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https://issues.apache.org/jira/browse/TIKA-2322?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15990959#comment-15990959
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ASF GitHub Bot commented on TIKA-2322:
--------------------------------------
ThejanW commented on a change in pull request #175: TIKA-2322: update dockerfile
URL: https://github.com/apache/tika/pull/175#discussion_r114140572
##########
File path:
tika-parsers/src/main/resources/org/apache/tika/parser/recognition/tf/InceptionVideoRestDockerfile
##########
@@ -15,37 +15,34 @@
# limitations under the License.
#
-# Take base as Ubuntu: 16.04, then you can simply apt-get install ffmpeg
FROM ubuntu:16.04
MAINTAINER Thamme Gowda <thammego...@apache.org> and Kranthi Kiran GV
<kkran...@student.nitw.ac.in> and \
Madhav Sharan <msha...@usc.edu> and Chris Mattmann
<mattm...@apache.org>
+# Install missing part of ubuntu core + python + building dependencies
RUN apt-get update && \
- apt-get install -y wget && \
- apt-get install -y unzip && \
- apt-get install -y curl
-
-
-# Install ffmpeg
-RUN apt-get install -y ffmpeg
Review comment:
hmm...That could happen.
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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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