Webpage Content Extraction via Image Histogram Analysis
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Solution Overview
Problem
Existing methods for extracting webpage content are inaccurate due to frequent changes in webpage layout and label attributes, affecting user reading experience.
Innovation Solution
A method and device that determine the starting and ending positions of body content in a webpage snapshot using a histogram statistical array and rendering tree, allowing for precise extraction of content without relying solely on label attributes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If body content extraction is performed based on label attributes and button label positions, then extraction can be achieved, but extraction accuracy deteriorates due to frequent changes in webpage layout and attributes
Solution Approach 1:
The patent introduces image processing techniques as an intermediary method to locate body content. Instead of directly relying on label attributes (which change frequently), the system uses image processing to identify visual characteristics of body content regions, creating a stable intermediary layer that bridges the gap between extraction capability and accuracy.
Solution Approach 2:
The patent replaces the mechanical/structural approach (relying on HTML label attributes and document structure) with an optical/image processing approach. By using image processing to analyze visual characteristics such as background colors, text density, and layout patterns, the system achieves more stable and accurate body content extraction that is not affected by changes in HTML attributes.
2Ease of manufacture
If extraction relies on label attributes, then implementation is simple, but accuracy is affected by frequent layout changes
Solution Approach 1:
The patent changes the extraction parameters from HTML attribute-based (label text, class names) to image-based parameters (pixel color distributions, text density, spatial patterns). This parameter transformation makes the extraction process independent of HTML structure changes, thereby improving reliability while maintaining implementation simplicity through standardized image processing algorithms.
Data Source
AI summary
A method, device for processing web content and a storage medium, the method comprising: determining, in a histogram statistical array of a webpage snapshot, a starting position and an ending position of a longest continuous image along a longitudinal axis direction; determining, based on a resolution of the webpage snapshot, a first starting position and a first ending position of a body in the webpage snapshot along the longitudinal axis direction in a range from the starting position to the ending position in the longitudinal axis direction; determining, based a rendering tree of the webpage snapshot, a second starting position and a second ending position of the body in the webpage snapshot in the longitudinal axis direction in a range from the first starting position to the first ending position.


