Camera Based and Mobile Recognition
Image recognition as a service differs from industrial machine vision in many ways. Not only the environment is uncontrolled, but camera hardware is unknown too. In the case of on-device recognition computational complexity of recognition methods and size of binary data (including CNN models) are critical. Situation is better in the presence of specialized processing hardware, but this implies proper software adaptation. Users cooperativity sighnifically improves recognition quality. On the other hand, random user can feed system with irrelevant data. These points clearly should not be ignored. We invite to this track specialists both in software and hardware to discuss mentioned problems and their possible solutions.
Chairman: Prof. Vladimir Arlazarov
VLADIMIR V. ARLAZAROV was born in Moscow, USSR in 1976. He received a Specialist degree in applied mathematics from the Moscow Institute of Steel and Alloys in 1999 and the Ph.D. degree in computer science in 2005. Since 1999 he has been working at the Institute for Systems Analysis of Russian Academy of Sciences (currently Federal Research Center «Computer Science and Control» of Russian Academy of Sciences), Moscow, Russia, as a Researcher, Senior Researcher and Head of Laboratory. Since 2016 he is a General Director of Smart Engines Service LLC, Moscow, Russia. Since 2018 he also works at the Institute for Information Transmission Problems of Russian Academy of Sciences as a Senior Researcher, and since 2012 at the Moscow Institute of Physics and Technology (State University), Moscow, Russia, as an Associate Professor. He has published over 90 papers and authored 7 patents. His primary fields of study are computer vision and document analysis systems.
The sessions covers (but is not limited to)
– Misusage detection;
– Energy consumption aware recognition methods and systems;
– Power efficient signal processing hardware;
– Computationally effective machine learning architectures;
– Object image rectification and stabilization;
– Real-time video stream analysis;
– Anytime algorithms for camera-based and mobile recognition;
– Real-time cooperative scenarios in machine aided recognition;
– Image analysis and recognition in uncontrolled dynamic
– Relevant quality metrics and datasets.
Notification September 05, 2021
Registration September 20, 2021