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  2. VP8 - Wikipedia

    en.wikipedia.org/wiki/Vp8

    VP8 is an open and royalty-free video compression format released by On2 Technologies in 2008.. Initially released as a proprietary successor to On2's previous VP7 format, VP8 was released as an open and royalty-free format in May 2010 after Google acquired On2 Technologies.

  3. Lossless compression - Wikipedia

    en.wikipedia.org/wiki/Lossless_compression

    Lossless compression is a class of data compression that allows the original data to be perfectly reconstructed from the compressed data with no loss of information. Lossless compression is possible because most real-world data exhibits statistical redundancy . [ 1 ]

  4. Compression artifact - Wikipedia

    en.wikipedia.org/wiki/Compression_artifact

    A compression artifact (or artefact) is a noticeable distortion of media (including images, audio, and video) caused by the application of lossy compression. Lossy data compression involves discarding some of the media's data so that it becomes small enough to be stored within the desired disk space or transmitted ( streamed ) within the ...

  5. 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:

  6. Prism Video Converter - Wikipedia

    en.wikipedia.org/wiki/Prism_Video_Converter

    Users can adjust compression/encoder rates, set the resolution and frame rate, and specify the desired output file size. [2] [4] The software also offers various effects like video rotation, captions, watermarks, and text overlay. [9] [10]

  7. Lossy compression - Wikipedia

    en.wikipedia.org/wiki/Lossy_compression

    In information technology, lossy compression or irreversible compression is the class of data compression methods that uses inexact approximations and partial data discarding to represent the content. These techniques are used to reduce data size for storing, handling, and transmitting content.

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