2014 - IEEE Fellow For contributions to multimedia content processing and security
Mohan S. Kankanhalli mostly deals with Artificial intelligence, Computer vision, Multimedia, Machine learning and Digital watermarking. Artificial intelligence connects with themes related to Pattern recognition in his study. His Computer vision research incorporates themes from Content and Visual cryptography.
He interconnects Benchmarking and Data mining, Computer graphics in the investigation of issues within Multimedia. His Machine learning research is multidisciplinary, incorporating elements of Topic model and Semantics. In his research, Copy protection, Cryptography, Speech coding and Multimedia document is intimately related to Watermark, which falls under the overarching field of Digital watermarking.
Mohan S. Kankanhalli mainly focuses on Artificial intelligence, Computer vision, Multimedia, Machine learning and Speech recognition. Artificial intelligence is frequently linked to Pattern recognition in his study. His Computer vision and Digital watermarking, Segmentation, Image processing, Multiview Video Coding and Image segmentation investigations all form part of his Computer vision research activities.
As part of his studies on Digital watermarking, Mohan S. Kankanhalli often connects relevant areas like Computer security. By researching both Speech recognition and Audio signal processing, he produces research that crosses academic boundaries. His Video tracking study focuses on Video compression picture types in particular.
His main research concerns Artificial intelligence, Machine learning, Deep learning, Pattern recognition and Object. The study incorporates disciplines such as Computer vision and Code in addition to Artificial intelligence. When carried out as part of a general Computer vision research project, his work on Segmentation is frequently linked to work in Action recognition, therefore connecting diverse disciplines of study.
His Machine learning research includes themes of Adversarial system and Robustness. The various areas that he examines in his Deep learning study include Context, Feature, Representation, Discriminative model and Focus. His research in Object intersects with topics in Scene graph, Theoretical computer science and Set.
His primary scientific interests are in Artificial intelligence, Machine learning, Artificial neural network, Deep learning and Robustness. The concepts of his Artificial intelligence study are interwoven with issues in Computer vision and Set. His Interpretability, Support vector machine and Recommender system study, which is part of a larger body of work in Machine learning, is frequently linked to Empirical research, bridging the gap between disciplines.
His Artificial neural network research also works with subjects such as
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Multimodal fusion for multimedia analysis: a survey
Pradeep K. Atrey;M. Anwar Hossain;Abdulmotaleb El Saddik;Mohan S. Kankanhalli.
Multimedia Systems (2010)
Shape measures for content based image retrieval: a comparison
Babu M. Mehtre;Mohan S. Kankanhalli;Wing Foon Lee.
Information Processing and Management (1997)
Color matching for image retrieval
Babu M. Mehtre;Mohan S. Kankanhalli;A. Desai Narasimhalu;Guo Chang Man.
Pattern Recognition Letters (1995)
Anonymous secure routing in mobile ad-hoc networks
Bo Zhu;Zhiguo Wan;M.S. Kankanhalli;Feng Bao.
local computer networks (2004)
Trends and Trajectories for Explainable, Accountable and Intelligible Systems: An HCI Research Agenda
Ashraf Abdul;Jo Vermeulen;Danding Wang;Brian Y. Lim.
human factors in computing systems (2018)
Hierarchical Clustering Multi-Task Learning for Joint Human Action Grouping and Recognition
An-An Liu;Yu-Ting Su;Wei-Zhi Nie;Mohan Kankanhalli.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2017)
Controlled dissemination of digital information
Arcot D Narasimhalu;Weiguo Wang;Mohan S Kankanhall Kankanhalli.
Audio Based Event Detection for Multimedia Surveillance
P.K. Atrey;N.C. Maddage;M.S. Kankanhalli.
international conference on acoustics, speech, and signal processing (2006)
Depth Matters: Influence of Depth Cues on Visual Saliency
Congyan Lang;Tam V. Nguyen;Harish Katti;Karthik Yadati.
european conference on computer vision (2012)
An eye fixation database for saliency detection in images
Subramanian Ramanathan;Harish Katti;Nicu Sebe;Mohan Kankanhalli.
european conference on computer vision (2010)
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