Indexing large online multimedia repositories using semantic expansion and visual analysis

Xavier Sevillano; Tomas Piatrik; Krishna Chandramouli; Qianni Zhang; Ebroul Izquierdo

doi:10.1109/MMUL.2012.28

Indexing large online multimedia repositories using semantic expansion and visual analysis

Xavier Sevillano^*
, Tomas Piatrik
, Krishna Chandramouli
, Qianni Zhang
, Ebroul Izquierdo

^*Corresponding author for this work

La Salle International School of Commerce and Digital Economy

Research output: Indexed journal article › Article › peer-review

3 Citations (Scopus)

Abstract

The proposed framework automatically predicts user tags for online videos from their visual features and associated textual metadata, which is semantically expanded using complementary textual resources.

Original language	English
Article number	6205726
Pages (from-to)	53-61
Number of pages	9
Journal	IEEE Multimedia
Volume	19
Issue number	3
DOIs	https://doi.org/10.1109/MMUL.2012.28
Publication status	Published - 2012

Keywords

MediaEval
bag-of-articles
geotagging
indexing
large-scale multimedia data
multimedia
semantic expansion
tagging
visual similarity

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10.1109/MMUL.2012.28

Cite this

@article{09612fc483f24b97bebd698ccd18e279,

title = "Indexing large online multimedia repositories using semantic expansion and visual analysis",

abstract = "The proposed framework automatically predicts user tags for online videos from their visual features and associated textual metadata, which is semantically expanded using complementary textual resources.",

keywords = "MediaEval, bag-of-articles, geotagging, indexing, large-scale multimedia data, multimedia, semantic expansion, tagging, visual similarity",

author = "Xavier Sevillano and Tomas Piatrik and Krishna Chandramouli and Qianni Zhang and Ebroul Izquierdo",

note = "Funding Information: This research was partially supported by the European Commission under contracts FP7-287723 REVERIE, FP7-287704 CUBRIK, FP7-261743 Video-Sense, and FP7-247688 3DLife and by the Spanish Ministry of Education under the National Program for Human Resources Mobility of the 2008-2011 R-D+i National Program with grant JC2010-0169.",

year = "2012",

doi = "10.1109/MMUL.2012.28",

language = "English",

volume = "19",

pages = "53--61",

journal = "IEEE Multimedia",

issn = "1070-986X",

publisher = "IEEE Computer Society",

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TY - JOUR

T1 - Indexing large online multimedia repositories using semantic expansion and visual analysis

AU - Sevillano, Xavier

AU - Piatrik, Tomas

AU - Chandramouli, Krishna

AU - Zhang, Qianni

AU - Izquierdo, Ebroul

N1 - Funding Information: This research was partially supported by the European Commission under contracts FP7-287723 REVERIE, FP7-287704 CUBRIK, FP7-261743 Video-Sense, and FP7-247688 3DLife and by the Spanish Ministry of Education under the National Program for Human Resources Mobility of the 2008-2011 R-D+i National Program with grant JC2010-0169.

PY - 2012

Y1 - 2012

N2 - The proposed framework automatically predicts user tags for online videos from their visual features and associated textual metadata, which is semantically expanded using complementary textual resources.

AB - The proposed framework automatically predicts user tags for online videos from their visual features and associated textual metadata, which is semantically expanded using complementary textual resources.

KW - MediaEval

KW - bag-of-articles

KW - geotagging

KW - indexing

KW - large-scale multimedia data

KW - multimedia

KW - semantic expansion

KW - tagging

KW - visual similarity

UR - https://www.scopus.com/pages/publications/84866058180

U2 - 10.1109/MMUL.2012.28

DO - 10.1109/MMUL.2012.28

M3 - Article

AN - SCOPUS:84866058180

SN - 1070-986X

VL - 19

SP - 53

EP - 61

JO - IEEE Multimedia

JF - IEEE Multimedia

IS - 3

M1 - 6205726

ER -

Indexing large online multimedia repositories using semantic expansion and visual analysis

Abstract

Keywords

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