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Visual search is a type of perceptual task requiring attention that typically involves an active scan of the visual environment for a particular object or feature (the target) among other objects or features (the distractors). [1] Visual search can take place with or without eye movements.
Macroglossa was a visual search engine based on the comparison of images, [1] [2] coming from an Italian Group. The development of the project began in 2009. The development of the project began in 2009.
Reverse image search also allows users to discover content that is related to a specific sample image [1] or the popularity of an image, and to discover manipulated versions and derivative works. [2] A visual search engine is a search engine designed to search for information on the World Wide Web through a reverse image
Information acquired through both bottom-up and top-down processing is ranked according to priority. The priority ranking guides visual search and makes the search more efficient. Whether the Guided Search Model 2.0 or the feature integration theory are "correct" theories of visual search is still a hotly debated topic.
Microsoft Bing (also known simply as Bing) is a search engine owned and operated by Microsoft.The service traces its roots back to Microsoft's earlier search engines, including MSN Search, Windows Live Search, and Live Search.
Desktop search product with Outlook plugin and limited support for other formats via IFilters, uses Lucene search engine. Proprietary (14-day trial) [7] Nepomuk: Linux: Open-source semantic desktop search tool for Linux. Has been replaced by Baloo in KDE Applications from release 4.13 onward. License SA 3.0 and the GNU Free Documentation ...
Biased competition serves to prioritize task relevant information to make visual search more efficient. [11] A large amount of visual information is taken in at any given moment and there is a limited capacity available for processing. The visual system therefore needs a way to select relevant information and ignore irrelevant stimuli.
Computer vision is an interdisciplinary field that deals with how computers can be made to gain high-level understanding from digital images or videos.From the perspective of engineering, it seeks to automate tasks that the human visual system can do.