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ZENODO
Software . 2019
Data sources: Datacite
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ZENODO
Software . 2019
Data sources: ZENODO
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ZENODO
Software . 2019
Data sources: Datacite
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cddcabrall/driving_scene_clip_content_selector: Driving Scene Clip Content Selector

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 17 Jan 2019Publisher:Zenodo
Authors: Cabrall, Christopher;
Code repository: https://github.com/cddcabrall/driving_scene_clip_content_selector/tree/v1.0

doi: 10.5281/zenodo.2542314 , 10.5281/zenodo.2542313

cddcabrall/driving_scene_clip_content_selector: Driving Scene Clip Content Selector

Abstract

A total of 38,298 seconds of driving footage were annotated for their contents by around 200 crowdworkers from 46 countries. Users can get a short driving video clip (dash-cam view) with different specified contents. Users can select for different kinds of road users (cars, pedestrians, bicycles, motorcycles, etc.), road/infrastructure features (curved roads, single lane, with signage, etc.) and behavioral aspects (lane changes, turning on/off the road, slowing down, etc.). Segments can be saved to a user specified location as an .avi video file. The segments are parsed from 49 source video files (v01.avi, v02.avi, etc.) and are available online via youtube (search for user "Christopher Cabrall" and the playlist "Driving Scene Content Clips") An example for v14.avi is found at https://youtu.be/8QpGg6or7Iw Additionally, these will be uploaded to the free online research respository of Zenodo at doi:10.5281/zenodo.2542275 PLEASE NOTE: IN ORDER TO PREVIEW THE SEGMENTED VIDEO CLIP IN THE GUI, YOU MUST SAVE THE 49 SOURCE VIDEOS (v01.avi, v02.avi, etc.) IN THE SAME FOLDER AS THE .EXE (driving_scene_content_video_clip_selector_GUI.exe).

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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