Browse Prior Art Database

Method to Apply Predefined Rules to Automatically Update Images in Web pages and Documents Disclosure Number: IPCOM000237338D
Publication Date: 2014-Jun-13
Document File: 3 page(s) / 92K

Publishing Venue

The Prior Art Database


Disclosed is a methodology to crawl through a company’s website (s) or documents, and automatically update images based on a set of predefined rules. This methodology is backed by an apparatus (a system or tooling) that uses said predefined rules and takes action against the various pages in order to update the pages or correct specific problems with the imaging.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 43% of the total text.

Page 01 of 3

Method to Apply Predefined Rules to Automatically Update Images in Web pages and Documents

Images within company websites can be problematic for various reasons. Documents can have one or multiple embedded images within the header, footer, navigation bars, or body. These images can be different shapes or sizes, conforming to the design of the page. It is imperative to keep the latest correct images embedded in the document and to ensure the context surrounding the image is relevant to it.

Some problems within company websites should be automatically correctable, such as an outdated embedded image. For example, a company logo might change over time, and any site should be corrected with the right logo. This can be done manually, but many cases may be missed. Another problem that can be automatically corrected is misalignment caused by nonstandard shapes or sizes of the embedded image.

A method (steps) and backing apparatus (the software system) are required that can crawl pages and read embedded images, and correct detected problems as needed.

The novel contribution is a method and system by which documents are crawled and all embedded images in those pages are assessed and analyzed for appropriate necessary changes (e.g., update content, adjust formatting, etc.). This is accomplished through rules set up in a centralized server. The backing apparatus makes corrections on the fly and tags the pages to ensure review by the various test groups. It also stores backup files of the original content.

(The examples throughout this article demonstrate the method with web pages; however, this method is broader and is applicable to other types of files (e.g., word or text).)

The core novel functions of this method are:

 Automatic replacement of outdated images for all pages in a client site, based on a rules server

 Automatic readjustment of the surrounding hypertext markup language (HTML) to update surrounding colors or image size, based on the rules server
 Automatic marking of pages with images that need update requiring test validation

Figure: Example of a source code for a document with an embedded image


Page 02 of 3

The method identifies outdated or inappropriate images within documents and automatically takes corrective action based on a set of rules. This corrective action includes automatically replacing the image with one more relevant image(s), as well as correcting alignment and formatting (e.g., look-and-feel) issues.

To implement the method in a preferred embodiment, the software is installed on an appropriate server that is able to crawl and analyze the source code of each document in any document library. As part of that apparatus, a rules engine is in place to assess and apply rules to each image. The most obvious rule is automatic replacement of outdated images. Additionally, software identifies the image file dimension and aspect ratio from the source code. This is done simply by perusing the known tags within t...