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In the Print/export section select Download as PDF. The rendering engine starts and a dialog appears to show the rendering progress. When rendering is complete, the dialog shows "The document file has been generated. Download the file to your computer." Click the download link to open the PDF in your selected PDF viewer.
existence at the time of saving of linked internal pages; date and time of the last edit before saving; in the Image namespace (Image description pages): the image itself, the image history and the list of pages linking to the image; in the Category namespace: the lists of subcategories and pages in the category.
Converts PDF to raster images and vice versa. Inkscape: GNU GPL: Yes Yes Yes Yes Yes Import-/Export- from multipage PDF to multipage PDF or (Vector-)graphics. [2] Karbon: GNU GPL/LGPL Yes Yes Yes BSD, Solaris/Illumos Yes Import PDF with multiple pages as layouts, export as a one-page PDF. All standard vector graphics editor features. LibreOffice
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.
The Document Object Model (DOM) is a cross-platform and language-independent interface that treats an HTML or XML document as a tree structure wherein each node is an object representing a part of the document. The DOM represents a document with a logical tree. Each branch of the tree ends in a node, and each node contains objects.
Object recognition – technology in the field of computer vision for finding and identifying objects in an image or video sequence. Humans recognize a multitude of objects in images with little effort, despite the fact that the image of the objects may vary somewhat in different view points, in many different sizes and scales or even when they are translated or rotated.
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).
(and the corresponding index file, pages-articles-multistream-index.txt.bz2) pages-articles.xml.bz2 and pages-articles-multistream.xml.bz2 both contain the same xml contents. So if you unpack either, you get the same data. But with multistream, it is possible to get an article from the archive without unpacking the whole thing.