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Imaging and Multimedia Analytics in a Web and Mobile World 2020

Conference Keywords: Multimedia Analysis, Machine Learning, Mobile, Imaging, Web

IMAWM 2020 Call for Papers PDF

Tuesday January 28, 2020

7:30 – 8:45 AM Women in Electronic Imaging Breakfast

Drone Imaging I

Session Chairs: Andreas Savakis, Rochester Institute of Technology (United States) and Grigorios Tsagkatakis, Foundation for Research and Technology (FORTH) (Greece)
8:45 – 10:10 AM
IMAWM Room

This session is jointly sponsored by: Food and Agricultural Imaging Systems 2020, and Imaging and Multimedia Analytics in a Web and Mobile World 2020.


8:45
Conference Welcome

8:50IMAWM-084
A new training model for object detection in aerial images, Geng Yang1, Yu Geng2, Qin Li1, Jane You3, and Mingpeng Cai1; 1Shenzhen Institute of Information Technology, 2Shenzhen Shangda Xinzhi Information Technology Co., Ltd. (China), and 3The Hong Kong Polytechnic University (Hong Kong)

9:10IMAWM-085
Small object bird detection in infrared drone videos using mask R-CNN deep learning, Yasmin Kassim1, Michael Byrne1, Cristy Burch2, Kevin Mote2, Jason Hardin2, and Kannappan Palaniappan1; 1University of Missouri and 2Texas Parks and Wildlife (United States)

9:30IMAWM-086
High-quality multispectral image generation using conditional GANs, Ayush Soni, Alexander Loui, Scott Brown, and Carl Salvaggio, Rochester Institute of Technology (United States)

9:50IMAWM-087
Deep RAM: Deep neural network architecture for oil/gas pipeline right-of-way automated monitoring, Ruixu Liu, Theus Aspiras, and Vijayan Asari, University of Dayton (United States)



10:00 AM – 7:30 PM Industry Exhibition - Tuesday

10:10 – 10:30 AM Coffee Break

Drone Imaging II

Session Chairs: Vijayan Asari, University of Dayton (United States) and Grigorios Tsagkatakis, Foundation for Research and Technology (FORTH) (Greece)
10:30 – 10:50 AM
IMAWM Room

This session is jointly sponsored by: Food and Agricultural Imaging Systems 2020, and Imaging and Multimedia Analytics in a Web and Mobile World 2020.


IMAWM-114
LambdaNet: A fully convolutional architecture for directional change detection, Bryan Blakeslee and Andreas Savakis, Rochester Institute of Technology (United States)



KEYNOTE: Remote Sensing in Agriculture I

Session Chairs: Vijayan Asari, University of Dayton (United States) and Mohammed Yousefhussien, General Electric Global Research (United States)
10:50 – 11:40 AM
IMAWM Room

This session is jointly sponsored by: Food and Agricultural Imaging Systems 2020, and Imaging and Multimedia Analytics in a Web and Mobile World 2020.


FAIS-127
Managing crops across spatial and temporal scales - The roles of UAS and satellite remote sensing, Jan van Aardt, Rochester Institute of Technology (United States)

Jan van Aardt obtained a BSc in forestry (biometry and silviculture specialization) from the University of Stellenbosch, Stellenbosch, South Africa (1996). He completed his MS and PhD in forestry, focused on remote sensing (imaging spectroscopy and light detection and ranging), at the Virginia Polytechnic Institute and State University, Blacksburg, Virginia (2000 and 2004, respectively). This was followed by post-doctoral work at the Katholieke Universiteit Leuven, Belgium, and a stint as research group leader at the Council for Scientific and Industrial Research, South Africa. Imaging spectroscopy and structural (lidar) sensing of natural resources form the core of his efforts, which vary between vegetation structural and system state (physiology) assessment. He has received funding from NSF, NASA, Google, and USDA, among others, and has published more than 70 peer-reviewed papers and more than 90 conference contributions. van Aardt is currently a professor in the Chester F. Carlson Center for Imaging Science at the Rochester Institute of Technology, New York.




KEYNOTE: Remote Sensing in Agriculture II

Session Chairs: Vijayan Asari, University of Dayton (United States) and Mohammed Yousefhussien, General Electric Global Research (United States)
11:40 AM – 12:30 PM
IMAWM Room

This session is jointly sponsored by: Food and Agricultural Imaging Systems 2020, and Imaging and Multimedia Analytics in a Web and Mobile World 2020.


FAIS-151
Practical applications and trends for UAV remote sensing in agriculture, Kevin Lang, PrecisionHawk (United States)

Kevin Lang is general manager of PrecisionHawk’s agriculture business (Raleigh, North Carolina). PrecisionHawk is a commercial drone and data company that uses aerial mapping, modeling, and agronomy platform specifically designed for precision agriculture. Lang advises clients on how to capture value from aerial data collection, artificial intelligence, and advanced analytics in addition to delivering implementation programs. Lang holds a BS in mechanical engineering from Clemson University and an MBA from Wake Forest University.


12:30 – 2:00 PM Lunch

2:00 – 3:10 PM PLENARY: Automotive Imaging

3:10 – 3:30 PM Coffee Break

Deep Learning: Multi-Media Analysis

Session Chair: Zhigang Fan, Apple Inc. (United States)
3:30 – 5:40 PM
IMAWM Room

3:30IMAWM-183
Actual usage of AI to generate more interesting printed products (Invited), Birte Stadtlander, Sven Wiegand, and Reiner Fageth, CEWE Stiftung & Co. KGAA (Germany)

4:00IMAWM-184
Deep learning for printed mottle defect grading, Jianhang Chen1, Qian Lin2, and Jan Allebach1; 1Purdue University and 2HP Labs, HP Inc. (United States)

4:20IMAWM-185
A local-global aggregate network for facial landmark localization, Ruiyi Mao1,2, Qian Lin3, and Jan Allebach1; 1Purdue University, 2Apple Inc., and 3HP Labs, HP Inc. (United States)

4:40IMAWM-186
The blessing and the curse of the noise behind facial landmark annotations, Xiaoyu Xiang1, Yang Cheng1, Shaoyuan Xu1, Qian Lin2, and Jan Allebach1; 1Purdue University and 2HP Labs, HP Inc. (United States)

5:00IMAWM-187
Gun source and muzzle head detection, Zhong Zhou, Isak Czeresnia Etinger, Florian Metze, Alexander Hauptmann, and Alex Waibel, Carnegie Mellon University (United States)

5:20IMAWM-188
Semi-supervised multi-task network for image aesthetic assessment, Xiaoyu Xiang1, Yang Cheng1, Jianhang Chen1, Qian Lin2, and Jan Allebach1; 1Purdue University and 2HP Labs, HP Inc. (United States)



5:30 – 7:30 PM Symposium Demonstration Session

Wednesday January 29, 2020

KEYNOTE: Personal Health Data and Surveillance

Session Chair: Jan Allebach, Purdue University (United States)
9:10 – 10:10 AM
IMAWM Room

IMAWM-211
Health surveillance, Ramesh Jain, University of California, Irvine (United States)

Ramesh Jain is a scientist and entrepreneur in the field of information and computer science. He is a Bren Professor in Information & Computer Sciences, Donald Bren School of Information and Computer Sciences, University of California, Irvine. He served as a professor of computer science and engineering at the University of Michigan, Ann Arbor and the University of California, San Diego; in each case he founded and directed artificial intelligence and visual information systems labs. He served as Farmer Professor at Georgia Tech from 2002-2004. In 2005 he was named the first Bren Professor in Information and Computer Science for the Donald Bren School of Information and Computer Sciences, University of California, Irvine. His research interests started in cybernetic systems. That interest brought him to research in pattern recognition, computer vision. and artificial intelligence. He was the coauthor of the first computer vision paper addressing analysis of real video sequence of a traffic scene. After working on several aspects of computer vision systems and coauthoring a text book in machine vision, he realized that to solve hard computer vision problem one must include all other available information from other signals and contextual sources. This realization resulted in his becoming active in developing multimedia computing systems. His contributions to developing visual information management systems influenced many researchers. He also participated in developing concept of immersive as well as multiple perspective interactive videos, to use multiple video cameras to build three dimensional video where a person can decide what they want to experience. His research in multimedia computing convinced him that experiences are central to human knowledge acquisition and use, resulting in his interest in 'experiential computing'. Since 2012, he has been engaged in developing a navigational approach to guide people in their lifestyle for achieving their personal health goals. He founded or co-founded multiple startup companies including Imageware, Virage, Praja, and Seraja. Virage is considered the first company to address photo and video management applications that have become central to human experience in digital world. He has served as chairman of ACM SIG Multimedia. He is commonly referred to as the 'Father of Multimedia Computing'. He was the founding Editor-in-Chief of IEEE MultiMedia magazine and the Machine Vision and Applications journal. He still serves on the editorial boards of several journals. He has been elected a Fellow of the Association for Computing Machinery (ACM), the Institute of Electrical and Electronics Engineers (IEEE), the International Association for Pattern Recognition (IAPR), the Association for the Advancement of Artificial Intelligence (AAAI), American Association for Advancement of Science (AAAS), and the Society for Optics and Photonics Technology (SPIE). He has published over 400 research papers in scientific journals and conferences. Jain holds a bachelor's degree from Visvesvaraya National Institute of Technology, Nagpur, India and has a PhD from Indian Institute of Technology, Kharagpur, India.




10:00 AM – 3:30 PM Industry Exhibition - Wednesday

10:10 – 10:30 AM Coffee Break

Augmented Reality in Built Environments

Session Chairs: Raja Bala, PARC (United States) and Matthew Shreve, Palo Alto Research Center (United States)
10:30 AM – 12:40 PM
IMAWM Room

This session is jointly sponsored by: The Engineering Reality of Virtual Reality 2020, and Imaging and Multimedia Analytics in a Web and Mobile World 2020.


10:30IMAWM-220
Augmented reality assistants for enterprise, Matthew Shreve and Shiwali Mohan, Palo Alto Research Center (United States)

11:00IMAWM-221
Extra FAT: A photorealistic dataset for 6D object pose estimation, Jianhang Chen1, Daniel Mas Montserrat1, Qian Lin2, Edward Delp1, and Jan Allebach1; 1Purdue University and 2HP Labs, HP Inc. (United States)

11:20IMAWM-222
Space and media: Augmented reality in urban environments, Luisa Caldas, University of California, Berkeley (United States)

12:00ERVR-223
Active shooter response training environment for a building evacuation in a collaborative virtual environment, Sharad Sharma and Sri Teja Bodempudi, Bowie State University (United States)

12:20ERVR-224
Identifying anomalous behavior in a building using HoloLens for emergency response, Sharad Sharma and Sri Teja Bodempudi, Bowie State University (United States)



12:40 – 2:00 PM Lunch

2:00 – 3:10 PM PLENARY: VR/AR Future Technology

3:10 – 3:30 PM Coffee Break

Deep Learning: Applications

Session Chair: Reiner Fageth, CEWE Stiftung & Co. KGAA (Germany)
3:30 – 4:30 PM
IMAWM Room

3:30IMAWM-269
Identification of utility images with a mobile device, Karthick Shankar1, Qian Lin2, and Jan Allebach1; 1Purdue University and 2HP Labs, HP Inc. (United States)

3:50IMAWM-270
PSO and genetic modeling of deep features for road passibility analysis during floods, Naina Said1, Aysha Nayab1, Kashif Ahmad2, Muhib Ullah3, Touqir Gohar1, and Ala Al-fuqaha2; 1University of Engineering and Technology, Peshawar (Pakistan), 2Hamad Bin Khallifa University (Qatar), and 3Norwegian University of Science and Technology (Norway)

4:10IMAWM-271
A deep neural network-based indoor positioning algorithm by cascade of image and WiFi, Jichao Jiao1, Xing Wang2, Yaxin Zhao1, Xinping Chen1, Meng Guan1, and Wei Cui1; 1Beijing University of Posts and Telecommunications and 2XMotors (China)



Food and Computer Vision

Session Chair: Qian Lin, HP Labs, HP Inc. (United States)
4:30 – 5:30 PM
IMAWM Room

4:30IMAWM-300
Shazam for food: Learning diet with visual data (Invited), Fengqing Zhu, Sri Kalyan Yarlagadda, Runyu Mao, Zeman Shao, and Jiangpeng He, Purdue University (United States)

4:50IMAWM-301
Visual processing of dietary data: A nutrition science perspective, Heather Eicher-Miller, Marah Aqeel, and Luotao Lin, Purdue University (United States)

5:10IMAWM-302
Image analytics for food safety, Min Zhao, Susana Diaz-Amaya, Amanda J. Deering, Lia Stanciu, George Chiu, and Jan Allebach, Purdue University (United States)



Imaging and Multimedia Analytics in a Web and Mobile World 2020 Interactive Papers Session

5:30 – 7:00 PM
POSTER Space

The following work will be presented at the EI 2020 Symposium Interactive Papers Session.


IMAWM-309
Real-time whiteboard coding on mobile devices, Xunyu Pan, Frostburg State University (United States)



5:30 – 7:00 PM EI 2020 Symposium Interactive Posters Session

5:30 – 7:00 PM Meet the Future: A Showcase of Student and Young Professionals Research

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Important Dates
Call for Papers Announced 1 April 2019
Journal-first Submissions Due 15 Jul 2019
Abstract Submission Site Opens 1 May 2019
Review Abstracts Due (refer to For Authors page
· Early Decision Ends 15 Jul 2019
· Regular Submission Ends 30 Sept 2019
· Extended Submission Ends 14 Oct 2019
 Final Manuscript Deadlines  
 · Manuscripts for Fast Track 25 Nov 2019
 · All Manuscripts 10 Feb 2020
Registration Opens 5 Nov 2019
Early Registration Ends 7 Jan 2019
Hotel Reservation Deadline 6  Jan 2020
Conference Begins 26 Jan 2020


 
View 2019 Proceedings
View 2018 Proceedings
View 2017 Proceedings
View 2016 Proceedings

Conference Chairs
Jan Allebach, Purdue University (United States); Zhigang Fan, Apple Inc. (United States); Qian Lin, HP Inc. (United States)

Program Committee
Vijayan Asari, University of Dayton (United States); Raja Bala, PARC (United States); Reiner Fageth, CEWE Stiftung & Co. KGaA (Germany); Michael Gormish, Ricoh Innovations, Inc. (United States); Yandong Guo, XMotors (United States); Ramakrishna Kakarala, Picartio Inc (United States); Yang Lei, HP Labs (United States); Xiaofan Lin, A9.COM, Inc. (United States); Changsong Liu, Tsinghua University (China); Yucheng Liu, Facebook Inc. (United States); Binu Nair, United Technologies Research Center (United States); Mu Qiao, Shutterfly, Inc. (United States); Alastair Reed, Digimarc Corporation (United States); Andreas Savakis, Rochester Institute of Technology (United States); Bin Shen, Google Inc. (United States); Wiley Wang, June Life, Inc. (United States); Jane You, The Hong Kong Polytechnic University (Hong Kong, China); Tianli Yu, Morpx Inc. (China)