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An image retrieval system is a computer system used for browsing, searching and retrieving images from a large database of digital images. Most traditional and common methods of image retrieval utilize some method of adding metadata such as captioning, keywords, title or descriptions to the images so that retrieval can be performed over the annotation words.
Since the Exif tag contains metadata about the photo, it can pose a privacy problem. For example, a photo taken with a GPS-enabled camera can reveal the exact location and time it was taken, and the unique ID number of the device - this is all done by default - often without the user's knowledge. Many users may be unaware that their photos are ...
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.
Metadata may be written into a digital photo file that ... OpenAlex is a free online index of over 200 ... For an example of database-specific metadata access ...
Opens and saves jpg2000 and jpgls photo files Yes, native can search for and replace pixel of a certain color (with some latitude) and replace all with a given color of pixels KPhotoAlbum: Yes keywords, comments, title, any field from Exif metadata Yes linear, complex Partial Yes per KIPI plugins Yes configurable Quick-tagging using keyboard tokens
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 ...
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.
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).