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BigSoftVideo Software Tools

This repository is a collection point for ideas, wishes and suggestions for tools and features to enhance the Big Video workflow for qualitative video analysis. We use our @BigSoftVideo space on GitHub to develop software tools to support Big Video. Most of the coding we do is private until a robust beta is released publicly.

The software development team is led by Paul McIlvenny and Jacob Davidsen. Programmers who have worked on BigSoftVideo projects include Nicklas Haagh Christensen, Stefan Tanderup, Andreas Hejndorf, Artúr Barnabas Kovács, Alexander Stein and Jonas Noermark.

We have several software projects at various stages of development and release:

  1. AVA360VR Version Code Platform
  2. CAVA360VR Stage Version Code Platform
    • CAVA360VR: Collaborate, Annotate, Visualise, Analyse 360 video in VR multi-user for live data sessions
  3. SQUIVE Stage Version Code Platform
    • SQUIVE: Staging QUalitative Immersive Virtualisation Engine
  4. DOTE Version Code Platform
  5. BreachingVR Version Code Platform
  6. 360mash Stage Version Code Platform
    • 360mash: Software tool to extract and render video from 360 and 2D video to anonoymise persons and objects
  7. DOTEbase Stage Version Code Platform
    • DOTEbase: Prototype tool to support data management of media clips and DOTE transcripts

We are always interested in ideas and suggestions for tools and features that will support the Big Video workflow of qualitative video analysis. You may have seen a demo of one of our tools (released or in beta), read one of our research papers, or you may have strong feelings about some of the software tools currently available for transcription and qualitative analysis (eg. TRANSANA, ELAN, CLAN, ANVIL, etc). If you would like to share with us, then add them as an issue here in this repository (click in the menu above). You will have to create an account with GitHub to do so. Describe your suggestion or request in as much detail as you wish. Include sketches or images if you wish. You can respond to other issues and add emojis to indicate your assessment and/or support.

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A crowd-sourced collection of ideas, wishes and suggestions for tools and features to enhance the Big Video workflow for qualitative video analysis

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