Attendees

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 three tiers:
    1. Testing data (data freely available, annotations/truth sequestered)
    2. Training data (data and annoations freely available)
    3. Small sample for quick evaluation
  - Provide an online viewing tool (MIDAS/DJ Viewer)
Data Transfer
- Using MIDAS CPP ?
- 100 Gbit /s Transfer rate at Kitware KHQ (about 10 GigaByte/s)
- Use Amazon S3 Store
  - Rates and prices prohibitive
Scoring Algorithms
- Client Side and Server Side the same
- Fully open-source
- Provided as
  1. ITK classes
  2. GenerateCLP Executables for use with BatchMake
    - How are these distributed? New toolkit?
- Batchmake scripts provided to show how to run methods and score on a collection of data
  1. - How are these distributed? New toolkit?
Representations for
- Tracks (3D + t)
- Object Ids
- Use ITK SpatialObjects ?
  - 3D + time ?
- Use itk::LabelMaps to represent segmentations and tracks

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 has the concepts of "polylines" and "tubes"

WARNING: THIS IS BRAINSTORMING...but we need to do something like this!