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This page explains how to place images on wiki pages, where the image acts as a hypertext link to somewhere other than the image description page. Care should be taken that this is done in compliance with the licensing terms of the file in question, particularly if they require proper attribution.
Alternate text is optional but recommended. See Alternate text for images for hints on writing good alternate text. To have some text to the left of an image, and then some more text below the image, then put in a single <br clear="all">. This will force following text down until the margins are free of floating images.
Scale the image to be no greater than the given width or height, keeping its aspect ratio. Scaling up (i.e. stretching the image to a greater size) is disabled when the image is framed. Link Link the image to a different resource, or to nothing. Alt Specify the alt text for the image. This is intended for visually impaired readers.
The picture name alone places the image in the text, or on the next line if there is insufficient space. Embedding the image in the text is only possible for very small images. Embedding the image will affect the vertical formatting of text.
An easy way to find such images is to search with the restriction to site:.gov OR site:.mil. Again, be creative and vary your search terms. Not all images on the .gov or .mil sites are public domain, however: works by local state governments are not necessarily in the public domain. In case of doubt, ask.
Users who visit pages containing these types of links, (whilst using a browser which employs an indiscriminate link prefetcher), might find that they have been logged out or that their files have been deleted. [14] Additionally, there are a number of criticisms regarding the privacy and resource usage implications of link prefetching:
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Image search is a specialized data search used to find images. To search for images, a user may provide query terms such as keyword, image file/link, or click on some image, and the system will return images "similar" to the query. The similarity used for search criteria could be meta tags, color distribution in images, region/shape attributes ...