You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@tika.apache.org by "Chris A. Mattmann (JIRA)" <ji...@apache.org> on 2017/04/12 19:57:41 UTC
[jira] [Assigned] (TIKA-2322) Video labeling using existing
ObjectRecognition
[ https://issues.apache.org/jira/browse/TIKA-2322?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Chris A. Mattmann reassigned TIKA-2322:
---------------------------------------
Assignee: Chris A. Mattmann
> Video labeling using existing ObjectRecognition
> -----------------------------------------------
>
> Key: TIKA-2322
> URL: https://issues.apache.org/jira/browse/TIKA-2322
> Project: Tika
> Issue Type: Improvement
> Reporter: Madhav Sharan
> Assignee: Chris A. Mattmann
>
> 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 sum up confidence scores of each frame and label.
> 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)