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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (TIKA-2322) Video labeling using existing ObjectRecognition
Date Sat, 29 Apr 2017 21:52:04 GMT

    [ https://issues.apache.org/jira/browse/TIKA-2322?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15990055#comment-15990055
] 

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-298196751
 
 
   # Take base as Ubuntu: 16.04, then you can simply apt-get install ffmpeg
   FROM ubuntu:16.04
   RUN apt-get update && \
         apt-get install ffmpeg
   
   # Dependencies
   RUN apt-get install build-essential cmake pkg-config \
         libjpeg8-dev libtiff5-dev libjasper-dev libpng12-dev \
         libavcodec-dev libavformat-dev libswscale-dev libv4l-dev \
         libxvidcore-dev libx264-dev \
         libgtk2.0-dev \
         libatlas-base-dev gfortran \
         python2.7-dev python3-dev \
         python-pip
   RUN \
         pip install --upgrade pip && \
         pip install numpy
   
   WORKDIR /usr/local/src
   
   # Download OpenCV 3 + Contrib
   RUN \ 
   wget -O opencv.zip https://github.com/Itseez/opencv/archive/3.2.0.zip && \
   unzip opencv.zip && \
   wget -O opencv_contrib.zip https://github.com/Itseez/opencv_contrib/archive/3.2.0.zip &&
\
   unzip opencv_contrib.zip
   
   # Build + Install OpenCV
   WORKDIR /usr/local/src/opencv-3.2.0/
   RUN mkdir build
   WORKDIR /usr/local/src/opencv-3.2.0/build
   RUN cmake -D CMAKE_BUILD_TYPE=RELEASE \
         -D CMAKE_INSTALL_PREFIX=/usr/local \
         -D INSTALL_PYTHON_EXAMPLES=ON \
         -D INSTALL_C_EXAMPLES=OFF \
         -D OPENCV_EXTRA_MODULES_PATH=~/opencv_contrib-3.2.0/modules \
         -D BUILD_EXAMPLES=ON ..
   RUN make -j8
   RUN make install
   
 
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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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