Dataset: Stanford I2V -- A News Video Dataset for Query-by-Image Experiments
Abstract/Contents
- Abstract
[Please download the "README.txt" file for instructions]
We present the Stanford I2V dataset, a large-scale dataset which is useful for research on the problem of querying a video database using images. We have collected more than 3,800 hours of newscast videos and annotated more than 200 ground-truth queries. The dataset can be visually explored at http://blackhole1.stanford.edu/vidsearch/dataset/stanfordi2v.html .
We also introduce the Video Bookmarking dataset, which makes use of the same database videos as the Stanford I2V dataset, but introducing a different query set. The application modeled by this dataset corresponds to the case where a user is interested in retrieving the video being played using a picture of a display, e.g., to resume playback in a different device.
Description
| Type of resource | software, multimedia |
|---|---|
| Date created | November 2014 |
Creators/Contributors
| Author | Araujo, Andre | |
|---|---|---|
| Author | Chaves, Jason | |
| Author | Chen, David | |
| Author | Angst, Roland | |
| Author | Girod, Bernd |
Subjects
| Subject | video search |
|---|---|
| Subject | image-based retrieval |
| Subject | visual search |
| Subject | news videos |
| Genre | Dataset |
Bibliographic information
| Related Publication | A. Araujo, J. Chaves, D. Chen, R. Angst, and B. Girod, “Stanford I2V: A News Video Dataset for Query-by-Image Experiments,” in Proc. ACM Multimedia Systems Conference, 2015. http://dx.doi.org/10.1145/2713168.2713197 |
|---|---|
| Related item | |
| Location | https://purl.stanford.edu/zx935qw7203 |
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, D. Chen, R. Angst, and B. Girod, “Stanford I2V: A News Video Dataset for Query-by-Image Experiments,” in Proc. ACM Multimedia Systems Conference, 2015.
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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