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  2. Template:Transclude lead excerpt - Wikipedia

    en.wikipedia.org/wiki/Template:Transclude_lead...

    Each page to be transcluded may be specified either plain or as a wikilink, possibly piped. Links to sections also work, and extract the named section rather than the lead. Examples: Article; Article#Section; [[Article]]; [[Article#Section|A section of an article]]. (Any piped text will be ignored.)

  3. Image analysis - Wikipedia

    en.wikipedia.org/wiki/Image_analysis

    Image analysis or imagery analysis is the extraction of meaningful information from images; mainly from digital images by means of digital image processing techniques. [1] Image analysis tasks can be as simple as reading bar coded tags or as sophisticated as identifying a person from their face .

  4. libjpeg - Wikipedia

    en.wikipedia.org/wiki/Libjpeg

    libjpeg is a free library with functions for handling the JPEG image data format. It implements a JPEG codec (encoding and decoding) alongside various utilities for handling JPEG data. It is written in C and distributed as free software together with its source code under the terms of a custom permissive ( BSD -like) free software license ...

  5. OpenJPEG - Wikipedia

    en.wikipedia.org/wiki/OpenJPEG

    OpenJPEG is an open-source library to encode and decode JPEG 2000 images. As of version 2.1 released in April 2014, it is officially conformant with the JPEG 2000 Part-1 standard. [ 3 ] It was subsequently adopted by ImageMagick instead of JasPer in 6.8.8-2 [ 4 ] and approved as new reference software for this standard in July 2015. [ 5 ]

  6. hOCR - Wikipedia

    en.wikipedia.org/wiki/Hocr

    hOCR is an open standard of data representation for formatted text obtained from optical character recognition (OCR). The definition encodes text, style, layout information, recognition confidence metrics and other information using Extensible Markup Language (XML) in the form of Hypertext Markup Language (HTML) or XHTML.

  7. Content-based image retrieval - Wikipedia

    en.wikipedia.org/wiki/Content-based_image_retrieval

    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).