MORE'25 Multimedia Object Re-ID: Advancements, Challenges, and Opportunities

Object re-identification (or object re-id) has gained significant attention in recent years, fueled by the increasing demand for advanced video analysis and safety systems. In object re-id, a query can be of different modalities, such as an image, a video, or natural language, containing or describing the object of interest. This workshop aims to bring together researchers, practitioners, and enthusiasts interested in object re-id to delve into the latest advancements, challenges, and opportunities in this dynamic field. The workshop covers a spectrum of topics related to object re-id, including but not limited to deep metric learning, multi-view data generation, video-based object re-id, cross-domain object re-id, and real-world applications. The workshop provides a platform for researchers to showcase their work, exchange ideas, and foster potential collaborations. Additionally, it serves as a valuable opportunity for practitioners to stay abreast of the latest developments in object re-id technology.

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Publication Details

Published
2025-05-08
DOI
https://doi.org/10.1145/3701716.3717657
Primary Topic
Advanced Image and Video Retrieval Techniques
Type
article
Field-Weighted Citation Impact
0.00
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MORE'25 Multimedia Object Re-ID: Advancements, Challenges, and Opportunities

Shuyu Yang, Zhedong Zheng, Yunzhong Hou, Zhun Zhong et al.
Advanced Image and Video Retrieval Techniques
article

MORE'25 Multimedia Object Re-ID: Advancements, Challenges, and Opportunities

Shuyu Yang, Zhedong Zheng, Yunzhong Hou, Zhun Zhong, Liang Zheng, Yaxiong Wang
article en

Abstract

Object re-identification (or object re-id) has gained significant attention in recent years, fueled by the increasing demand for advanced video analysis and safety systems. In object re-id, a query can be of different modalities, such as an image, a video, or natural language, containing or describing the object of interest. This workshop aims to bring together researchers, practitioners, and enthusiasts interested in object re-id to delve into the latest advancements, challenges, and opportunities in this dynamic field. The workshop covers a spectrum of topics related to object re-id, including but not limited to deep metric learning, multi-view data generation, video-based object re-id, cross-domain object re-id, and real-world applications. The workshop provides a platform for researchers to showcase their work, exchange ideas, and foster potential collaborations. Additionally, it serves as a valuable opportunity for practitioners to stay abreast of the latest developments in object re-id technology.

Australian National University (AU), University of Nottingham (GB), Hefei University of Technology (CN), University of Macau (MO), Xi'an Jiaotong University (CN)
Openalex Percentile: Top 91%
Advanced Image and Video Retrieval Techniques
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