The 3rd International Workshop on Multimedia Content Generation and Evaluation: New Methods and Practice (McGE)
In Conjunction with ACM MM 2025
Dublin, Ireland | 27 October - 31 October 2025

Introduction

Welcome to the homepage of the 3rd International Workshop on Multimedia Content Generation and Evaluation: New Methods and Practice (McGE)!

The primary objectives of this workshop are as follows:

To facilitate interdisciplinary discussions and collaborations among researchers and practitioners working on multimedia content generation, quality assessment, datasets, and construction.

To present state-of-the-art research, novel techniques, and practical applications in multimedia content generation, including but not limited to image synthesis, video generation, text-to-image, and image-to-text conversion.

To address challenges and explore new approaches in quality assessment of multimedia content, considering factors such as perceptual quality, semantic coherence, and technical quality.

To discuss the development and evaluation of diverse and large-scale multimedia datasets, addressing issues such as data bias, annotation quality, and ethical considerations.

To explore methods and tools for constructing effective multimedia datasets that can serve as benchmarks for the research community, driving innovation and progress in multimedia research.

Call for Papers

We invite submissions for the Workshop on Multimedia Content Generation and Evaluation: New Methods and Practice to be held in conjunction with the ACM Multimedia 2025 conference. The workshop aims to bring together researchers and practitioners to discuss state-of-the-art research, novel techniques, and practical applications in multimedia content generation, quality assessment, datasets, and construction. The topics may include but are not limited to:

    Multimedia content generation:
  • Automatic image, video and audio generation technology
  • Virtual reality and augmented reality content generation
  • Semantic scene generation and synthesis
  • Multimodal data fusion and representation

    • Quality assessment:
  • Subjective and objective quality assessment methods
  • Visual quality assessment based on human visual system
  • Quality assessment of multimedia content compression and transmission
  • Adaptive multimedia quality assessment
  • Audio and video synchronization evaluation

    • Datasets and construction tools
  • Public datasets for multimedia content generation and evaluation
  • Data set expansion and data preprocessing technology
  • Annotation and data mining tools
  • Collection and organization of open source multimedia datasets
  • Privacy and ethical issues of multimedia datasets
  • Challenges and countermeasures of small samples and imbalanced datasets

Paper Submission

OpenReview website: https://openreview.net/group?id=acmmm.org/ACMMM/2025/Workshop/McGE

After signing in the ACM MM 2025 submission site as the author, please choose our workshop name to submit the paper. Submissions can be of varying length from 4 to 8 pages, plus additional pages for the reference pages; i.e., the reference page(s) are not counted to the page limit of 4 to 8 pages. There is no distinction between long and short papers, but the authors may themselves decide on the appropriate length of the paper. All papers will be peer-reviewed by experts in the field, they will receive at least three reviews. Acceptance will be based on relevance to the workshop, scientific novelty, and technical quality. The workshop papers will be published in the ACM Digital Library.

Please refer to the main conference site for submission policies on blinding, originality, author lists and ArXiv publications.

Important Dates

  • Paper submission deadline:       July 5, 2025    July 15, 2025
  • Notification of acceptance:        July 23, 2025
  • Camera ready submission:        August 2, 2025   August 8, 2025
  • Workshop Date (Hybrid):         October 29, 2025

Keynote Speakers

Shahram Ghandeharizadeh

University of Southern California

Flying Light Specks: Dronevision, Holodecks and Spatial Computing

Biography

Shahram Ghandeharizadeh has been on the faculty of the USC Computer Science Department since 1990. In the mid 1990s when VHS and BETA tapes were dominant, his research group built Mitra, the first streaming software system with the ability to scale to multiple nodes. This groundbreaking system was later licensed by Panasonic for its research and development initiatives. In addition to Mitra, he has contributed to several pioneering systems, earning him the prestigious ACM Software System Award in 2008. FLS displays are the latest addition to his body of work, currently supported by two NSF grants. He is actively cultivating a collaborative academic network to expedite the research and realization of the Dronevision project. This includes the annual Holodecks Conference, with the next installment scheduled for January 8, 2026. See https://www.holodecks.quest for details.

Abstract

Since their introduction in 2021, the concept of 3D multimedia displays using Flying Light Specks (FLSs) has started to gain wider adoption. An FLS is a small drone configured with light sources and sensors that enable it to detect human touch [6]. A swarm of FLSs illuminates [3, 4, 7] 3D shapes and animations in a fixed volume that are visible to the naked eye and responsive to direct interaction with bare hands [2, 5, 9]. They are a building block of desktop 3D multimedia displays, a Dronevision [1, 10], a room sized 3D multimedia display, a Holodeck [6], and our 3D world, Spatial Computing [8]. They complement existing Augmented Reality (AR) and eXtended Reality (XR) glasses. They shape the frontiers of multimedia systems research with the potential to revolutionize how we collaborate and work, learn and educate, design and manufacture, receive and deliver healthcare, and play and entertain.

Workshop Organizers

This workshop is supported by the Innovation Center of Calligraphy and Painting Creation Technology, MCT, China

Prof. Cheng Jin

jc AT fudan.edu.cn

Fudan University, China

Prof. Mingli Song

songml AT zju.edu.cn

Zhejiang University, China

Prof. Rui Wang

wangrui AT iie.ac.cn

University of Chinese Academy of Sciences, China

A/Prof. Xingjiao Wu

xjwu AT pharm.ecnu.edu.cn

East China Normal University, China