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Visual Image Retrieval and Localization: A visual search engine that, given a query image, retrieves photos depicting the same object or scene under varying viewpoint or lighting conditions. Using Flickr photos of urban scenes, it automatically estimates where a picture is taken, suggests tags, identifies known landmarks or points of interest ...
A biased view of the Internet is exactly what search users are seeking. By performing a search the user is seeking what that search engine perceives as the "best" result to their query. Enforced search neutrality would, essentially, remove this bias. Users continually return to a specific search engine because they find the "biased" or ...
An image search engine is a search engine that is designed to find an image. The search can be based on keywords, a picture, or a web link to a picture. The results depend on the search criterion, such as metadata, distribution of color, shape, etc., and the search technique which the browser uses.
Android phones, like this Nexus S running Replicant, allow installation of apps from the Play Store, F-Droid store or directly via APK files. This is a list of notable applications (apps) that run on the Android platform which meet guidelines for free software and open-source software.
Unbiased rendering in computer graphics refers to techniques that avoid systematic errors, or biases, in the radiance approximation of an image. This term specifically relates to statistical bias, not subjective bias. Unbiased rendering aims to replicate real-world lighting and shading as accurately as possible without shortcuts.
When seeking online information, many people turn to search engines like Google, Bing, Yahoo, or AOL Search. These search engines function as digital indexes, organizing available content by topic and sub-topic, much like an index in a book. Each search engine builds its index using distinct methods, typically beginning with an automated ...
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Visual search functions rely on Huawei’s visual search technology, HiTouch. [5] It can search for and detect multiple objects in an image at the same time. For example, when a user takes a photo of a sofa with a blanket and a cushion on it, Petal Search can identify all three items, and then deliver search results based on that. [citation needed]