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  • Encoding and processing into web-friendly formats

    13 avril 2011, par

    MediaSPIP automatically converts uploaded files to internet-compatible formats.
    Video files are encoded in MP4, Ogv and WebM (supported by HTML5) and MP4 (supported by Flash).
    Audio files are encoded in MP3 and Ogg (supported by HTML5) and MP3 (supported by Flash).
    Where possible, text is analyzed in order to retrieve the data needed for search engine detection, and then exported as a series of image files.
    All uploaded files are stored online in their original format, so you can (...)

  • Les autorisations surchargées par les plugins

    27 avril 2010, par

    Mediaspip core
    autoriser_auteur_modifier() afin que les visiteurs soient capables de modifier leurs informations sur la page d’auteurs

  • Supporting all media types

    13 avril 2011, par

    Unlike most software and media-sharing platforms, MediaSPIP aims to manage as many different media types as possible. The following are just a few examples from an ever-expanding list of supported formats : images : png, gif, jpg, bmp and more audio : MP3, Ogg, Wav and more video : AVI, MP4, OGV, mpg, mov, wmv and more text, code and other data : OpenOffice, Microsoft Office (Word, PowerPoint, Excel), web (html, CSS), LaTeX, Google Earth and (...)

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  • How to save video as memory stream to .m4s freagments ?

    13 septembre 2019, par Yehor Chankov

    Summary

    I have a video streaming application, that processes videos uploaded by a user and serves it back to the user. Previously a user had to wait until the whole video had been processed and could only access it after that. Now I want my users to be able to start watching a video as soon as the first fragment is processed.

    The main idea is that I have an mp4 file, that I upload in memory using python and store as a 4d numpy array. Then I divide it into separate chunks and process each chunk.

    Solutions so far

    All solutions that I found so far are based on the idea that a complete mp4 video file exists, so that m4s fragments can be created by dividing it.

    Expected result

    What I want to achieve is that after each chunk is processed, it gets saved from memory to disk as m4s fragment, that can be served to a user immediately via MPEG dash .mpd playlist that links to all these fragments on disk.

  • is Cloud API's needed for Video Conversion to save huge time ?

    7 juillet 2017, par user2224250

    I have seen a couple of ffmpeg software’s which converts a video x format (1.8 GB) to y format (1.8 GB) in less than 90 seconds

    For example IDealshare VideoGo

    When I work with ffmpeg in the terminal, these sort of conversions takes atleast one hour. Moreover, when I compare to the above software, am facing a very very big number interms of time.

    May be, do you think for these fast conversions, we must take help from third party cloud API’s (software’s) such as amazon elastic transcoder etc etc.

    Any pointers would be really appreciable !!

  • is Cloud API's needed for Video Conversion to save huge time ?

    4 mai 2017, par user2224250

    I have seen a couple of ffmpeg software’s which converts a video x format (1.8 GB) to y format (1.8 GB) in less than 90 seconds

    For example IDealshare VideoGo

    When I work with ffmpeg in the terminal, these sort of conversions takes atleast one hour. Moreover, when I compare to the above software, am facing a very very big number interms of time.

    May be, do you think for these fast conversions, we must take help from third party cloud API’s (software’s) such as amazon elastic transcoder etc etc.

    Any pointers would be really appreciable !!

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