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  2. Video coding format - Wikipedia

    en.wikipedia.org/wiki/Video_coding_format

    As such, the user normally does not have a H.264 file, but instead has a video file, which is an MP4 container of H.264-encoded video, normally alongside AAC-encoded audio. Multimedia container formats can contain one of several different video coding formats; for example, the MP4 container format can contain video coding formats such as MPEG-2 ...

  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. Video file format - Wikipedia

    en.wikipedia.org/wiki/Video_file_format

    Video is almost always stored using lossy compression to reduce the file size. A video file normally consists of a container (e.g. in the Matroska format) containing visual (video without audio) data in a video coding format (e.g. VP9) alongside audio data in an audio coding format (e.g. Opus).

  5. Comparison of video container formats - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_video...

    Attachments (additional files, such as fonts for subtitles) are only supported in Matroska, [41] MP4 and QTFF. M2TS supports attachments as multiple files in a specific file structure: fonts for subtitles are in .otf files in the /BDMV/AUXDATA/ directory. Interactive menus are only supported in MP4, QTFF, M2TS, EVO and DMF.

  6. LosslessCut - Wikipedia

    en.wikipedia.org/wiki/LosslessCut

    LosslessCut is a free, platform independent video editing software, which supports numerous audio, video and container formats. [4] [5]It is a graphical user interface, with MacOS, [6] Windows [7] and Linux [8] support, using the FFmpeg multimedia framework.

  7. Lossless compression - Wikipedia

    en.wikipedia.org/wiki/Lossless_compression

    By operation of the pigeonhole principle, no lossless compression algorithm can shrink the size of all possible data: Some data will get longer by at least one symbol or bit. Compression algorithms are usually effective for human- and machine-readable documents and cannot shrink the size of random data that contain no redundancy. Different ...

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