[visionlist] a large scale video dataset with multiple features is released

[Yi Yang]

Dear All,

A large scale video database is now released to public, which can be used to
test near duplicate video retrieval performance of different algorithms.
It can be also used to compare multi-view learning algorithms over
large dataset.
This database consists of 156,823 videos sequences
(2,907,447 keyframes), which were crawled from YouTube during the period of
July 2010 to September 2010. We provide the features (HSV and LBP) as
well as the ground
truth at http://itee.uq.edu.au/~shenht/UQ_VIDEO/. Please refer our paper
“Jingkuan Song, Yi Yang, Zi Huang, Heng Tao Shen, Richang Hong: Multiple
feature hashing for real-time large scale near-duplicate video retrieval.
ACM Multimedia, pages 423-432, 2011”  for details.


Yi