Computers & Internet Books:

Graph Based Multimedia Analysis

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$338.99
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Description

Graph Based Multimedia Analysis applies graph theory to the problems of analyzing an over-abundance of video data. Video data can be diverse: exocentric (captured by standard camera) or egocentric (captured by a wearable device like Google glass); of various durations; from multiple sources. Efficient extraction of important/useful information from such a large class of diverse inputs can be overwhelming. The book, with its rich repertoire of theoretically elegant solutions, empowers the audience to achieve tasks like obtaining concise yet useful summary and precisely recognizing single as well as multiple actions in a computationally efficient manner.

Author Biography:

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.
Release date Australia
September 2nd, 2024
Pages
370
Audience
  • Professional & Vocational
ISBN-13
9780443214950
Product ID
38539742

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