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Autres articles (19)

  • Other interesting software

    13 avril 2011, par

    We don’t claim to be the only ones doing what we do ... and especially not to assert claims to be the best either ... What we do, we just try to do it well and getting better ...
    The following list represents softwares that tend to be more or less as MediaSPIP or that MediaSPIP tries more or less to do the same, whatever ...
    We don’t know them, we didn’t try them, but you can take a peek.
    Videopress
    Website : http://videopress.com/
    License : GNU/GPL v2
    Source code : (...)

  • Pas question de marché, de cloud etc...

    10 avril 2011

    Le vocabulaire utilisé sur ce site essaie d’éviter toute référence à la mode qui fleurit allègrement
    sur le web 2.0 et dans les entreprises qui en vivent.
    Vous êtes donc invité à bannir l’utilisation des termes "Brand", "Cloud", "Marché" etc...
    Notre motivation est avant tout de créer un outil simple, accessible à pour tout le monde, favorisant
    le partage de créations sur Internet et permettant aux auteurs de garder une autonomie optimale.
    Aucun "contrat Gold ou Premium" n’est donc prévu, aucun (...)

  • Qualité du média après traitement

    21 juin 2013, par

    Le bon réglage du logiciel qui traite les média est important pour un équilibre entre les partis ( bande passante de l’hébergeur, qualité du média pour le rédacteur et le visiteur, accessibilité pour le visiteur ). Comment régler la qualité de son média ?
    Plus la qualité du média est importante, plus la bande passante sera utilisée. Le visiteur avec une connexion internet à petit débit devra attendre plus longtemps. Inversement plus, la qualité du média est pauvre et donc le média devient dégradé voire (...)

Sur d’autres sites (3054)

  • Processing video frame by frame in AWS Lambda with Node.js and FFmpeg [closed]

    29 décembre 2023, par Aviato

    I am working on a project where I need to process video frames one at a time in an AWS Lambda function using Node.js. My goal is to avoid storing all frames in memory or the filesystem due to resource constraints. I plan to use the fluent-ffmpeg library or ffmpeg from child processes for video processing.

    


    In the past, I used OpenCV to process videos and frames without writing the frames on the disk or storing all the frames at once on the memory itself. But now as I am using node js, its a little hard to set up the code using ffmpeg, etc.

    


    Here is a small snippet from what I did with opencv :-

    


    import cv2

cap = cv2.VideoCapture(video_file)

out = cv2.VideoWriter('output.mp4', fourcc, fps, (width, height))

def generate_frame():
        while cap.isOpened():
            code, frame = cap.read()
            if code:
                yield frame
            else:
                print("completed")
                break

for i, frame in enumerate(generate_frame()):
          # Now we can process the video frames directly and write them on the output opencv
          out.write(editing_frames)


    


    Additionally, I intend to leverage image processing libraries like Sharp and the Canvas API to edit individual frames before assembling the final video. I am looking for help in handling video frames efficiently within the constraints of AWS Lambda.

    


    Any insights, code snippets, or recommendations would be greatly appreciated. Thank you !

    


  • How to perform Video Trimming & Merging Performance in Mobile App ? [closed]

    5 mai 2024, par Harpreet Singh.8052

    I am in the process of developing an app that will allow users to trim and merge recorded videos similar to Snapchat and Instagram stories. Currently, I am using FFmpeg for video processing, but it is taking too long to complete. I have come up with an idea to use ExoPlayer to minimize processing time. My plan is to store the trimmed duration of multiple videos and only play the trimmed part when the video is played. ExoPlayer allows playing multiple videos seamlessly, so it will appear as if the videos have been trimmed and merged. However, I am uncertain about how to handle video playback on the server-side when a user uploads all the videos and metadata about the video, such as the trimmed part from where to where they want to play. If I follow this approach, I will need to first get all the videos to the user's device before playback, but the videos can be long, ranging from 10 to 30 minutes, making this approach impractical. I would like to play them in a video stream manner. 

    


    I am also curious about how other video editing apps such as CapCut or Kinemaster handle video processing tasks like trimming, merging, and slow-mo. What video processing tools do they use ? When I tried merging ten one-minute videos, it took around 10 minutes on my Android phone, but these editing apps take less time. 

    


    I would appreciate any approach or idea to improve the processing time for video trimming and merging

    


  • How to improve Video Trimming & Merging Performance for Mobile App [closed]

    5 mai 2024, par Harpreet Singh.8052

    I am in the process of developing an app that will allow users to trim and merge recorded videos similar to Snapchat and Instagram stories. Currently, I am using FFmpeg for video processing, but it is taking too long to complete. I have come up with an idea to use ExoPlayer to minimize processing time. My plan is to store the trimmed duration of multiple videos and only play the trimmed part when the video is played. ExoPlayer allows playing multiple videos seamlessly, so it will appear as if the videos have been trimmed and merged. However, I am uncertain about how to handle video playback on the server-side when a user uploads all the videos and metadata about the video, such as the trimmed part from where to where they want to play. If I follow this approach, I will need to first get all the videos to the user's device before playback, but the videos can be long, ranging from 10 to 30 minutes, making this approach impractical. I would like to play them in a video stream manner. 

    


    I am also curious about how other video editing apps such as CapCut or Kinemaster handle video processing tasks like trimming, merging, and slow-mo. What video processing tools do they use ? When I tried merging ten one-minute videos, it took around 10 minutes on my Android phone, but these editing apps take less time. 

    


    I would appreciate any approach or idea to improve the processing time for video trimming and merging