The dataset consists of 751 videos, each containing the performance one of the handball actions out of 7 categories (passing, shooting, jump-shot, dribbling, running, crossing, defence). The videos were manually extracted from longer videos recorded in handball practice sessions. 


The directory scenes/ contains the videos in mp4 format with actions of interest performed in context of other players present in the scene. The files are arranged in subdirectories according to the action class of the action of interest. The directory actions/ contains the videos of performances of actions by single players isolated from the videos in scenes directory. The files are arranged in subdirectories according to the performed action class. Files are named so that the beginning of the name matches the original video from which the action is extracted. The directory player_detections/ contains the object detections for each frame in the videos.


A supplementary material for the manuscript "Feasibility of visual guidance for auditory brainstem implantation with electromagnetic navigation in an ex vivo model". A video clip that describes the experiment in an explanatory matter was attached as a supplemental digital content.


Networked detector systems can be deployed in urban environments to aid in the detection and localization of radiological and/or nuclear material. However, effectively responding to and interpreting a radiological alarm using spec- troscopic data alone may be hampered by a lack of situational awareness, particularly in complex environments.


The diversity of video delivery pipeline poses a grand challenge to the evaluation of adaptive bitrate (ABR) streaming algorithms and objective quality-of-experience (QoE) models.

Here we introduce so-far the largest subject-rated database of its kind, namely WaterlooSQoE-IV, consisting of 1350 adaptive streaming videos created from diverse source contents, video encoders, network traces, ABR algorithms, and viewing devices.

We collect human opinions for each video with a series of carefully designed subjective experiments.


The Waterloo Quality-of-Experience IV database consists of 1,350 streaming videos (generated from 5 source videos x 2 encoders x 9 network traces x 5 ABR algorithms x 3 viewing devices). The 5 ABR algorithms include RB, BB, FastMPC, Pensieve, and RDOS.

The contains all meta data such as chunk level bitrate, rebuffering duration, spatial resolution, and MOS.

The contains the dash videos on the server.

The contains all the streaming videos in mp4.


For Lissajous scanning the synchronization of both axis is crucial. The laser beam is deflected vertically by the first MEMS mirror, redirected to the second mirror and deflected horizontally. In the proposed master slave concept, the synchronization controller Φ compensates for relative phase errors by duty cycle adjustments while individual PLLs keep each MEMS mirror stabilized. This videos show how the projected grid and center pixel drifts if the synchroniaztion controller between both MEMS mirrors with individual PLLs is turned off.


This paper proposes a reduced switch count WEtype inverter topology that employs one DC source, nine IGBTs, and one AC-switch comprising of two antiparallel IGBTs, and two capacitors. It is capable of generating 1.5 times boosted 13- level output voltage and employs modified Nearest Level Control (NLC), which considers both zero states. An algorithm based on redundant states controls the voltage across the auxiliary DClink at Vdc/2.


These are video demo of Motion compensated display. The data set used was captured at 100 samples per second from acclerometer and duration is 40 to 80 seconds. Using the above data, the algorithm has been implemented using MATLAB, and a video of the display is generated with and without compensation. The video results shows significant improvement in user experience. All videos shows left side with compensation and right side mimic what eye would see without compensation. Since the files are encoded with high quality better to use VLC player and a good computer.


Objectives:  Worldwide efforts to protect front line providers performing endotracheal intubation during the COVID-19 pandemic have led to innovative devices.  Authors evaluated the aerosol containment effectiveness of a novel intubation aerosol containment system (IACS) compared with a recently promoted intubation box and no protective barrier.  Methods:  In a simulation center at the authors’ university, the IACS was compared to no protective barrier and an intubation box.


Download and play video file


Along with the increasing use of unmanned aerial vehicles (UAVs), large volumes of aerial videos have been produced. It is unrealistic for humans to screen such big data and understand their contents. Hence methodological research on the automatic understanding of UAV videos is of paramount importance.


=================  Authors  ===========================

Lichao Mou,

Yuansheng Hua,

Pu Jin,

Xiao Xiang Zhu,


=================  Citation  ===========================

If you use this dataset for your work, please use the following citation:


  title= {{ERA: A dataset and deep learning benchmark for event recognition in aerial videos}},

  author= {Mou, L. and Hua, Y. and Jin, P. and Zhu, X. X.},

  journal= {IEEE Geoscience and Remote Sensing Magazine},

  year= {in press}



==================  Notice!  ===========================

This dataset is ONLY released for academic uses. Please do not further distribute the dataset on other public websites.