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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (TIKA-2322) Video labeling using existing ObjectRecognition
Date Mon, 01 May 2017 05:03:04 GMT

    [ https://issues.apache.org/jira/browse/TIKA-2322?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15990586#comment-15990586
] 

ASF GitHub Bot commented on TIKA-2322:
--------------------------------------

ThejanW commented on issue #168: fix for TIKA-2322 contributed by msharan@usc.edu
URL: https://github.com/apache/tika/pull/168#issuecomment-298286570
 
 
   @chrismattmann @thammegowda the merged dockefile needs some updating. It won't build otherwise.
I think you've missed the line of installing libtcmalloc-minimal4. So this breaks at "ENV
LD_PRELOAD="/usr/lib/libtcmalloc_minimal.so.4". and also I have added a line to delete the
source files of OpenCV after building. It's also not here
   
   Could you please revisit my gist https://gist.github.com/ThejanW/bffe660f5a7718b8672ee49f855c6a6f

   and make those changes in the merged file. just copy and paste the entire thing. Thanks.
 
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> Video labeling using existing ObjectRecognition
> -----------------------------------------------
>
>                 Key: TIKA-2322
>                 URL: https://issues.apache.org/jira/browse/TIKA-2322
>             Project: Tika
>          Issue Type: Improvement
>          Components: parser
>            Reporter: Madhav Sharan
>            Assignee: Chris A. Mattmann
>              Labels: memex
>             Fix For: 1.15
>
>
> Currently TIKA supports ObjectRecognition in Images. I am proposing to extend this to
support videos. 
> Idea is -
> 1. Extract frames from video and run IncV3 to get labels for these frames. 
> 2. We average confidence scores of same labels for each frame. 
> 3. Return results in sorted order of confidence score. 
> I am writing code for different modes of frame extractions -
> 1. Extract center image.
> 2. Extract frames after every fixed interval.
> 3. Extract N frames equally divided across video.
> We used this approach in [0]. Code in [1]
> [0] https://github.com/USCDataScience/hadoop-pot
> [1] https://github.com/USCDataScience/video-recognition



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