Sid is passionate about the applications of machine learning and AI to solve problems and improve enterprise systems. Here is his LinkedIn profile
Sid completed his PhD in Fall 2007. His dissertation was around multimedia encoding for resource-constrained devices. He received the Graduate Dissertation Award from the University. List of publications:
Book Chapter:
S.M. Bhandarkar, S. Chattopadhyay and S.S. Garlapati, Hybrid Layered Video Encoding for Mobile Internet-based Computer Vision and Multimedia Applications, in Mobile Multimedia Processing: Fundamentals, Methods and Applications, (X. Jiang, M. Ma and C-W. Chen, Eds.) Springer-Verlag, New York, NY, 2010.
Peer-reviewed journals and conferences:
Siddhartha Chattopadhyay and Suchendra M. Bhandarkar, “Hybrid layered video encoding and caching for resource constrained environments”,Elsevier Journal of Visual Communication and Image Representation, Volume 19 , Issue 8 (December 2008).
Siddhartha Chattopadhyay, Lakshmish Ramaswamy and Suchendra M. Bhandarkar, “A Framework for Encoding and Caching Video for Quality Adaptive Progressive Download”, Proc. of ACM Multimedia, Augsburg, Germany, September 24 – 29, 2007
Siddhartha Chattopadhyay, Suchendra M. Bhandarkar and Kang Li, "FGS-MR: MPEG4 Fine Grained Scalable Multi-Resolution Video Encoding for Adaptive Video Streaming”, Proc. of ACM NOSSDAV’06, Newport, Rhode Island, May 22–23, 2006 pp.
Siddhartha Chattopadhyay, S.Bhandarkar, Y.Wei and L.Ramaswam, “Video personalization and caching for resource constrained environments”, Proc. of International Workshop on Mobile Multimedia Processing, Tampa, Florida, Dec 7th 2008.
Mukundan Iyengar, Mainak Chatterjee and Siddhartha Chattopadhyay, "Evaluating QoE for streaming video in real-time", Proc. of IEEE Globecom 2009 Communications Quality of Service, Reliability and Performance Modeling Symposium (GC'09 CQRPM), 2009.
P. Parate, L. Ramaswamy, S.M. Bhandarkar, S. Chattopadhyay and H. Devulapally, Efficient Dissemination of Personalized Video Content Resource constrained Environments, Proc. IEEE Intl. Conf. Collaborative Computing, Networking, Applications and Worksharing (COLLABORATE-COM 2009), Washington, DC, November 2009
Siddhartha Chattopadhyay, Suchendra M. Bhandarkar and Kang Li, “Model-based Power Aware Compression Algorithms for MPEG-4 Virtual Human Animation in Mobile Environments”, IEEE Transactions on Multimedia, Jan/Feb, 2007
Siddhartha Chattopadhyay, Suchendra M. Bhandarkar and Kang Li, “Ligne-Claire Video Encoding for Power Constrained Mobile Environments”, Proc. Of ACM Multimedia, Augsburg, Germany, September 24 – 29, 2007
Siddhartha Chattopadhyay, Xingzhi Luo, Suchendra M. Bhandarkar and Kang Li, “FMOE-MR: content-driven multi-resolution MPEG-4 fine-grained scalable layered video encoding”, Proc. of ACM Multimedia Computing and Networking, San Jose (ACM MMCN’ 07), California, Jan 2007.
Siddhartha Chattopadhyay and Suchendra M. Bhandarkar, “MMR: MASK BASED MULTI-RESOLUTION IMAGES AND VIDEOS”, Proc. of IEEE International Conference on Image Processing, (IEEE ICIP’06), Oct 2006, Atlanta, pp. 2149-2152.
Suchendra M. Bhandarkar, Siddhartha Chattopadhyay and S.S.Garlapati, “Hybrid Layered video encoding for mobile internet-based multimedia”, Proc. of International Workshop on Mobile Multimedia Processing, Tampa, Florida, Dec 7th 2008.
Siddhartha Chattopadhyay, Suchendra M. Bhandarkar, Kang Li, "Human Motion Capture Data Compression by Model-Based Indexing: A Power Aware Approach," IEEE Transactions on Visualization and Computer Graphics, vol. 13, no. 1, pp. 5-14, Jan/Feb, 2007
Siddhartha Chattopadhyay, Suchendra M. Bhandarkar and Kang Li, "Compression by Indexing: An Improvement over MPEG-4 Body Animation Parameter Compression", Proc. of ACM Multimedia Computing and Networking, San Jose (ACM MMCN’ 06), California, Jan 2006, pp.
Siddhartha Chattopadhyay, Suchendra M. Bhandarkar and Kang Li, "Efficient Compression and Delivery of Stored Motion Data for Avatar Animation in Resource Constrained Devices", Proc. of ACM Virtual Reality Software and Technology (ACM VRST'05), Monterey, California, Nov 2005, pages 235 – 243. (Selected as one of the three best papers in VRST 2005)
Siddhartha Chattopadhyay, Suchendra M. Bhandarkar and Kang Li, "BAP Sparsing: A Novel Approach to MPEG-4 Body Animation Parameter Compression", Proc. of IEEE Computer Society International Conference on Multimedia Communications Systems (IEEE ICMCS'05), Montreal, Canada, pp. 104 – 109, Aug 2005.
Integrated BS + MS in Mathematics and Computing
Sid received the Best thesis award in the department; thesis: Machine Learning for Bipedal Robot Walking Parameters