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https://issues.apache.org/jira/browse/TIKA-2322?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15987045#comment-15987045
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ASF GitHub Bot commented on TIKA-2322:
--------------------------------------
chrismattmann commented on a change in pull request #168: fix for TIKA-2322
contributed by [email protected]
URL: https://github.com/apache/tika/pull/168#discussion_r113751331
##########
File path:
tika-parsers/src/main/resources/org/apache/tika/parser/recognition/tf/inceptionapi.py
##########
@@ -310,6 +320,32 @@ def index():
</td></tr>
</table>
</li>
+ <li> <code>/inception/v3/classify/video</code> - <br/>
+ <table>
+ <tr><th align="left"> Description </th><td> This is a
classifier service that can classify videos</td></tr>
+ <tr><td></td> <td>Query Params : <br/>
+ <code>topk </code>: type = int : top classes to get;
default : 10 <br/>
+ <code>human </code>: type = boolean : human readable class
names; default : true <br/>
+ <code>mode </code>: options = <code>{"center", "interval",
"fixed"}</code> : Modes of frame extraction; default : center <br/>
+   <code>"center"</code> - Just one frame in center.
<br/>
+   <code>"interval"</code> - Extracts frames after
fixed interval. <br/>
+   <code>"fixed"</code> - Extract fixed number of
frames.<br/>
+ <code>frame-interval </code>: type = int : Interval for
frame extraction to be used with INTERVAL mode. If frame_interval=10 then every
10th frame will be extracted; default : 10 <br/>
+ <code>num-frame </code>: type = int : Number of frames to
be extracted from video while using FIXED model. If num_frame=10 then 10 frames
equally distant from each other will be extracted; default : 10 <br/>
+
+ </td></tr>
+ <tr><th align="left"> How to supply Video Content </th></tr>
+ <tr><th align="left"> With HTTP GET : </th> <td>
+ Include a query parameter <code>url </code> which is path
on file system <br/>
+ Example: <code> curl
"localhost:8764/inception/v3/classify/video?url=filesystem/path/to/video"</code><br/>
+ </td></tr><br/>
+ <tr><th align="left"> With HTTP POST :</th><td>
+ POST video content as binary data in request body. If
video can be decoded by OpenCV it should be fine. It's tested on mp4 and avi on
mac <br/>
+ Include a query parameter <code>ext </code>this extension
is needed to tell OpenCV which decoder to use, default is ".mp4" </br>
+ Example: <code> curl -X POST
"localhost:8764/inception/v3/classify?topk=10&human=false" --data-binary
@example.mp4 </code>
Review comment:
v4
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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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