Dataset: ClassX -- A Lecture Video Dataset for Query-by-Image Experiments
Abstract/Contents
- Abstract
[Please download the "README.txt" file for instructions]
We present a new large-scale dataset, called ClassX. This dataset is relevant to the problem of querying a video database by images that might share some contents with one or more video clips.
This dataset is composed of video clips that correspond to lecture segments. The video clips have been collected from 21 popular Stanford University courses, in the period from Autumn 2013 to Autumn 2014. The courses were offered by 6 different departments: Computer Science (10 courses), Electrical Engineering (5 courses), Management Sciences & Engineering (3 courses), Material Sciences (1 course), Civil & Environmental Engineering (1 course), and Computational & Mathematical Engineering (1 course).
The queries are 258 clean images of slides which are shown during a particular lecture.
We also release a separate set of slides, called ClassX-Training, which were used to train auxiliary retrieval structures in our system -- a total of 8,619 slides.
Description
| Type of resource | software, multimedia |
|---|---|
| Date created | July 2016 |
Creators/Contributors
| Author | Araujo, Andre | |
|---|---|---|
| Author | Yan, Mengyuan | |
| Author | Girod, Bernd |
Subjects
| Subject | classx |
|---|---|
| Subject | video search |
| Subject | query-by-image |
| Subject | lecture videos |
| Genre | Dataset |
Bibliographic information
| Related Publication | A. Araujo, J. Chaves, H. Lakshman, R. Angst and B. Girod. (2016).Large-Scale Query-by-Image Video Retrieval Using Bloom Filters. ArXiv. https://arxiv.org/abs/1604.07939 |
|---|---|
| Related item | |
| Location | https://purl.stanford.edu/sf888mq5505 |
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
Preferred citation
- Preferred Citation
- A. Araujo, J. Chaves, H. Lakshman, R. Angst and B. Girod, "Large-Scale Query-by-Image Video Retrieval Using Bloom Filters," arXiv:1604.07939
Collection
Research Datasets for Image, Video, and Multimedia Systems Group at Stanford
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- Contact
- afaraujo@alumni.stanford.edu
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