Opened 14 years ago
Last modified 14 years ago
#587 reopened task
1.1.1 Algorithmically derived image metadata (low-level)
| Reported by: | kjdon | Owned by: | nobody |
|---|---|---|---|
| Priority: | moderate | Milestone: | |
| Component: | Collection Building | Severity: | enhancement |
| Keywords: | Cc: |
Description (last modified by )
Test and assesses techniques for algorithmically derived image metadata, including image similarity measurements and computations through low-level feature sets, and incorporate them into Greenstone.
Date: 01/10/2007 - 01/07/2008
Achievement Measure: At least 5 different low-level feature sets to be trialled and the most proficient technique approved by the Science Leader and included in the Greenstone SVN repository
Change History (2)
comment:1 by , 14 years ago
| Resolution: | → fixed |
|---|---|
| Status: | new → closed |
comment:2 by , 14 years ago
| Description: | modified (diff) |
|---|---|
| Resolution: | fixed |
| Status: | closed → reopened |
Above was achievement measure, not completion notes.
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At least 5 different low-level feature sets were trialled and the most proficient technique was approved by the Science Leader and included in the Greenstone SVN repository