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  • I want to upload a camera video stream to Amazon S3 and download it to an Android phone. I'm completely new to this. How can I do this ?

    26 juin 2015, par Jackie Wu

    I’m really dumb and new to RTP/SIP. Is there a stack that’s recommended for uploading video to the cloud from a camera attached to a microprocessor ? What’s the difference between all the things I’m seeing - MPEG DASH, Live555, ffmpeg, and so on...?

    How does WhatsApp or Dropcam transmit live video ?

  • I want to upload a camera video stream to Amazon S3 and download it to an Android phone. I'm completely new to this. How can I do this ?

    15 mai 2019, par jwu

    I’m really dumb and new to RTP/SIP. Is there a stack that’s recommended for uploading video to the cloud from a camera attached to a microprocessor ? What’s the difference between all the things I’m seeing - MPEG DASH, Live555, ffmpeg, and so on...?

    How does WhatsApp or Dropcam transmit live video ?

  • Read h264 stream from an IP camera

    13 juillet 2015, par João Neves

    Currently, I am trying to use opencv to read a video from my Canon VB-H710F camera.

    For this purpose I tried two different solutions :

    SOLUTION 1 : Read the stream from rtsp address

     VideoCapture cam ("rtsp://root:camera@10.0.4.127/stream/profile1=u");
    

    
 while(true)
    
  cam >> frame;

    In this case I am using opencv to directly read from a stream encoded with in H264 (profile1), however this yields the same problem reported here http://answers.opencv.org/question/34012/ip-camera-h264-error-while-decoding/
    As suggested in the previous question, I tried to disable FFMPEG support in opencv installation, which solved the h264 decoding errors but raised other problem.
    When accessing the stream with opencv, supported by gstreame, there is always a large delay associated.
    With this solution I achieve 15 FPS but I have a delay of 5 seconds, which is not acceptable considering that I need a real time application.

    SOLUTION 2 : Read the frames from http address
    while(true)

    startTime=System.currentTimeMillis() ;

            URL url = new URL("h t t p://[IP]/-wvhttp-01-/image.cgi");
    
        URLConnection con = url.openConnection();
    
        BufferedImage image = ImageIO.read(con.getInputStream());   
    
        showImage(image);
    
        estimatedTime=System.currentTimeMillis()-startTime;
    
        System.out.println(estimatedTime);
    
        Thread.sleep(5);
    
}

    This strategy simply grabs the frame from the url that the camera provides. The code is in Java but the results are the same in C++ with the curl library.
    This solution avoids the delay of the first solution however it takes little more than 100 ms to grab each frame, which means that I can only achieve on average 10 FPS.

    I would like to know how can I read the video using c++ or another library developed in c++ ?

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