ITK Release 4/A2D2 Projects/SCORE++/Tcon-2011-04-18
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Attendees
- Sean Megason
- Arnaud Gelas
- Stephen Aylward
- Patrick Reynolds
- Julien Jomier
- Xiaoxioa Liu
- Luis Ibanez
Items
- Data licensing
- Data Curation
- Associating publications with the data in the database
- Comparison of segmentations
- What MIDAS instance to use ?
- Data Collection MIDAS
- How much data ?
- A dozen items..
- About 100Gb per item
- Suggestion:
- Per dataset have two tiers: The full dataset, and the small sample to quick evaluation
- Data Transfer
- Using MIDAS CPP ?
- 100 Gbit /s Transfer rate at Kitware KHQ (about 10 GigaByte/s)
- Use Amazon S3 Store ?
- Rates and prices ?
- Scoring Algorithms
- Client Side
- Server Side
- Representations for
- Tracks (3D + t)
- Object Ids
- Use ITK SpatialObjects ?
- 3D + time ?
- Use itk::LabelMaps to represent segmentations and tracks
Tracking Evaluation
- ICCV paper: Tracking performance evaluation
- Sometimes the data start from meshes
- Sometimes it starts from images
- Sometimes it starts from tracks
- If adopting a file format for storing this data
- THEM we must provide a library (IO API) for reading and writing this data.
- Maybe use the MetaImage library ?
- It already have the concepts of "polylines" and "tubes"
Server Side Processing
WARNING: THIS IS BRAINSTORMING
- Rationale: The data is too large to download
- Users could upload
- Source code
- Binaries
- Virtual Machines
- These code/binaries will be executed on the data and the output will go to the evaluation.
- Users could upload
Action Items
- File formats for Tracks
- Luis, Arnaud, DJ
- Track Evaluation Metrics (comparing tracks ICCV)
- Marcel
- Segmentation Metrics
- Patrick, Xiaoxiao
- Web Data Visualization
- Patrick, DJ, Arnaud, Luis
- IO / Database
- Arnaud, Luis, DJ, Zack Mullen