This metadata generation process is called audiovisual indexing. and can be generated manually or automatically. The metadata associated with each image can reference the title of the image, format, color, etc. and it is obtained by employing a set of images sorted by relevance. Search by metadata: Image search is based on comparison of metadata associated with the image as keywords, text, etc. Two techniques currently used in image search: The results depend on the search criterion, such as metadata, distribution of color, shape, etc., and the search technique which the browser uses.ĭiagram of a search realized through example based on detectable regions from an image Image search techniques The search can be based on keywords, a picture, or a web link to a picture. Visual information searchers Screenshot of results shown by the image searcher through example GOS Image search Īn image search engine is a search engine that is designed to find an image. Scale-invariant feature transform - to extract local features of an image.Discover webpages where the image appears.Ĭommonly used reverse image search algorithms include:.These search engines often use techniques for Content Based Image Retrieval.Ī visual search engine searches images, patterns based on an algorithm which it could recognize and gives relative information based on the selective or apply pattern match technique. Examples are buildings in a foreign city. This type of search engines is mostly used to search on the mobile Internet through an image of an unknown object (unknown search query). Information may consist of web pages, locations, other images and other types of documents. Ī visual search engine is a search engine designed to search for information on the World Wide Web through a reverse image search. Reverse image search also allows users to discover content that is related to a specific sample image or the popularity of an image, and to discover manipulated versions and derivative works. This effectively removes the need for a user to guess at keywords or terms that may or may not return a correct result. In particular, reverse image search is characterized by a lack of search terms. Reverse image search is a content-based image retrieval (CBIR) query technique that involves providing the CBIR system with a sample image that it will then base its search upon in terms of information retrieval, the sample image is very useful. Content-based image retrieval Reverse image search using Google Images.
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