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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 what formulates a search query. In particular, reverse image search is characterized by a lack of search terms. This effectively removes the need for a user to guess at keywords or terms that may or may not return a correct result. Reverse image search also allows users to discover content that is related to a specific sample image,〔(【引用サイトリンク】url=https://support.google.com/images/answer/1325808?hl=en )〕 popularity of an image, and discover manipulated versions and derivative works.〔(【引用サイトリンク】title=Find Your Images Online Using Reverse Image Search on Google )〕〔(【引用サイトリンク】url=http://blogs.scientificamerican.com/compound-eye/2011/08/16/googles-reverse-image-search/ )〕 ==Uses== Reverse image search may be used to:〔(【引用サイトリンク】title=MAKING A MARK )〕〔(【引用サイトリンク】title=FAQ - TinEye - Why use TinEye? )〕 * Locate the source of an image * Find higher resolution versions * Discover webpages where the image appears * Track down the content creator * Get information about an image 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「reverse image search」の詳細全文を読む スポンサード リンク
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