Graph Based Multimedia Analysis
Morgan Kaufmann Publishers In (Verlag)
978-0-443-21495-0 (ISBN)
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Dr. Ananda S. Chowdhury is a Professor and former Head in the Department of Electronics and Telecommunication Engineering at Jadavpur University, Kolkata, India, where he leads the Imaging, Vision and Pattern Recognition group. He received his Ph.D. degree in Computer Science from The University of Georgia, Athens, GA, USA and was a Postdoctoral Fellow at National Institutes of Health, Bethesda, MD, USA. He is a Senior Member of IEEE, and a Member of the International Association for Pattern Recognition Technical Committee (IAPR TC) on Graph based Representations. He has held invited academic visits to universities in France, Germany, Norway, Italy, The Netherlands, Singapore and Brazil. Dr. Chowdhury currently serves on the editorial boards of IEEE Transactions on Image Processing and Pattern Recognition Letters. His Erdös Number is two. Dr. Abhimanyu Sahu is an Assistant Professor in the Department of Computer Science & Engineering at Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India. He is a life member of ISTE. His current research interests include computer vision, multimedia analysis, and pattern recognition problems. Specifically, he is also interested in exploring different machine learning techniques (self-supervised/unsupervised learning, deep Learning) to solve several challenging problems in multimedia analysis such as summarization and action/object/activity recognition particularly in first-person (Egocentric) videos. He also worked on theoretical aspects of Graph-based modelings of the above fields.
1. Introduction
2. Theoretical Foundations
3. Exocentric Video Summarization
4. Multi-view Exocentric Video Summarization
5. Egocentric Video Summarization
6. Egocentric Video Co-summarization
7. Action Recognition in Egocentric Video
Erscheint lt. Verlag | 2.9.2024 |
---|---|
Verlagsort | San Francisco |
Sprache | englisch |
Maße | 152 x 229 mm |
Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
ISBN-10 | 0-443-21495-6 / 0443214956 |
ISBN-13 | 978-0-443-21495-0 / 9780443214950 |
Zustand | Neuware |
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