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ASF GitHub Bot commented on TIKA-2322: -------------------------------------- ThejanW commented on issue #168: fix for TIKA-2322 contributed by msha...@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. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org > 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 -- This message was sent by Atlassian JIRA (v6.3.15#6346)