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https://issues.apache.org/jira/browse/TIKA-2322?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15990493#comment-15990493
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Hudson commented on TIKA-2322:
------------------------------
SUCCESS: Integrated in Jenkins build Tika-trunk #1250 (See
[https://builds.apache.org/job/Tika-trunk/1250/])
fix for TIKA-2322 contributed by [email protected] (mattmann:
[https://github.com/apache/tika/commit/6c903f25aa6508d06fc6f0044ac996ff9e9d9bf4])
* (edit)
tika-parsers/src/main/resources/org/apache/tika/parser/recognition/tf/inceptionapi.py
* (add)
tika-parsers/src/main/resources/org/apache/tika/parser/recognition/tf/video_util.py
* (edit)
tika-parsers/src/main/java/org/apache/tika/parser/recognition/tf/TensorflowRESTRecogniser.java
* (add)
tika-parsers/src/main/java/org/apache/tika/parser/recognition/tf/TensorflowRESTVideoRecogniser.java
* (add)
tika-parsers/src/test/resources/org/apache/tika/parser/recognition/tika-config-tflow-video-rest.xml
* (add) tika-parsers/src/test/resources/test-documents/testVideoMp4.mp4
* (add)
tika-parsers/src/test/java/org/apache/tika/parser/recognition/tf/TensorflowVideoRecParserTest.java
Record change for TIKA-2322. (mattmann:
[https://github.com/apache/tika/commit/b19b9c36986707db8755a62ef77923af01549411])
* (edit) CHANGES.txt
> 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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