Proliferation of mobile devices with video recording capability has lead to a tremendous growth in the amount of user-generated mobile videos. Researchers have embarked on developing new interesting applications and enhancement algorithms for mobile video. There is, however, no standard dataset with videos that could represent characteristics of mobile videos captured in realistic scenarios. The presented dataset consists of videos simultaneously recorded using mobile devices in an unconstrained manner by multiple users attending performance events. Each video is accompanied by concurrent readings from accelerometer and compass sensors. At the time of writing, the dataset contains 473 video clips, with a total length of 30 hours 41 minutes and total size of 122.8 GB. This dataset is useful as a common benchmark dataset for a variety of different research topics on mobile videos, including video analytics, video quality enhancement, and automatic video mashups.
The files are available for download via HTTP. Link: http://traces.cs.umass.edu/index.php/Mmsys/Mmsys Full dataset download script: Link: http://skuld.cs.umass.edu/traces/mmsys/2013/jiku/jiku-downloader.tar.gz Selective video download page: Link: http://liubei.ddns.comp.nus.edu.sg/jiku/dataset/download/
References and Citation
Use of the datasets in published work should be acknowledged by a full citation to the paper [SVO13] at the MMSys conference (Proceedings of ACM MMSys 13, February 27 - March 1, 2013, Oslo, Norway).
SVO13: Mukesh Saini, Seshadri Padmanabha Venkatagiri, Wei Tsang Ooi, Mun Choon Chan, The jiku mobile video dataset, Proceedings of the 4th ACM Multimedia Systems Conferen (MMSys), Oslo, Norway, USA, February 27 - March 1, 2013.