Matterhorn 2014 Unconference: Ideas for automated post-recording video handling
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Transcript of Matterhorn 2014 Unconference: Ideas for automated post-recording video handling
- 1. Matterhorn Unconference 2014 Lets fix it in post! Ideas for automated post-recording video handling Stephen Marquard University of Cape Town 19 March 2014
- 2. Why post-process video? A different approach to solving the blackboard challenge Improve video quality Close-ups More natural perspectives Avoid challenging lighting conditions (e.g. projection) Smooth motion (perfect knowledge of the future) Adjust for optimal colour / white balance / contrast Cost Multiple fixed HD IP cameras for half the cost of a PTZ camera / solution
- 3. Cost + + < Bosch Dinion HD832 IP camera Vaddio ClearVIEW HD-USB IP camera
- 4. The blackboard challenge How to get useful video where blackboard writing and diagrams are legible in large, wide venues
- 5. Avoid sightline problems
- 6. A real-time blackboard solution LectureSight: Direct a PTZ camera to follow the presenter, using real-time image analysis from an overview camera. https://opencast.jira.com/wi ki/display/LECTURESIGHT /LectureSight+Project+Ho me
- 7. A post-processing presenter solution http://wiki.teltek.es/display/GaliTracker/GaliTracker+Home GaliTracker does cropping and zooming from a fixed HD image to give a presenter closeup
- 8. Multiple fixed cameras 1
- 9. Multiple fixed cameras 2
- 10. Multiple fixed cameras 3
- 11. Post-processing The capture agent records multiple camera streams (probably IP cameras): the mediapackage has 2, 3 or 4 presenter videos rather than 1. The camera streams are then post-processed to create a single presenter video (perhaps on the CA itself) Approaches: 1. Virtual panning (combine and crop) 2. Mixing (source selection)
- 12. Virtual panning Left camera frame Centre camera frame Right camera frame Single panoramic image constructed from 3 fixed camera images Wide frame is cropped to position the presenter optimally (two-pass approach) Pros: smooth motion, optimal view. Cons: stitching images may be tricky, shifting perspectives.
- 13. Mixing from multiple sources Image analysis and two-pass approach to select transition points between cameras (switch or cross-fade). Left camera Centre camera Right camera Selected camera
- 14. Other post-processing ideas Improve colour, white balance and contrast dynamically or per region in the image. Compensate for the effect of projector image in the frame, and poor presenter lighting.
- 15. Other post-processing ideas Improve image perspective and geometry Correct for fishbowl and other disturbing lens and camera positioning artefacts
- 16. What next? Get involved! Good project topics for students. Share your ideas and possible contributions on the Matterhorn list(s).