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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (TIKA-2322) Video labeling using existing ObjectRecognition
Date Thu, 27 Apr 2017 05:10:04 GMT

    [ https://issues.apache.org/jira/browse/TIKA-2322?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15986020#comment-15986020
] 

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

chrismattmann commented on issue #168: fix for TIKA-2322 contributed by msharan@usc.edu
URL: https://github.com/apache/tika/pull/168#issuecomment-297613266
 
 
   Welp, first test failed:
   
   ```
   LMC-053601:smadha-tika mattmann$ java -jar tika-app/target/tika-app-1.15-SNAPSHOT.jar --config=tika-parsers/src/test/resources/org/apache/tika/parser/recognition/tika-config-tflow-video-rest.xml
./tika-parsers/src/test/resources/test-documents/testVideoMp4.mp4
   WARN  JBIG2ImageReader not loaded. jbig2 files will be ignored
   INFO  Available = false, API Status = HTTP/1.0 404 NOT FOUND
   INFO  minConfidence = 0.015, topN=4
   INFO  Recogniser = org.apache.tika.parser.recognition.tf.TensorflowRESTVideoRecogniser
   INFO  Recogniser Available = false
   WARN  class org.apache.tika.parser.recognition.tf.TensorflowRESTVideoRecogniser is not
available for service
   LMC-053601:smadha-tika mattmann$ 
   ```
 
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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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