content is extracted from the retrieved at least one webpage. At least one annotation is generated for the extracted image content based on at least one characteristic of the extracted image content. The image content is filtered based on the generated at least one annotation for the extracted image content. The filtered image content is provided for display.