GitHub Repository Now Live
Posted on:A new GitHub repository has been created for the WebVMT Community Group, and is now live at https://github.com/webvmt/community-group/. Join us to help shape the future of location with video for the web.
This group aims to encourage uptake of Web Video Map Tracks (WebVMT) to help establish an online ecosystem of users and developers by providing a forum in which to:
Participation is welcomed by anyone providing constructive input regarding these topics within the scope of 'synchronising geolocation with video for the web', and by those with relevant expertise in particular.
See also:
Note: Community Groups are proposed and run by the community. Although W3C hosts these conversations, the groups do not necessarily represent the views of the W3C Membership or staff.
Chairs, when logged in, may publish draft and final reports. Please see report requirements.
A new GitHub repository has been created for the WebVMT Community Group, and is now live at https://github.com/webvmt/community-group/. Join us to help shape the future of location with video for the web.
A machine learning algorithm needs to be trained to recognise cats and dogs from video footage. The learning process can be accelerated if the training footage is manually tagged to classify timed sections of video when cats and dogs appear, which can be done in a common metadata format with the proposed data sync feature in WebVMT using the following excerpt:
NOTE Cat, top left, after 5 secs for 20 secs
00:00:05.000 —> 00:00:25.000
{“sync”: {“type”: “org.ogc.geoai.catdog”, “data”:
{“animal”:”cat”, “frame-zone”:”top-left"}}}
NOTE Dog, mid right, after 10 secs for 30 secs
00:00:10.000 —> 00:00:40.000
{“sync”: {“type”: “org.ogc.geoai.catdog”, “data”:
{“animal”:”dog”, “frame-zone”:”middle-right"}}}
This approach is applicable to any project using video as input to a machine learning algorithm, regardless of the video encoding format, e.g. MPEG, WebM, OGG, etc. and without modifying the video files themselves.
In addition, video metadata can be exposed in a web browser using the proposed DataCue API in HTML.
The Web Video Map Tracks (WebVMT) Community Group has been launched:
This group aims to encourage uptake of Web Video Map Tracks (WebVMT) to help establish an online ecosystem of users and developers by providing a forum in which to:
Participation is welcomed by anyone providing constructive input regarding these topics within the scope of ‘synchronising geolocation with video for the web’, and by those with relevant expertise in particular.
See also:
In order to join the group, you will need a W3C account. Please note, however, that W3C Membership is not required to join a Community Group.
This is a community initiative. This group was originally proposed on 2018-10-15 by Rob Smith. The following people supported its creation: Rob Smith, Peter Rushforth, François Daoust, Linda van den Brink, Joseph Pollack, Carine Bournez. W3C’s hosting of this group does not imply endorsement of the activities.
The group must now choose a chair. Read more about how to get started in a new group and good practice for running a group.
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Thank you,
W3C Community Development Team