Graph-based social media story linking

Goncalo Marcelino; David Semedo; Joao Magalhaes

Graph-based social media story linking

Goncalo Marcelino, David Semedo, Joao Magalhaes

NOVALincs

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper describes graph-based approaches to extract the visual elements from social media regarding the TRECVID Linking task story topics. We propose a sequential graph model and a fully connected graph.

Original language	English
Title of host publication	2018 TREC Video Retrieval Evaluation, TRECVID 2018
Editors	G. Awad, A. A. Butt, K. Curtis, Y. Lee, J. G. Fiscus, A. Godil, D. Joy, A. Delgado, A. F. Smeaton, Y. Graham, W. Kraaij, G. Quenot, J. Magalhães, D. Semedo, S. G. Blasi
Publisher	National Institute of Standards and Technology (NIST)
Publication status	Published - 2020
Event	2018 TREC Video Retrieval Evaluation, TRECVID 2018 - Gaithersburg, United States Duration: 13 Nov 2018 → 15 Nov 2018

Conference

Conference	2018 TREC Video Retrieval Evaluation, TRECVID 2018
Country/Territory	United States
City	Gaithersburg
Period	13/11/18 → 15/11/18

Cite this

Marcelino, G., Semedo, D., & Magalhaes, J. (2020). Graph-based social media story linking. In G. Awad, A. A. Butt, K. Curtis, Y. Lee, J. G. Fiscus, A. Godil, D. Joy, A. Delgado, A. F. Smeaton, Y. Graham, W. Kraaij, G. Quenot, J. Magalhães, D. Semedo, & S. G. Blasi (Eds.), 2018 TREC Video Retrieval Evaluation, TRECVID 2018 National Institute of Standards and Technology (NIST).

Marcelino, Goncalo ; Semedo, David ; Magalhaes, Joao. / Graph-based social media story linking. 2018 TREC Video Retrieval Evaluation, TRECVID 2018. editor / G. Awad ; A. A. Butt ; K. Curtis ; Y. Lee ; J. G. Fiscus ; A. Godil ; D. Joy ; A. Delgado ; A. F. Smeaton ; Y. Graham ; W. Kraaij ; G. Quenot ; J. Magalhães ; D. Semedo ; S. G. Blasi. National Institute of Standards and Technology (NIST), 2020.

@inproceedings{f0a99380975541baa6f02fee51af0aa5,

title = "Graph-based social media story linking",

abstract = "This paper describes graph-based approaches to extract the visual elements from social media regarding the TRECVID Linking task story topics. We propose a sequential graph model and a fully connected graph.",

author = "Goncalo Marcelino and David Semedo and Joao Magalhaes",

year = "2020",

language = "English",

editor = "G. Awad and Butt, {A. A.} and K. Curtis and Y. Lee and Fiscus, {J. G.} and A. Godil and D. Joy and A. Delgado and Smeaton, {A. F.} and Y. Graham and W. Kraaij and G. Quenot and J. Magalh{\~a}es and D. Semedo and Blasi, {S. G.}",

booktitle = "2018 TREC Video Retrieval Evaluation, TRECVID 2018",

publisher = "National Institute of Standards and Technology (NIST)",

note = "2018 TREC Video Retrieval Evaluation, TRECVID 2018 ; Conference date: 13-11-2018 Through 15-11-2018",

}

Marcelino, G , Semedo, D & Magalhaes, J 2020, Graph-based social media story linking. in G Awad, AA Butt, K Curtis, Y Lee, JG Fiscus, A Godil, D Joy, A Delgado, AF Smeaton, Y Graham, W Kraaij, G Quenot, J Magalhães, D Semedo & SG Blasi (eds), 2018 TREC Video Retrieval Evaluation, TRECVID 2018. National Institute of Standards and Technology (NIST), 2018 TREC Video Retrieval Evaluation, TRECVID 2018, Gaithersburg, United States, 13/11/18.

Graph-based social media story linking. / Marcelino, Goncalo ; Semedo, David ; Magalhaes, Joao.
2018 TREC Video Retrieval Evaluation, TRECVID 2018. ed. / G. Awad; A. A. Butt; K. Curtis; Y. Lee; J. G. Fiscus; A. Godil; D. Joy; A. Delgado; A. F. Smeaton; Y. Graham; W. Kraaij; G. Quenot; J. Magalhães; D. Semedo; S. G. Blasi. National Institute of Standards and Technology (NIST), 2020.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Graph-based social media story linking

AU - Marcelino, Goncalo

AU - Semedo, David

AU - Magalhaes, Joao

PY - 2020

Y1 - 2020

N2 - This paper describes graph-based approaches to extract the visual elements from social media regarding the TRECVID Linking task story topics. We propose a sequential graph model and a fully connected graph.

AB - This paper describes graph-based approaches to extract the visual elements from social media regarding the TRECVID Linking task story topics. We propose a sequential graph model and a fully connected graph.

UR - http://www.scopus.com/inward/record.url?scp=85084957426&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85084957426

BT - 2018 TREC Video Retrieval Evaluation, TRECVID 2018

A2 - Awad, G.

A2 - Butt, A. A.

A2 - Curtis, K.

A2 - Lee, Y.

A2 - Fiscus, J. G.

A2 - Godil, A.

A2 - Joy, D.

A2 - Delgado, A.

A2 - Smeaton, A. F.

A2 - Graham, Y.

A2 - Kraaij, W.

A2 - Quenot, G.

A2 - Magalhães, J.

A2 - Semedo, D.

A2 - Blasi, S. G.

PB - National Institute of Standards and Technology (NIST)

T2 - 2018 TREC Video Retrieval Evaluation, TRECVID 2018

Y2 - 13 November 2018 through 15 November 2018

ER -

Graph-based social media story linking

Abstract

Conference

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