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The syntax of JavaScript is the set of rules that define a correctly structured JavaScript program. The examples below make use of the log function of the console object present in most browsers for standard text output. The JavaScript standard library lacks an official standard text output function (with the exception of document.write).
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.
A typical lightbox image display. Lightbox is a JavaScript library that displays images and videos by filling the screen, and dimming out the rest of the web page. [1] The original JavaScript library was written by Lokesh Dhakar. [2] The term Lightbox may also refer to other similar JavaScript libraries.
ACDSee Pro can read and write XMP information for DNG, GIF, JPEG, PNG and TIFF files (Microsoft Windows, Mac OS X). Acrobat - can read and write XMP in PDF files (Microsoft Windows, Mac OS X, partially Linux). Aperture - Image management application and RAW developer. Reads/writes XMP sidecar files to (batch) import/export image metadata (Mac ...
Many image gallery programs also recognise Exif data and optionally display it alongside the images. Software libraries, such as libexif [9] for C and Adobe XMP Toolkit [10] or Exiv2 [11] for C++, Metadata Extractor [12] for Java, PIL/Pillow for Python, LEADTOOLS or ExifTool [13] for Perl, parse Exif data from files and read/write Exif tag values.
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).
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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.