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Angular (also referred to as Angular 2+) [4] is a TypeScript-based free and open-source single-page web application framework. It is developed by Google and by a community of individuals and corporations. Angular is a complete rewrite from the same team that built AngularJS.
IPTC fields contain more specific data relating to authorship of an image. [12] It is extremely important for upload components to preserve original image metadata in the upload process. Quality Meter Quality meter is a visual indicator showing image quality (dpi, width, height) and it helps a user to decide whether an image is good enough to ...
DASH is an adaptive bitrate streaming technology where a multimedia file is partitioned into one or more segments and delivered to a client using HTTP. [15] A media presentation description (MPD) describes segment information (timing, URL, media characteristics like video resolution and bit rates), and can be organized in different ways such as SegmentList, SegmentTemplate, SegmentBase and ...
Image manipulation and optimization, either on-the-fly through URL directives, in batch mode (through manual upload of images) or fully automatic (or a combination of these). Device Detection (also known as Device Intelligence), i.e. the ability to determine the properties of the requesting browser and/or device through analysis of the User ...
Cloudinary is a SaaS company providing cloud media management services for websites and apps. The company is headquartered in San Jose, California with offices in Israel , England , Poland , and Singapore .
To view or search images previously uploaded directly to English Wikipedia, go to the list of uploaded images. Uploads and deletions are logged on the upload log. Many images can be categorized in one of the subcategories of Category:Wikipedia images by subject or its parent category Category:Wikipedia images. You may want to check there to see ...
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).
The goals of building a distributed search engine include: 1. to create an independent search engine powered by the community; 2. to make the search operation open and transparent by relying on open-source software; 3. to distribute the advertising revenue to node maintainers, which may help create more robust web infrastructure;