News
- Acceptance Rate:
- The acceptance rate of MIPR 2022 regular papers is 18.75%
- Best Paper Awards:
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MIPR 2022 Best paper awards go to:
Best Student Paper Award:
Title: Multi-Source Weak Supervision Fusion for Disaster Scene Recognition in Videos
Author:
Maria Presa-Reyes, Florida International University, USA
Yudong Tao, University of Miami, USA
Rui Ma, University of Miami, USA
Shu-Ching Chen, Florida International University, USA
Mei-Ling Shyu, University of Miami, USA
Best Paper Award:
Title: Contextual Active Learning for Person Re-Identification
Author:
Vineet Joshi, Indraprastha Institute of Information Technology Delhi, India
Subramanyam A. Venkata, Indraprastha Institute of Information Technology Delhi, India
- Virtual Platform:
- MIPR 2022 Virtual Platform Access
- Program Details
- The program details have been updated: Program Details (7/31/22)
- Presentation Instructions
- Instructions to prepare the presentaion video has been updated: Author Presentation Preparation Instructions
- Extension of deadline
- The submission deadline of the regular paper from Feb 28 to Mar 28, 2022, (11:59 PM PST)
- Welcome to MIPR 2022
- IEEE 5th International Conference on Multimedia Information Processing and Retrieval (MIPR 2022) is Taking Place Virtually. IEEE MIPR 2022 will be an online event. Proceedings will not be cancelled, and publications will continue as planned.
- August 2 - August 4, 2022. Taking Place Virtually.
About IEEE MIPR
Huge amounts of multimedia data are increasingly available and the knowledge of spatial and/or temporal phenomena becomes critical for many applications, which requires techniques for the processing, analysis, search, mining, and management of multimedia data. The 5th IEEE International Conference on Multimedia Information Processing and Retrieval (IEEE-MIPR 2022) will take place virtually on August 2 - August 4, 2022. The conference will provide a forum for original research contributions and practical system design, implementation, and applications of multimedia information processing and retrieval. The target audiences will be university researchers, scientists, industry professionals, software engineers and graduate students who need to become acquainted with new theories and technologies in multimedia information processing and retrieval.
