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  2. Category : Wikipedia non-free file size reduction requests

    en.wikipedia.org/wiki/Category:Wikipedia_non...

    There is no need to resize images by hand. DatBot goes through daily and resizes bitmap images (jpg, png) to (height*width)<100,000 pixels. Other files (tif, pdf, plus sound and video files) will be located in Category:Wikipedia non-free file size reduction requests for manual processing and svg in Category:Wikipedia non-free SVG file size ...

  3. Comparison of video converters - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_video_converters

    Video converter Converts without transcoding Batch convert Join files Converts audio files Converts photos Extract audio Preview Include effects Editing tools DVD burning Blu-ray burning Menu templates Splitting into chapters Converts online videos Subtitles support Upload to YouTube Variable frame rate inputs Any Video Converter: No: Yes: Yes ...

  4. Data compression ratio - Wikipedia

    en.wikipedia.org/wiki/Data_compression_ratio

    Thus, a representation that compresses the storage size of a file from 10 MB to 2 MB yields a space saving of 1 - 2/10 = 0.8, often notated as a percentage, 80%. For signals of indefinite size, such as streaming audio and video, the compression ratio is defined in terms of uncompressed and compressed data rates instead of data sizes:

  5. AOL Video - Serving the best video content from AOL and ...

    www.aol.com/video/view/how-to-resize-a-shape-in...

    The AOL.com video experience serves up the best video content from AOL and around the web, curating informative and entertaining snackable videos.

  6. Any Video Converter - Wikipedia

    en.wikipedia.org/wiki/Any_Video_Converter

    Any Video Converter is a video converter developed by Anvsoft Inc. for Microsoft Windows and macOS. [3] It is available in both a free and paid version. Any Video Converter Windows version won the CNET Downloads 5 star award in 2012.

  7. Data compression - Wikipedia

    en.wikipedia.org/wiki/Data_compression

    Data compression aims to reduce the size of data files, enhancing storage efficiency and speeding up data transmission. K-means clustering, an unsupervised machine learning algorithm, is employed to partition a dataset into a specified number of clusters, k, each represented by the centroid of its points.

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