Eyetracking_For_Stereoscopic_Videos Fixation density maps on 3D videos
|Categories||3D / Eye tracking / Videos|
|Created the||24 Nov 2014|
Presentation & Goal
This 3D video database contains 47 stereoscopic videos and the associated gaze point map and the raw eye tracking data.
Among the 47 videos provided, 12 videos come from the University of Nantes databases, 24 from RMIT and the other 11 videos come from other places.
The database was created to measure how different features (including 2D visual features and depth information) affect the distribution of visual attention. The database can be used to evaluate the performance of computational models of 3D visual attention/saliency.
Source : 3D videos
There are the 47 3D videos composed by 2 2D videos merged on a side by side AVI files. The left view is store in first position and the right view is stored on second position.
You can visualize the 3D videos on a 3D system (PC + NVidia 3D Vision for example), by using the "Stereoscopic Player" : http://www.3dtv.at/Downloads/Index_en.aspx
Result : Disparity and saliency maps
The disparity maps are provided in Matlab files. There is one file for each frame of each video. In each Matlab file, there are 2 matrix. One compute the disparity from left to right and the other one from right to left. There are 3 dimensions for x axis, y axis value of the pixel and the third one is composed by 2 values : the disparity in y and x. The two first dimension is the resolution of the images divided by 2 to reduce the complexity of the computing.
The saliency maps are provided. There are PNG images.
More a pixel is white, more this pixel is visualized by the observers.
|SRC||Source name||Source preview||Disparity map preview||Saliency map preview|
|10||Pit stop car race|
|11||Formula 1 discover|
|17||Elephant dream 1|
|18||Elephant dream 2|
|19||Elephant dream 3|
|21||Homme oiseau newspaper|
|22||Okugai Duck Fountain|
|23||Okugai park falling leaves|
|24||RMIT University Bowen Street|
|25||RMIT University Courtyard|
|26||RMIT Courtyard View of Melbourne Central Tower|
|27||Flinders Street Station Traffic (Night) (Variant 2)|
|28||Flinders Street and St. Kilda Road Intersection (Night)|
|29||St. Kilda Rd Fountain with Traffic|
|31||Melbourne Arts Centre Wishing Well (Variant 1)|
|32||Melbourne Bicycle Stand (Swanston Street)|
|33||Path to the Shrine of Remembrance|
|34||Southbank Art Sculpture and Melbourne Skyline|
|35||State Library of Victoria|
|36||RMIT University Basketball Players|
|37||Swanston Street Tram Stop|
|38||Busking Piano Player|
|39||Botanic Gardens and Government House|
|40||Skateboarding down suburban street|
|42||St. Kilda Rd Bridge|
|43||State Library of Victoria (La Trobe Reading Room) 1|
|44||State Library of Victoria (La Trobe Reading Room) 2|
|45||State Library of Victoria (La Trobe Reading Room) 3|
|46||State Library of Victoria (La Trobe Reading Room) 4|
|47||Flinders Street Station|
Subjective experiment information
|Number of videos||47|
|Observer distance||3H (H = 31cm) = 93cm|
|Pre screening||Snellen, Ishihara|
|Number of observers||40 naives|
|Age : Mean [Range]||26 [19 44] years|
|Male / Female repartition||23 / 17|
|Eyetracker acquisition frequency||50Hz|
|Display model||Panasonic BT-3DL2550|
|Display resolution||Full HD (1920x1080 pixels)|
|Display luminance max||180cd/m² (70 measured through the glasses)|
Source publication : Please, cite the following paper(s) in your publications if you use this database in your work
Database Download Guide for ftp://ftp.ivc.polytech.univ-nantes.fr/IRCCyN_IVC_Eyetracking_For_Stereoscopic_Videos
Use a FTP Manager to download all files at once
With Filezilla (Windows, Linux, Mac OS)
- Download the FileZilla Client software at https://filezilla-project.org/ and install it.
- Launch File > Sites Manager and fill in the form. The Host is ftp.ivc.polytech.univ-nantes.fr. Use Anonymous for Logon Type. All others fields can be left blank. Finally, press Connect.
- In the first panel, you can see connection's logs. Normally, a message like Response: 220 ftproxy FTP server (Version 22.214.171.124 - 2005/01/11 13:03:28) ready. is printed.
- The left column below contains your computer file system and the selected folder. In the right column, you can see the FTP server file system and its selected folder.
- In the left colum, select the local directory in which receive the database. In the right panel, find IRCCyN_IVC_Eyetracking_For_Stereoscopic_Videos , right click and press Download.
- Bottom panel shows file transfer informations. All files of the databases are being downloaded in your computer. Please wait during the transfer.
With WGET (Linux)
Copy and paste this command in a terminal :
wget -P your/destination/folder ftp://ftp.ivc.polytech.univ-nantes.fr/IRCCyN_IVC_Eyetracking_For_Stereoscopic_Videos