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https://issues.apache.org/jira/browse/TIKA-1598?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14503474#comment-14503474
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Lewis John McGibbney commented on TIKA-1598:
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Hi [~1ceb00da]
bq. 1. When you say "parse" video content, such as the football game, do you
mean to say understand the video composition such as RGB histogram of the
frames in Video or other such "Color/Hue/Visual parameters"?
No, this was not my initial thought. I was thinking about decoding the audio or
video stream and then writing out metadata chunks based on any metadata we
could obtain from the stream. This will inevitably be improved upon later.
bq. 2. Or is it about extracting text information, such as the scoreboard, or
information along the tickr etc?
This is addressed above
bq. [comment] I know that OpenCV performs something similar i terms of
Video/Image processing. And I've used it before in some Java apps. Maybe it has
a liberal license (I'm guessing because of the "Open" prefix). Maybe that could
also be useful
Do you have a link and we can check?
> Parser Implementation for Streaming Video
> -----------------------------------------
>
> Key: TIKA-1598
> URL: https://issues.apache.org/jira/browse/TIKA-1598
> Project: Tika
> Issue Type: New Feature
> Components: parser
> Reporter: Lewis John McGibbney
> Assignee: Lewis John McGibbney
> Labels: memex
> Fix For: 1.9
>
>
> A number of us have been discussing a Tika implementation which could, for
> example, bind to a live multimedia stream and parse content from the stream
> until it finished.
> An excellent example would be watching Bonnie Scotland beating R. of Ireland
> in the upcoming European Championship Qualifying - Group D on Sat 13 Jun @
> 17:00 GMT :)
> I located a JMF Wrapper for ffmpeg which 'may' enable us to do this
> http://sourceforge.net/projects/jffmpeg/
> I am not sure... plus it is not licensed liberally enough for us to include
> so if there are other implementations then please post them here.
> I 'may' be able to have a crack at implementing this next week.
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