The Google IO Dataset
Abstract/Contents
- Abstract
- The Google IO Dataset contains slide and spoken text data crawled from presentations in the Google IO Conference (2010-2012), with manually labeled ground truth relevance judgements. The dataset is particularly suitable for studying information retrieval using multi-modal data.
Description
| Type of resource | software, multimedia |
|---|---|
| Date created | July 20, 2014 |
Creators/Contributors
| Author | Chen, Huizhong |
|---|---|
| Author | Cooper, Matthew |
| Author | Joshi, Dhiraj |
| Author | Girod, Bernd |
Subjects
| Subject | multi-modal retrieval |
|---|---|
| Subject | video indexing |
| Genre | Dataset |
Bibliographic information
| Related Publication | Huizhong Chen, Matthew Cooper, Dhiraj Joshi, and Bernd Girod, "Multi-modal Language Models for Lecture Video Retrieval", in Proc. ACM-MM, 2014. http://dx.doi.org/10.1145/2647868.2654964 |
|---|---|
| Location | https://purl.stanford.edu/gc512qf7480 |
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
- Huizhong Chen, Matthew Cooper, Dhiraj Joshi, and Bernd Girod, "Multi-modal Language Models for Lecture Video Retrieval", in Proc. ACM-MM, 2014
Collection
Research Datasets for Image, Video, and Multimedia Systems Group at Stanford
View other items in this collection in SearchWorksContact information
- Contact
- hchen2@stanford.edu
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