A Dataset for Movie Description

TitleA Dataset for Movie Description
Publication TypeConference Paper
Year of Publication2015
AuthorsRohrbach, A., Rohrbach M., Tandon N., & Schiele B.
Other Numbers3749
Abstract

Descriptive video service (DVS) provides linguistic descriptions of movies and allows visually impaired people to follow a movie along with their peers. Such descriptions are by design mainly visual and thus naturally form an interesting data source for computer vision and computational linguistics. In this work we propose a novel dataset which contains transcribed DVS, which is temporally aligned to full length HD movies. In addition we also collected the aligned movie scripts which have been used in prior work and compare the two different sources of descriptions. In total the Movie Description dataset contains a parallel corpus of over 54,000 sentences and video snippets from 72 HD movies. We characterize the dataset by benchmarking different approaches for generating video descriptions. Comparing DVS to scripts, we find that DVS is far more visual and describes precisely what is shown rather than what should happen according to the scripts created prior to movie production.

Acknowledgment

This work was partially supported by a postdoctoral fellowship funded by the Federal Ministry of Education and Research (BMBF) through the FITweltweit program, administered by the German Academic Exchange Service (DAAD).

URLhttp://www.icsi.berkeley.edu/pubs/vision/datasetmovie15.pdf
Bibliographic Notes

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015), Boston, Massachusetts

Abbreviated Authors

A. Rohrbach, M. Rohrbach, N. Tandon, B. Schiele

ICSI Research Group

Vision

ICSI Publication Type

Article in conference proceedings