Difference between revisions of "Faces"
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FACES is a collaboration of the MPDL with the Max Planck Institute for Human | FACES is a collaboration of the MPDL with the Max Planck Institute for Human Development. | ||
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* Available to defined user-group only as a java-application to be ordered by request on CD | * Available to defined user-group only as a java-application to be ordered by request on CD | ||
''' | '''Attributes''' | ||
* ID, age, gender, emotion, picture group | * ID, age, gender, emotion, picture group | ||
''' | '''Emotions''' | ||
* Neutrality, sadness, disgust, fear, anger, happiness | * Neutrality, sadness, disgust, fear, anger, happiness | ||
''' | '''Age Groups''' | ||
* Young (58 persons), middle-aged (56 persons), old (n=persons) | * Young (58 persons), middle-aged (56 persons), old (n=persons) | ||
'''Formats''' | '''Formats''' | ||
* JPG | * JPG images | ||
* Attribute | * Attribute export as CSV | ||
* No standard metadata-profiles | * No standard metadata-profiles | ||
'''Available Image Resolutions''' | '''Available Image Resolutions''' | ||
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Wesentlich wird es – neben der Einbindung in die eSciDoc-Architektur – darum gehen, die bisherigen "Attribute" auf der Ebene des einzelnen Bildes zu ergänzen um weitere, standardisierte Metadaten (ggf. [http://www.loc.gov/standards/mets/ METS]) , und ein Rechtemanagement zu implementieren, d.h. differenzierte Zugriffsrechte zu ermöglichen. Dabei muss die Datenbank strukturell offen sein für die Aufnahme weiterer (Beschreibungs-) Daten – wie etwa von der Normierungsstudie zu erwarten. | Wesentlich wird es – neben der Einbindung in die eSciDoc-Architektur – darum gehen, die bisherigen "Attribute" auf der Ebene des einzelnen Bildes zu ergänzen um weitere, standardisierte Metadaten (ggf. [http://www.loc.gov/standards/mets/ METS]) , und ein Rechtemanagement zu implementieren, d.h. differenzierte Zugriffsrechte zu ermöglichen. Dabei muss die Datenbank strukturell offen sein für die Aufnahme weiterer (Beschreibungs-) Daten – wie etwa von der Normierungsstudie zu erwarten. | ||
''' | '''Requirements''' | ||
'''Administration''' | '''Administration''' | ||
* Importing of Pictures | * Importing of Pictures | ||
* Adding of | * Adding of attributes to images, also from external data | ||
'''Viewer''' | '''Viewer''' | ||
* Browse | * Browse photo Ccllection | ||
* View | * View photos and their attributes | ||
* Select subset of | * Select subset of photos according to their attributes | ||
* Manually refine selection | * Manually refine selection | ||
* Export result set including attribute data | * Export result set including attribute data | ||
Revision as of 08:29, 28 June 2007
NOTE: This page is currently under construction. Please don't edit it at the moment!
FACES is a collaboration of the MPDL with the Max Planck Institute for Human Development.
What is FACES[edit]
Overview[edit]
FACES is a lifespan database of adult emotional facial stimuli. It contains a set of images of naturalistic faces of 171 persons, seperated in three different age groups (young, middle-aged and old) displaying each of 6 facial expressions: neutrality, sadness, disgust, fear, anger, and happiness.
For more details, please visit the FACES database homepage.
Details[edit]
Scope
- Developed between 2005-2007
- Currently 171 persons (men and women)
- 2 x 6 emotions
- 2052 pictures overall
- Available to defined user-group only as a java-application to be ordered by request on CD
Attributes
- ID, age, gender, emotion, picture group
Emotions
- Neutrality, sadness, disgust, fear, anger, happiness
Age Groups
- Young (58 persons), middle-aged (56 persons), old (n=persons)
Formats
- JPG images
- Attribute export as CSV
- No standard metadata-profiles
Available Image Resolutions
- 819 x 1024
- 2835 x 3543
- Thumbnails to be generated automatically
What should FACES become[edit]
Aim of the collaboration (expressed by UF):
Wesentlich wird es – neben der Einbindung in die eSciDoc-Architektur – darum gehen, die bisherigen "Attribute" auf der Ebene des einzelnen Bildes zu ergänzen um weitere, standardisierte Metadaten (ggf. METS) , und ein Rechtemanagement zu implementieren, d.h. differenzierte Zugriffsrechte zu ermöglichen. Dabei muss die Datenbank strukturell offen sein für die Aufnahme weiterer (Beschreibungs-) Daten – wie etwa von der Normierungsstudie zu erwarten.
Requirements
Administration
- Importing of Pictures
- Adding of attributes to images, also from external data
Viewer
- Browse photo Ccllection
- View photos and their attributes
- Select subset of photos according to their attributes
- Manually refine selection
- Export result set including attribute data