Educational Resource Centre (ERCe) Dataset (ICCV'13, IJCV'16)

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Including image sequences in jpeg format. A campus event schedule can be found in the table below. To facilitate downloading this huge video dataset, you may want to download and install the Baidu cloud bulter.

Details

The Educational Resource Centre (ERCe) dataset was collected from a publicly accessible webcam deployed on a university campus across about 2 months for semantic event based video synopsis research. This dataset can be exploited for other computer vision tasks, such as video classification, annotation or clustering.

Image sequences: organised by multiple folders named with the record time (GMT time zone). In each folder 3200 frames are contained.

Campus event schedule: mainly extracted from a university event calendar, including Student Orientation (Stud. Orient.), Career Fair, Forum on Gun Control and Gun Violence (Gun Forum), Group Studying, Scholarship Competition (Schlr. Comp.), Accommodative Service (Accom. Service), Cleaning. The detailed timetable of these events is given in the following table (Note that there is a gap of 5 hours between the university's time (UTC-05:00) and GMT time):

Event	Date or time
Student Orientation	08-09 January
Group Studying	27 January
Career Fair	07 February
Forum on Gun Control and Gun Violence	08 February
Scholarship Competition	02 March
Cleaning	around 05:00-09:00am
Accommodative Service	10:00-10:45am, 14 January 09:30-10:15am, 15 January 10:00-10:45am, 21 January 09:30-10:15am, 22 January 14:00-14:45pm, 23 January 14:30-15:15pm, 24 January 08:00-08:45am, 25 January 14:00-14:45pm, 04 February 09:30-10:15am, 05 February 12:00-12:45pm, 06 February 09:30-10:15am, 12 February 14:00-14:45pm, 15 February

Stream length: a total of 438 folders, each containing 3200 frames
Frame size: 480x640
Frame rate: ~5 Hz

The dataset is intended for research purposes only and as such cannot be used commercially. Please cite the following publication when this dataset is used in any academic and research reports.

References

1. Learning from Multiple Sources for Video Summarisation
   X. Zhu, C.C. Loy and S. Gong
   International Journal of Computer Vision, Vol. 117, No. 3, pp. 247-268, May 2016 (IJCV)
   [ PDF ] [ Project Page ]
2. Video Synopsis by Heterogeneous Multi-Source Correlation
   X. Zhu, C.C. Loy and S. Gong
   In Proc. IEEE International Conference on Computer Vision, Sydney, Australia, December 2013 (ICCV)
   [ PDF ] [ Poster ] [ Project Page ]