ASMMC-MMAC 2018: The joint workshop of 4th the workshop on affective social multimedia computing and first multi-modal affective computing of large-scale multimedia data workshop

Dong Yan Huang; Hongxun Yao; Lei Xie; Sicheng Zhao; Jianhua Tao; Qingming Huang; Björn W. Schuller; Min Xu; Jie Yang

doi:10.1145/3240508.3243724

ASMMC-MMAC 2018: The joint workshop of 4th the workshop on affective social multimedia computing and first multi-modal affective computing of large-scale multimedia data workshop

Dong Yan Huang, Hongxun Yao, Lei Xie, Sicheng Zhao, Jianhua Tao, Qingming Huang, Björn W. Schuller, Min Xu, Jie Yang

School of Computer Science

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

Abstract

Affective social multimedia computing is an emergent research topic for both affective computing and multimedia research communities. Social multimedia is fundamentally changing how we communicate, interact, and collaborate with other people in our daily lives. Social multimedia contains much affective information. Effective extraction of affective information from social multimedia can greatly help social multimedia computing (e.g., processing, index, retrieval, and understanding). Besides, with the rapid development of digital photography and social networks, people get used to sharing their lives and expressing their opinions online. As a result, user-generated social media data, including text, images, audios, and videos, grow rapidly, which urgently demands advanced techniques on the management, retrieval, and understanding of these data.

Original language	English
Title of host publication	MM 2018 - Proceedings of the 2018 ACM Multimedia Conference
Publisher	Association for Computing Machinery, Inc
Pages	2120-2121
Number of pages	2
ISBN (Electronic)	9781450356657
DOIs	https://doi.org/10.1145/3240508.3243724
State	Published - 15 Oct 2018
Event	26th ACM Multimedia conference, MM 2018 - Seoul, Korea, Republic of Duration: 22 Oct 2018 → 26 Oct 2018

Publication series

Name	MM 2018 - Proceedings of the 2018 ACM Multimedia Conference

Conference

Conference	26th ACM Multimedia conference, MM 2018
Country/Territory	Korea, Republic of
City	Seoul
Period	22/10/18 → 26/10/18

Keywords

Affective computing
Large-scale multimedia data
Social multimedia

Access to Document

10.1145/3240508.3243724

Cite this

Huang, D. Y., Yao, H., Xie, L., Zhao, S., Tao, J., Huang, Q., Schuller, B. W., Xu, M., & Yang, J. (2018). ASMMC-MMAC 2018: The joint workshop of 4th the workshop on affective social multimedia computing and first multi-modal affective computing of large-scale multimedia data workshop. In MM 2018 - Proceedings of the 2018 ACM Multimedia Conference (pp. 2120-2121). (MM 2018 - Proceedings of the 2018 ACM Multimedia Conference). Association for Computing Machinery, Inc. https://doi.org/10.1145/3240508.3243724

Huang, Dong Yan ; Yao, Hongxun ; Xie, Lei et al. / ASMMC-MMAC 2018 : The joint workshop of 4th the workshop on affective social multimedia computing and first multi-modal affective computing of large-scale multimedia data workshop. MM 2018 - Proceedings of the 2018 ACM Multimedia Conference. Association for Computing Machinery, Inc, 2018. pp. 2120-2121 (MM 2018 - Proceedings of the 2018 ACM Multimedia Conference).

@inproceedings{1bcad7c314ca44a38b0f88a2f5518942,

title = "ASMMC-MMAC 2018: The joint workshop of 4th the workshop on affective social multimedia computing and first multi-modal affective computing of large-scale multimedia data workshop",

abstract = "Affective social multimedia computing is an emergent research topic for both affective computing and multimedia research communities. Social multimedia is fundamentally changing how we communicate, interact, and collaborate with other people in our daily lives. Social multimedia contains much affective information. Effective extraction of affective information from social multimedia can greatly help social multimedia computing (e.g., processing, index, retrieval, and understanding). Besides, with the rapid development of digital photography and social networks, people get used to sharing their lives and expressing their opinions online. As a result, user-generated social media data, including text, images, audios, and videos, grow rapidly, which urgently demands advanced techniques on the management, retrieval, and understanding of these data.",

keywords = "Affective computing, Large-scale multimedia data, Social multimedia",

author = "Huang, {Dong Yan} and Hongxun Yao and Lei Xie and Sicheng Zhao and Jianhua Tao and Qingming Huang and Schuller, {Bj{\"o}rn W.} and Min Xu and Jie Yang",

note = "Publisher Copyright: {\textcopyright} 2018 Copyright held by the owner/author(s).; 26th ACM Multimedia conference, MM 2018 ; Conference date: 22-10-2018 Through 26-10-2018",

year = "2018",

month = oct,

day = "15",

doi = "10.1145/3240508.3243724",

language = "英语",

series = "MM 2018 - Proceedings of the 2018 ACM Multimedia Conference",

publisher = "Association for Computing Machinery, Inc",

pages = "2120--2121",

booktitle = "MM 2018 - Proceedings of the 2018 ACM Multimedia Conference",

}

Huang, DY, Yao, H, Xie, L, Zhao, S, Tao, J, Huang, Q, Schuller, BW, Xu, M & Yang, J 2018, ASMMC-MMAC 2018: The joint workshop of 4th the workshop on affective social multimedia computing and first multi-modal affective computing of large-scale multimedia data workshop. in MM 2018 - Proceedings of the 2018 ACM Multimedia Conference. MM 2018 - Proceedings of the 2018 ACM Multimedia Conference, Association for Computing Machinery, Inc, pp. 2120-2121, 26th ACM Multimedia conference, MM 2018, Seoul, Korea, Republic of, 22/10/18. https://doi.org/10.1145/3240508.3243724

ASMMC-MMAC 2018: The joint workshop of 4th the workshop on affective social multimedia computing and first multi-modal affective computing of large-scale multimedia data workshop. / Huang, Dong Yan; Yao, Hongxun; Xie, Lei et al.
MM 2018 - Proceedings of the 2018 ACM Multimedia Conference. Association for Computing Machinery, Inc, 2018. p. 2120-2121 (MM 2018 - Proceedings of the 2018 ACM Multimedia Conference).

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

TY - GEN

T1 - ASMMC-MMAC 2018

T2 - 26th ACM Multimedia conference, MM 2018

AU - Huang, Dong Yan

AU - Yao, Hongxun

AU - Xie, Lei

AU - Zhao, Sicheng

AU - Tao, Jianhua

AU - Huang, Qingming

AU - Schuller, Björn W.

AU - Xu, Min

AU - Yang, Jie

PY - 2018/10/15

Y1 - 2018/10/15

N2 - Affective social multimedia computing is an emergent research topic for both affective computing and multimedia research communities. Social multimedia is fundamentally changing how we communicate, interact, and collaborate with other people in our daily lives. Social multimedia contains much affective information. Effective extraction of affective information from social multimedia can greatly help social multimedia computing (e.g., processing, index, retrieval, and understanding). Besides, with the rapid development of digital photography and social networks, people get used to sharing their lives and expressing their opinions online. As a result, user-generated social media data, including text, images, audios, and videos, grow rapidly, which urgently demands advanced techniques on the management, retrieval, and understanding of these data.

AB - Affective social multimedia computing is an emergent research topic for both affective computing and multimedia research communities. Social multimedia is fundamentally changing how we communicate, interact, and collaborate with other people in our daily lives. Social multimedia contains much affective information. Effective extraction of affective information from social multimedia can greatly help social multimedia computing (e.g., processing, index, retrieval, and understanding). Besides, with the rapid development of digital photography and social networks, people get used to sharing their lives and expressing their opinions online. As a result, user-generated social media data, including text, images, audios, and videos, grow rapidly, which urgently demands advanced techniques on the management, retrieval, and understanding of these data.

KW - Affective computing

KW - Large-scale multimedia data

KW - Social multimedia

UR - http://www.scopus.com/inward/record.url?scp=85058236336&partnerID=8YFLogxK

U2 - 10.1145/3240508.3243724

DO - 10.1145/3240508.3243724

M3 - 会议稿件

AN - SCOPUS:85058236336

T3 - MM 2018 - Proceedings of the 2018 ACM Multimedia Conference

SP - 2120

EP - 2121

BT - MM 2018 - Proceedings of the 2018 ACM Multimedia Conference

PB - Association for Computing Machinery, Inc

Y2 - 22 October 2018 through 26 October 2018

ER -

Huang DY, Yao H, Xie L, Zhao S, Tao J, Huang Q et al. ASMMC-MMAC 2018: The joint workshop of 4th the workshop on affective social multimedia computing and first multi-modal affective computing of large-scale multimedia data workshop. In MM 2018 - Proceedings of the 2018 ACM Multimedia Conference. Association for Computing Machinery, Inc. 2018. p. 2120-2121. (MM 2018 - Proceedings of the 2018 ACM Multimedia Conference). doi: 10.1145/3240508.3243724

ASMMC-MMAC 2018: The joint workshop of 4th the workshop on affective social multimedia computing and first multi-modal affective computing of large-scale multimedia data workshop

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this