This paper describes the submissions of the EURECOM team to the TrecVid 2018 VTT task. We participated in the Sentence Matching subtask. Our approach is to project both descriptive texts and videos in the same vector space through a deep neural network, and to compare them using a cosine similarity. In particular, we compare several variants of sentence embeddings.
Type:
Conférence
Date:
2018-11-13
Department:
Data Science
Eurecom Ref:
5753
Copyright:
© NIST. Personal use of this material is permitted. The definitive version of this paper was published in and is available at :
See also:
