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https://issues.apache.org/jira/browse/TIKA-2322?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15990059#comment-15990059
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ASF GitHub Bot commented on TIKA-2322:
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ThejanW commented on issue #168: fix for TIKA-2322 contributed by
[email protected]
URL: https://github.com/apache/tika/pull/168#issuecomment-298197362
I created this file just now[1]. I think this should do what we need to do.
Couldn't test this file, so there could be errors. OpenCV takes time to build.
Could someone try this out, or tomorrow, I'll build this.
[1] https://gist.github.com/ThejanW/bffe660f5a7718b8672ee49f855c6a6f
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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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