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MM '18: Proceedings of the 26th ACM international conference on Multimedia
ACM2018 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
MM '18: ACM Multimedia Conference Seoul Republic of Korea October 22 - 26, 2018
ISBN:
978-1-4503-5665-7
Published:
15 October 2018
Sponsors:
Next Conference
October 28 - November 1, 2024
Melbourne , VIC , Australia
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Abstract

We are proud to present a remarkably diverse and highly interesting Technical Program for the ACM International Conference on Multimedia 2018 (ACM Multimedia 2018), which for the first time takes place in Seoul, Korea.

This year, a total of 15 areas of interest were grouped into four research themes, including an Understanding Theme (covering Multimedia and Vision, Multimodal Analysis and Description, and Deep Learning for Multimedia), an Engagement Theme (covering Emotional and Social Signals in Multimedia, Multimedia Search and Recommendation, and Social Multimedia), an Experience Theme (covering Multimedia HCI and Quality of Experience, Multimedia Art, Entertainment and Culture, Multimedia for Collaboration in Education and Distributed Environments, and Music, Speech and Audio Processing in Multimedia), and a System Theme (covering Mobile Multimedia, Multimedia Scalability and Management System, Multimedia Systems and Middleware, Multimedia Telepresence and Virtual/Augmented Reality, and Multimedia Transport and Delivery).

Each research theme was overseen by one of this year's Technical Program Chairs. For each area of interest, a team of Area Chairs (ACs), ranging from 2 to 19 members, was recruited to handle the paper review process. In total, 92 ACs were appointed. The sizes of the teams were defined based on the anticipated number of submissions in each area. All submissions co-authored by program chairs (in total only three submissions) were handled in a separate Conflict-of-Interest (CoI) track led by the Program Co-chair Tao Mei.

The paper assignment was conducted by the combination of an automatic paper matching process (i.e., Toronto Paper Matching System) and the relevance matching between the paper and reviewer categories. The papers were handled in a double-blind fashion and for each paper a minimum of three reviews were required. We have recruited 685 program committee members to contribute their professional reviews to the submissions in a double-blind approach. On average, we received more than 3.76 reviews for each submission by the review deadline, which enabled the ACs to write meta reviews and proposed initial recommendations before the TPC meetings. ACs were instructed to administratively reject improperly formatted papers and to move papers to other tracks if they believed there was a better fit for the paper. All the submissions with the similar topics were grouped to ensure a fair calibration in the same group.

Decisions on orals/posters and best papers were made at the Technical Program Committee meeting held at the Workpia Yokohama, Yokohama, Japan. Many of the ACs who were unable to attend were tele-present online for discussions. The emphasis of the TPC meeting was on borderline and controversial submissions. The discussions were detailed and intensive, taking into account all the available data, including reviews, the authors' rebuttals, the reviewers' and ACs' discussions, the initial recommendations by the ACs, and any reviews performed by ACs during the meeting.

Cited By

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    Collingham H, Wallace J, Crawshaw P and Hunt L Mariana's Song: Materializing Personhood through Non-Linear Multisensory Experiences Designed for People Living with Advanced Dementia Proceedings of the 2024 ACM Designing Interactive Systems Conference, (819-843)
  2. Ye W, Cai F, Ding Y, Bilas Pachori R and Chen L (2024). Reference-based attention mechanism and region segmentation line art colorization International Conference on Remote Sensing, Mapping and Image Processing (RSMIP 2024), 10.1117/12.3029682, 9781510680012, (46)
  3. Gerasimova E, Sholomov D and Osten W (2024). Assessment of the color compatibility of garments for building a recommendation system for an outfit Sixteenth International Conference on Machine Vision (ICMV 2023), 10.1117/12.3023213, 9781510674622, (8)
  4. Shi Y, Yu Z, Li T, Du S and Jing Y (2023). A Parted-based Method for Unsupervised Visible-Infrared Re-identification 2023 18th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), 10.1109/ISKE60036.2023.10481115, 979-8-3503-1840-1, (135-142)
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    Ji L, Park C, Rao Z and Chen Q Neural Image Popularity Assessment with Retrieval-augmented Transformer Proceedings of the 31st ACM International Conference on Multimedia, (2427-2436)
  6. Wang J, Zhang Y, Zhou W, Shen L and Zhong G (2023). Research on arbitrary style transfer algorithm based on attention mechanism 2023 3rd International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 10.1117/12.2684239, 9781510667563, (52)
  7. Li Y and Zhu L (2022). Research on the intelligent analysis of short video content based on virtualization technology 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022), 10.1117/12.2641298, 9781510657717, (2)
  8. Koudouridis G, He Q and Dán G (2022). An architecture and performance evaluation framework for artificial intelligence solutions in beyond 5G radio access networks, EURASIP Journal on Wireless Communications and Networking, 2022:1, Online publication date: 24-Sep-2022.
  9. Poreddy A, Kara P, Appina B, Simon A, Iftekharuddin K, Awwal A and Diaz-Ramirez V (2021). A no-reference 3D virtual reality image quality assessment algorithm based on saliency statistics Optics and Photonics for Information Processing XV, 10.1117/12.2597327, 9781510645202, (26)
  10. Li M, Kong M, Kuang K, Zhu Q, Wu F, Dai Q, Shimura T and Zheng Z (2020). Multi-task attribute-fusion model for fine-grained image recognition Optoelectronic Imaging and Multimedia Technology VII, 10.1117/12.2573311, 9781510639157, (19)
  11. ACM
    Hao Y, Wang N, Gao X, Li J and Wang X Dual-alignment Feature Embedding for Cross-modality Person Re-identification Proceedings of the 27th ACM International Conference on Multimedia, (57-65)
Contributors
  • University of Oldenburg
  • Seoul National University
  • University of Rochester
  • Tsinghua University
  • Yonsei University
  • University at Buffalo, The State University of New York
  • University of Augsburg

Recommendations

Acceptance Rates

MM '18 Paper Acceptance Rate 209 of 757 submissions, 28%;
Overall Acceptance Rate 995 of 4,171 submissions, 24%
YearSubmittedAcceptedRate
MM '1993625227%
MM '1875720928%
MM '1768418928%
MM '162375222%
MM '152525622%
MM '142865519%
MM '132354720%
MULTIMEDIA '053124916%
MULTIMEDIA '023304614%
MULTIMEDIA '971424028%
Overall4,17199524%