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| Workshop on Multimedia Signal Processing | |
|---|---|
| Name | Workshop on Multimedia Signal Processing |
| Discipline | Signal processing |
| Abbreviation | WMSP |
| Publisher | IEEE |
| Country | International |
| First | 1990s |
| Frequency | Annual |
Workshop on Multimedia Signal Processing
The Workshop on Multimedia Signal Processing is an international forum for research on audiovisual signal processing challenges involving image processing, video coding, speech processing, machine learning, and computer vision. The workshop convenes researchers from IEEE Signal Processing Society, International Telecommunication Union, MPEG, ITU-T, and academic institutions such as Massachusetts Institute of Technology, Stanford University, University of California, Berkeley, Carnegie Mellon University and University of Oxford to exchange advances in algorithms, datasets, and applications. It often co-locates with flagship conferences like ICASSP, NeurIPS, CVPR, ECCV, and ICASSP 2023.
The workshop focuses on multimedia signal processing topics spanning JPEG, MPEG-4, HEVC, AV1, and VVC codec research alongside learning-driven approaches from convolutional neural network studies at Google Research, Facebook AI Research, DeepMind, Microsoft Research, and OpenAI. Participants include engineers from Qualcomm, Intel, NVIDIA, Samsung Research, Sony Corporation, Huawei, Ericsson, and scholars affiliated with University of Cambridge, ETH Zurich, KTH Royal Institute of Technology, Tsinghua University, Peking University, and National University of Singapore. The program typically features peer-reviewed papers, poster sessions, tutorials, and technology demos presented by authors linked to projects from GitHub, TensorFlow, PyTorch, Keras, and datasets such as ImageNet, COCO dataset, VGGFace2, LibriSpeech, and YouTube-8M.
Early editions trace roots to conferences organized by the IEEE Signal Processing Society and workshops held alongside ICASSP 1996 and ICASSP 2000, attracting contributors from Bell Labs, AT&T Laboratories, SRI International, Bell Labs Research, Mitsubishi Electric Research Laboratories, and Hitachi. Notable editions co-located with ICASSP 2010, ICASSP 2015, and ICASSP 2020 featured special sessions on multimedia forensics and immersive media pioneered by teams at University of Illinois Urbana–Champaign, Georgia Institute of Technology, University of Toronto, University of British Columbia, and McGill University. Recent workshops have seen partnerships with IEEE Transactions on Multimedia, ACM Multimedia, Signal Processing Letters, and Transactions on Image Processing.
Common themes include video surveillance research influenced by methods from Stanford Vision Lab, MIT CSAIL, and Oxford Visual Geometry Group; audio-visual speech recognition initiatives led by groups at University of Cambridge and Johns Hopkins University; 3D reconstruction work related to projects at ETH Zurich and Princeton University; and compression innovations inspired by teams at Fraunhofer Society and Nokia Bell Labs. Workshops also address biometrics topics investigated by University of Maryland, University of Notre Dame, and University of Michigan, as well as forensic watermarking research from Universität Erlangen-Nürnberg and TNO. Interdisciplinary sessions draw on methods from Harvard University, Yale University, Columbia University, Princeton University, and New York University.
The organizing committee typically includes members from IEEE Signal Processing Society, ACM Special Interest Group on Multimedia, EURASIP, IET, and program chairs from universities such as Imperial College London, Delft University of Technology, University of Edinburgh, Sorbonne University, and Seoul National University. The format mirrors other technical workshops with double-blind peer review managed via platforms like EasyChair and CMT and follows submission policies aligned with IEEE Xplore proceedings and ACM Digital Library indexing. Tutorials have been delivered by researchers associated with Stanford AI Lab, Berkeley AI Research, Facebook AI Research, Apple Machine Learning Research, and Adobe Research.
Keynotes have featured prominent figures affiliated with institutions such as Yoshua Bengio (via Université de Montréal), Geoffrey Hinton (via University of Toronto), Andrew Ng (via Stanford University), Daphne Koller (via Columbia University), Fei-Fei Li (via Princeton University), Anil K. Jain (via Michigan State University), Hany Farid (via Dartmouth College), and industry leaders from Google DeepMind, IBM Research, Microsoft Research Cambridge, Amazon Web Services, Baidu Research, Tencent AI Lab, and Alibaba DAMO Academy. Contributors often include authors who have published in IEEE Transactions on Image Processing, IEEE Transactions on Multimedia, ACM Multimedia Proceedings, and Nature Communications.
Accepted papers cover algorithmic advances in super-resolution from labs like NVIDIA Research and Samsung AI Center, object detection innovations from UC Berkeley AI Research and Facebook AI Research, and speech enhancement work from Microsoft Research and Amazon Alexa. Proceedings are regularly archived in IEEE Xplore, cross-referenced with arXiv preprints, and indexed by Scopus and Google Scholar. Influential papers have later appeared in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Signal Processing: Image Communication, and conference volumes of CVPR, ICLR, and NeurIPS.
The workshop has influenced standards and products developed by ISO/IEC JTC 1/SC 29, 3GPP, MPEG, ITU-R, and companies such as Cisco Systems, Huawei, Apple Inc., Samsung Electronics, and Sony. Applications include streaming services built by Netflix, YouTube, Amazon Prime Video, Tencent Video, and Bilibili; video conferencing improvements used by Zoom Video Communications, Cisco Webex, Microsoft Teams, and Google Meet; and surveillance and biometrics deployments by Dahua Technology and Hikvision. Research outcomes have also been incorporated into healthcare imaging projects at Mayo Clinic, Johns Hopkins Medicine, Cleveland Clinic, and remote sensing initiatives led by NASA and European Space Agency.
Category:Signal processing conferences