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For example, a digital image may include metadata that describes the size of the image, its color depth, resolution, when it was created, the shutter speed, and other data. [16] A text document's metadata may contain information about how long the document is, who the author is, when the document was written, and a short summary of the document.
Exchangeable image file format (officially Exif, according to JEIDA/JEITA/CIPA specifications) [5] is a standard that specifies formats for images, sound, and ancillary tags used by digital cameras (including smartphones), scanners and other systems handling image and sound files recorded by digital cameras.
ExifTool is a free and open-source software program for reading, writing, and manipulating image, audio, video, and PDF metadata.As such, ExifTool classes as a tag editor.It is platform independent, available as both a Perl library (Image::ExifTool) and a command-line application.
Output of DenseCap "dense captioning" software, analysing a photograph of a man riding an elephant. Automatic image annotation (also known as automatic image tagging or linguistic indexing) is the process by which a computer system automatically assigns metadata in the form of captioning or keywords to a digital image.
Analysis of the photograph's metadata by Sky News revealed that the file was saved twice in Adobe Photoshop, once on Friday, March 8 at 9:54 p.m. GMT, and again on Saturday, March 9, at 9:39 a.m. GMT.
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.
Metadata—or information about an image, which can be automatically or manually added to image file formats like JPGs—can indicate when and where a photo was taken, on what kind of camera, and ...
General scheme of content-based image retrieval. Content-based image retrieval, also known as query by image content and content-based visual information retrieval (CBVIR), is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases (see this survey [1] for a scientific overview of the CBIR field).