Localizing Moments in Video with Temporal Language

Lisa Anne Hendricks, Oliver Wang, Eli Shechtman, Josef Sivic, Trevor Darrell, Bryan Russell


Abstract
Localizing moments in a longer video via natural language queries is a new, challenging task at the intersection of language and video understanding. Though moment localization with natural language is similar to other language and vision tasks like natural language object retrieval in images, moment localization offers an interesting opportunity to model temporal dependencies and reasoning in text. We propose a new model that explicitly reasons about different temporal segments in a video, and shows that temporal context is important for localizing phrases which include temporal language. To benchmark whether our model, and other recent video localization models, can effectively reason about temporal language, we collect the novel TEMPOral reasoning in video and language (TEMPO) dataset. Our dataset consists of two parts: a dataset with real videos and template sentences (TEMPO - Template Language) which allows for controlled studies on temporal language, and a human language dataset which consists of temporal sentences annotated by humans (TEMPO - Human Language).
Anthology ID:
D18-1168
Volume:
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
Month:
October-November
Year:
2018
Address:
Brussels, Belgium
Editors:
Ellen Riloff, David Chiang, Julia Hockenmaier, Jun’ichi Tsujii
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
1380–1390
Language:
URL:
https://aclanthology.org/D18-1168
DOI:
10.18653/v1/D18-1168
Bibkey:
Cite (ACL):
Lisa Anne Hendricks, Oliver Wang, Eli Shechtman, Josef Sivic, Trevor Darrell, and Bryan Russell. 2018. Localizing Moments in Video with Temporal Language. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 1380–1390, Brussels, Belgium. Association for Computational Linguistics.
Cite (Informal):
Localizing Moments in Video with Temporal Language (Hendricks et al., EMNLP 2018)
Copy Citation:
PDF:
https://aclanthology.org/D18-1168.pdf
Attachment:
 D18-1168.Attachment.pdf
Video:
 https://aclanthology.org/D18-1168.mp4
Data
TEMPOCLEVRCharadesDiDeMo