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CITIUS Video Database - Information

This eye tracking video database can be used to validate visual attention models. This dataset includes 72 videos downloaded from Internet and some synthetic videos generated in the lab. The videos can be classified in four categories, natural and synthetic, with fixed or movement camera. It includes 27 synthetic videos with dynamic pop-out effects. The videos have been selected in order to minimize the influence of the top-down efects.

Videos

Number of videos … 72
Video resolution ….. 320×240 pixels
Frame rate (fps) ….. 15 fps (Natural) / 30 fps (Synthetic)
Video format ………. Mpeg 4
Video duration …….. Around 10 seconds. (198±93 Frames per video).

Subjective test

Observation distance .. The head of the subject was placed on a chin-rest located at 60cm from the display.
Environment ………….. ITU-R BT.500-11
Duration ………………. 11,4 min.
Free or Quality Task … Its a Task Free Experiment.
Calibration procedure .. The calibration procedure was carried out at the beginning of each block. The subject had to follow a target that was placed sequentially at 5 locations evenly distributed across the screen. Accuracy of the calibration was then validated at 4 of these calibrated locations. If the error in the estimated position was greater than 0.5 degrees of visual angle, the experiment was stopped and calibration restarted.

Eyetracker

Eyetracker …………….. SMI RED Eyetracker
Eyetracker mode ……… Binocular
Acquisition frequency … 50Hz

Observers

Number of observers … 22 naives with ages ranging from 11 to 43 (All the videos were presented in random order to each subject).
Number of fixations ….. 40.558 (Left eye) / 40.348 (Right eye) Extracted with BeGaze™ Software.
Subject-Video hours …. 4,19h (22 subjects*11,4min)

Display

Display model …….. The LCD display had a 1280×1024 pixels resolution, with a physical screen size of 33,792mm.(H) x 27,0336mm.(V)
Display resolution … 1280×1024
Display luminance … 0.65/450 cd/m²
Display frequency …. 60Hz

Fixation database structure

Each video has been reescaled to a 320×240 resolution and the fixation information for all the subjects is refered to the same image space. X and Y are image's coordinates refered to the leftmost bottom corner, and both parameters Start and Duration are in ms. All the fixations have been saved in the CITIUS_VDB_Fixations file,CITIUS_VDB_Fixations, using matlab with the following structure:

EyeTrackVDB
|-Video (List of Videos)
   → Name (Original video name)
   → ShortName (Used in publications)
   → NF   (Number of frames)
   → FPS  (Frames per second)
   → FixL (List of fixations for the left eye:  [X,Y,Start,Duration])
   → FixR (List of fixations for the right eye: [X,Y,Start,Duration])
   → Frame (List of Frames)
      |-Time (Start time for each frame)
      |-FixL (List of left fixations that happened during this frame: [X,Y,Start,Duration])
      |-FixR (List of right fixations that happened during this frame: [X,Y,Start,Duration])

How can I use this fixation database structure?

In the following example we illustrate how to access to the XY coordinates of the left eye fixations in the seventh frame of the third video of the database:

>> load('EyeTrackVDB.mat');

>> disp(EyeTrackVDB.Video(3).Name);

RCD_HelicopterCar_2.avi

>> disp(EyeTrackVDB.Video(3).Frame(7).FixL(:,1:2));

MATLAB script for the visualization of all the fixations

The MATLAB script “WEB_ShowVideoAndFixations.m” is another example that reads the MATLAB database file. This function shows all the fixations, for all the subjects, sumperimposed to the original video frames. It only needs the path of the database file and the name of the selected video. The stand alone database compressed file “CITIUS_VDB” includes all the folders with the needed information. The included MATLAB script assumes the following folder structure:

The folder “.\DataBases\Scripts\” — — — — — — — — — — - —→ should include this “.m” file.
The folder “.\DataBases\CITIUS\Videos\” — — — — — — — - - —→ should include the video files.
The folder “.\DataBases\CITIUS\HumanData\EyeTrackData\” - - —→ should include the “EyeTrackVDB.mat” file with the database information.

For example, to use this script to show the video “RCD_Surf_2.avi” with the fixations superimposed you should open matlab, change to the Scripts folder and type the following sentence at the command line. If you change, inside the code, the value of the boolean variable bVisFixPOS, you can see the fixation positions superimposed or not.

>> WEB_ShowVideoAndFixations('..\DataBases\CITIUS\HumanData\eyeTrackData\EyeTrackVDB.mat','RCD_Surf_2');


	RCD_Surf_2	bVisFixPOS=false	bVisFixPOS=true

or, if you want to show all the videos of the CITIUS database, in a new MATLAB figure, you can type:

>> WEB_ShowVideoAndFixations('..\DataBases\CITIUS\HumanData\eyeTrackData\EyeTrackVDB.mat',[]);

You can also use filters, for instance to show all the videos that contain the string 'RCD' in the name use:

>> WEB_ShowVideoAndFixations('..\DataBases\CITIUS\HumanData\eyeTrackData\EyeTrackVDB.mat','RCD');

Thumbnails of videos

The following images show thumbnails for the Natural videos in the CITIUS database. All the videos included on the database have been rescaled to a resolution of 320×240 pixels.

	Real with Dynamic Camera ☛
	Real with Static Camera ☛

The following images show thumbnails for the Synthetic videos in the CITIUS database.

	Synthetic with Static Camera ☛




	Synthetic with Dynamic Camera ☛

Download All

If you only want to download the videos you can do it by clicking on the download icons of the previous section. If you have a fast enough internet connection and you prefer to download a stand alone file, with all the information and folder structure included inside, you can download by clicking on this link:

CITIUS_VDB_Videos

Research Team

Xosé M. Pardo. Professor of Software and Computing Systems at the University of Santiago de Compostela (Spain).
Xosé R. Fdez-Vidal. Professor at the Department of Applied Physics. Santiago de Compostela University (Spain).
Víctor Leborán-Alvarez. PhD Student at the Santiago de Compostela University (CITIUS).
Antón Garcia-Diaz. PhD, AIMEN Technology Center - O Porriño, Spain.

Bib reference

The database, along with MATLAB functions for its use, will be freely downloaded here, and will be used without restriction for educational and research purposes, providing that our paper “Dynamic Whitening Saliency” from IEEE Transactions on Pattern Analysis and Machine Intelligence ( t-PAMI), is cited in any published work.

@article{10.1109/TPAMI.2016.2567391,
author = {Leborán Alvarez, Víctor and García-Díaz, Antón and Fdez-Vidal, Xosé R. and Pardo, Xosé M.},
title = {Dynamic Whitening Saliency},
journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume = {XX},
number = {XX},
issn = {0162-8828},
year = {2016},
pages = {XXXX-XXXX},
doi = {http://doi.ieeecomputersociety.org/10.1109/TPAMI.2016.2567391},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This information is under the license Creative Commons Reconocimiento-Compartir Igual 4.0 Internacional>. You can use this dataset on your publication as long as you include a citation to the reference on this page. When including a link to this dataset, please use this page instead of linking the file directly.

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