posted Aug 2, 2021, 6:17 PM by SangHyun Seo
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updated Aug 23, 2021, 12:18 AM by Sang-Soo Yeo
]
Dr. Irfan Mehmood
Assistant Professor, School of Media, Desing and Technology,
University of Bradford, UK
Irfan
Mehmood has been involved in IT industry and academia in Pakistan, South Korea,
and UK for over 10 years. He is now serving as a Assistant Professor in Applied
Artificial Intelligence, Faculty of Engineering & Informatics, School of
Media, Design and Technology, University of Bradford, UK. His sustained
contribution at various research and industry-collaborative projects give him
an extra edge to meet the current challenges faced in the field of multimedia
analytics, information mining and summarization. Specifically, he has made
significant contribution in the areas of visual surveillance, information
mining and data encryption. He has published 90+ papers in peer-reviewed
international journals and conferences such as Information Fusion,
Neurocomputing, IEEE Access, IEEE Transactions on Industrial Informatics, IEEE
Internet of Things Journal, International Journal of Information Management,
Future Generation Computer Systems, Sensors, Journal of Visual Communication
and Image Representation, Multimedia Tools and Applications, Computers in Human
Behaviour, EURASIP Journal on Image and Video Processing, Mobile Networks and
Applications, Computers in Biology and Medicine, Journal of Medical Systems,
Signal, Image and Video Processing, Bio-Medical Materials and Engineering, KSII
Transactions on Internet and Information Systems, NBIS 2015, MITA 2015, PlatCon
2016, SKIMA 2019, and IWFCV 2020. He is serving as a professional reviewer for
numerous well-reputed journals such as Journal of Visual Communication and
Image Representation, Future Generation Computer Systems, IEEE Access, Journal
of Super Computing, Signal Image and Video Processing, Multimedia Tools and
Applications, ACM Transactions on Embedded Computing Systems, and Enterprise
Information Systems. He acted as GE/LGE in several special issues of SCI/SCIE
indexed journals and is currently involved in editing of several other special
issues.
Abstract of Irfan Mehmood's Talk
In recent years, there has been a
tremendous increase in video capturing devices, which led to large personal and
corporate digital video archives. This huge volume of video data became a
source of inspiration for the development of vast numbers of applications such
as visual surveillance, multimedia recommender systems, and context-aware
advertising. The heterogeneity of video data, higher storage, processing cost,
and communication requirements demand for a system that can efficiently manage
and store huge amount of video data, while providing user-friendly access to
stored data at the same time.
To address this problem, video
summarization schemes have been proposed. Video summarization refers to the
extraction of keyframes, identifying most important and pertinent content. For
instance, gastroenterologist uses wireless capsule endoscopy video technology
to diagnose his patients. However, during capsule endoscopy process, video data
are produced in huge amounts, but only a limited amount of data is actually
useful for diagnosis. In this talk, we will explore two different aspects of
video summarization: visual surveillance and medical imaging.
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