File:Große Bergparade 2019 in Chemnitz 2H1A0989.webm

From Wikimedia Commons, the free media repository
Jump to navigation Jump to search

Original file (WebM audio/video file, VP9/Opus, length 4 min 25 s, 1,920 × 1,080 pixels, 10.64 Mbps overall, file size: 336.72 MB)

Captions

Captions

Add a one-line explanation of what this file represents

Summary

[edit]
Description Große Bergparade 2019 in Chemnitz. Sachsen. (Teil 2 von 3).
Date 30. November 2019 14:27:20
Source Own work
Author Kora27

Licensing

[edit]
w:en:Creative Commons
attribution share alike
This file is licensed under the Creative Commons Attribution-Share Alike 4.0 International license.
You are free:
  • to share – to copy, distribute and transmit the work
  • to remix – to adapt the work
Under the following conditions:
  • attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  • share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.

File history

Click on a date/time to view the file as it appeared at that time.

Date/TimeThumbnailDimensionsUserComment
current05:59, 2 December 20194 min 25 s, 1,920 × 1,080 (336.72 MB)Kora27 (talk | contribs)Imported media from uploads:ad1fbbb0-146c-11ea-915b-0242c0a89504

The following page uses this file:

Transcode status

Update transcode status
Format Bitrate Download Status Encode time
VP9 1080P 5.17 Mbps Completed 06:13, 6 December 2019 23 min 15 s
VP9 720P 2.63 Mbps Completed 06:03, 6 December 2019 12 min 39 s
VP9 480P 1.35 Mbps Completed 06:02, 6 December 2019 12 min 21 s
VP9 360P 713 kbps Completed 05:59, 6 December 2019 9 min 24 s
VP9 240P 395 kbps Completed 06:08, 2 December 2019 8 min 44 s
WebM 360P 847 kbps Completed 06:03, 2 December 2019 3 min 50 s
QuickTime 144p (MJPEG) 969 kbps Completed 20:08, 29 October 2024 33 s

Metadata