News

Awards
MIPR 2023 Best Paper Awards go to:

Best Student Paper Award:
Title: Two-Stage Dual Augmentation with CLIP for Improved Text-to-Sketch Synthesis.
Authors:
Zhenfei Zhang, University at Albany, State University of New York, USA
Ming-Ching Chang, University at Albany, State University of New York, USA

Best Paper Award:
Title: No Matter Small or Big Lip Motion: DeepFake Detection with Regularized Feature Learning on Semantic Information.
Authors:
Zhiyuan Yang, Nanyang Technological University, Singapore
Lap-Pui Chau, The Hong Kong Polytechnic University, Hong Kong, China
Bihan Wen, Nanyang Technological University, Singapore

Program Details
Please click Conference Program for program details.
Welcome to MIPR 2023
Welcome to IEEE 6th International Conference on Multimedia Information Processing and Retrieval (MIPR 2023)
August 30 - September 1, Singapore.
Important Dates
Full paper submission due: May 3, 2023 (11:59 PM Pacific Time)
Demo paper submission due: June 1, 2023
Notification of acceptance: June 20, 2023
Camera-ready deadline: July 27, 2023
Author registration deadline: July 31, 2023 (11:59 PM AOE, Anywhere on Earth)
Registration
Registration for IEEE MIPR'23 is open. Please click here for details.
Camera-Ready Instructions
Click here to view the camera-ready instructions.
Paper Submission Instructions
Instruction to submit paper has been updated here.
Call for papers
Details can be found here.


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 6th IEEE International Conference on Multimedia Information Processing and Retrieval (IEEE-MIPR 2023) will take place in Singapore on August 30–September 1, 2023. 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.