Summer of Code/2009/Multimedia-broadcasting: Difference between revisions

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In that project, the focus was on interaction of mobile Internet Tablet devices with other household electronics, such as TVs and the like, as well as the exploration of a time-centric desktop computing paradigm. However, the icecast-based broadcasting architecture there is similar (albeit far more primitive, lacking security features, and restricted to only local devices as targets) to what I aim to implement here. Having learned more about the constraints and architecture of mass-video broadcasting over Icecast, I believe I now have the necessary knowledge to deliver a production-ready implementation of the described multimedia-broadcasting activity.

In addition, I have also worked with video APIs (primarily FFmpeg's libavcodec/libavformat, and OpenCV, though I have used GStreamer on another project) as part of my current undergaduate research project focused on emotion recognition based on facial and speech features, so I am familiar with how to perform real-time video and audio capture and addressing the usual issues that show up in terms of laggy capture performance or locking threads; in this case this should be even simpler as no data processing must be done.

In addition, I have also worked with video APIs (primarily FFmpeg's libavcodec/libavformat, and OpenCV, though I have used GStreamer on another project) as part of my current undergaduate research project (unfortunately currently proprietary) focused on emotion recognition based on facial and speech features, so I am familiar with how to perform real-time video and audio capture and addressing the usual issues that show up in terms of laggy capture performance or locking threads; in this case this should be even simpler as no data processing must be done.

Regarding development pace, I will have no other commitments this summer so I will be able to spend my full time on development.

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 In that project, the focus was on interaction of mobile Internet Tablet devices with other household electronics, such as TVs and the like, as well as the exploration of a time-centric desktop computing paradigm. However, the icecast-based broadcasting architecture there is similar (albeit far more primitive, lacking security features, and restricted to only local devices as targets) to what I aim to implement here. Having learned more about the constraints and architecture of mass-video broadcasting over Icecast, I believe I now have the necessary knowledge to deliver a production-ready implementation of the described multimedia-broadcasting activity.
-In addition, I have also worked with video APIs (primarily FFmpeg's libavcodec/libavformat, and OpenCV, though I have used GStreamer on another project) as part of my current undergaduate research project focused on emotion recognition based on facial and speech features, so I am familiar with how to perform real-time video and audio capture and addressing the usual issues that show up in terms of laggy capture performance or locking threads; in this case this should be even simpler as no data processing must be done.
+In addition, I have also worked with video APIs (primarily FFmpeg's libavcodec/libavformat, and OpenCV, though I have used GStreamer on another project) as part of my current undergaduate research project (unfortunately currently proprietary) focused on emotion recognition based on facial and speech features, so I am familiar with how to perform real-time video and audio capture and addressing the usual issues that show up in terms of laggy capture performance or locking threads; in this case this should be even simpler as no data processing must be done.
 Regarding development pace, I will have no other commitments this summer so I will be able to spend my full time on development.