Ecole d'ingénieur et centre de recherche en Sciences du numérique

EURECOM at TRECVID 2017: The adhoc video search

Francis, Danny; Merialdo, Bernard; Huet, Benoit

TRECVID 2017, 21th International Workshop on Video Retrieval Evaluation, 13-15 Novembre 2017, Gaithersburg, Ma, USA

This paper describes the submissions of the EURECOM team to the TRECVID 2017 AVS task. Our approach is to project both the text topic and the visual keyframes in the same vector space, corresponding to a word embedding. We compare and combine several word embeddings, also using specific keyword weightings.

Document Bibtex

Titre:EURECOM at TRECVID 2017: The adhoc video search
Type:Conférence
Langue:English
Ville:Gaithersburg
Pays:ÉTATS-UNIS
Date:
Département:Data Science
Eurecom ref:5403
Copyright: © NIST. Personal use of this material is permitted. The definitive version of this paper was published in TRECVID 2017, 21th International Workshop on Video Retrieval Evaluation, 13-15 Novembre 2017, Gaithersburg, Ma, USA and is available at :
Bibtex: @inproceedings{EURECOM+5403, year = {2017}, title = {{EURECOM} at {TRECVID} 2017: {T}he adhoc video search}, author = {{F}rancis, {D}anny and {M}erialdo, {B}ernard and {H}uet, {B}enoit}, booktitle = {{TRECVID} 2017, 21th {I}nternational {W}orkshop on {V}ideo {R}etrieval {E}valuation, 13-15 {N}ovembre 2017, {G}aithersburg, {M}a, {USA} }, address = {{G}aithersburg, {\'{E}}{TATS}-{UNIS}}, month = {11}, url = {http://www.eurecom.fr/publication/5403} }
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