We introduce two large video datasets namely Sports-10K and TV series-1M to demonstrate scene text retrieval in the context of video sequences. The first one is from sports video clips, containing many advertisement signboards, and the second is from four popular TV series: Friends, Buffy, Mr. Bean, and Open All Hours. The TV series-1M contains more than 1 million frames. Words such as central, perk, pickles, news, SLW27R (a car number) frequently appear in the TV series-1M dataset. All the image frames extracted from this dataset are manually annotated with the query text they may contain. Annotations are done by a team of three people for about 150 man-hours. We use 10 and 20 query words to demonstrate the retrieval performance on the Sports-10K and the TV series-1M datasets respectively.
| Please mail us at anand.mishra@research.iiit.ac.in for a copy of these two datasets (To be used for research purpose only). |
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Anand Mishra, Karteek Alahari and C. V. Jawahar. Image Retrieval using Textual Cues ICCV 2013 [PDF] |
@InProceedings{MishraICCV13,
author = "Mishra, A. and Alahari, K. and Jawahar, C.~V.",
title = "Image Retrieval using Textual Cues",
booktitle = "ICCV",
year = "2013",
}
| For any queries about the dataset feel free to contact Anand Mishra. Email:1stName.LastName@research.iiit.ac.in |