Conference item icon

Conference item

Use what you have: Video retrieval using representations from collaborative experts

Abstract:

The rapid growth of video on the internet has made searching for video content using natural language queries a significant challenge. Human generated queries for video datasets ‘in the wild’ vary a lot in terms of degree of specificity, with some queries describing ‘specific details’ such as the names of famous identities, content from speech, or text available on the screen. Our goal is to condense the multi-modal, extremely high dimensional information from videos into a single, compact vi...

Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed

Actions


Access Document


Files:
Publication website:
https://bmvc2019.org/programme/detailed-programme/

Authors


More by this author
Institution:
University of Oxford
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
Brasenose College
Role:
Author
ORCID:
0000-0002-8945-8573
Publisher:
British Machine Vision Association Publisher's website
Article number:
210
Publication date:
2020-04-14
Acceptance date:
2019-07-01
Event title:
30th British Machine Vision Conference (BMVC 2019)
Event location:
Cardiff, UK
Event website:
https://bmvc2019.org/
Event start date:
2019-09-09T00:00:00Z
Event end date:
2019-09-12T00:00:00Z
Source identifiers:
1048557
Language:
English
Keywords:
Pubs id:
pubs:1048557
UUID:
uuid:502da19a-2a9c-45f4-95f0-ee09ecf77340
Local pid:
pubs:1048557
Deposit date:
2019-09-02

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP