Imaging and Multimedia Analytics in a Web and Mobile World 2017 Conference Program
Wednesday February 1, 2017
KEYNOTE: Web Scale Multimedia Analysis I
Session Chair: Jan Allebach, Purdue University (United States)
9:10 – 10:10 AM
Cypress A
IMAWM-157
The internet on things: Delivering augmented reality experiences in context, Michael Gormish, Blippar (United States)
 Michael Gormish is Principal Scientist at Blippar on the infrastructure team working on image retrieval and multiple computer vision products. Gormish is an image processing and computer vision scientist and engineer who invented algorithms used in products including video games, digital cinema, satellite and medical image acquisition and transport. He earned a PhD in electrical engineering dealing with image and data compression from Stanford University. In his twenty year career at Ricoh, he led several aspects of the JPEG 2000 standardization and provided key inventions used in photocopiers, digital cameras, tablets and imaging services. He was awarded the status of Ricoh Patent Master for being a co-inventor on more than 100 US patents. He has served the research community as an Associate Editor of the IEEE Signal Processing Magazine, Associate Editor of the Journal of Electronic Imaging, Program Chair of the Document Engineering Conference, and technical committee member and reviewer for numerous conferences and journals. Currently he is interested changing the world via mobile image understanding. |
10:00 AM – 4:00 PM Industry Exhibition
10:10 – 10:50 AM Coffee Break
Web Scale Multimedia Analysis II
Session Chair:
Binu Nair, University of Dayton Research Institute (United States)
10:50 AM – 12:30 PM
Cypress A
10:50IMAWM-158
MS-Celeb-1M: A review of large-scale face recognition (Invited), Yandong Guo and Lei Zhang, Microsoft Research (United States)
11:30IMAWM-159
Evaluation of Hadoop and HPCC for multimedia big data analysis, Vishnu Chinta, Hari Kalva, and Borko Furht, Florida Atlantic University (United States)
11:50IMAWM-160
Creating the world's largest real-time camera network, Ryan Dailey, Shengli Sui, Chan Wengyan, Thomas Norling, Sanghyun Joo, and Yung-Hsiang Lu, Purdue University (United States)
12:10IMAWM-161
Multimedia instant messaging with real-time attribute-based encryption, Xunyu Pan and Christopher Gill, Frostburg State University (United States)
12:30 – 2:00 PM Lunch Break
EI 2017 Wednesday Plenary and Symposium Awards
Session Chairs: Joyce E. Farrell, Stanford University, and Nitin Sampat, Rochester Institute of Technology (United States)
2:00 – 3:00 PM
Grand Peninsula Ballroom D
Designing VR video camera systems, Brian Cabral, Facebook, Inc. (United States)
Brian Cabral is Director of Engineering at Facebook, leading the Surround 360 VR camera team, specializing in computational photography, computer vision, and computer graphics. He has published a number of papers in the area of computer graphics and imaging including the pioneering Line Integral Convolution algorithm. Cabral discusses developing Facebook Surround 360, an open, high-quality 3D-360 video capture system. VR video capture systems are composed of multiple optical and digital components - all of which must operate as if they are one seamless optical system. The design of VR video cameras, optical choices, SNR, etc., require a new set of technologies and engineering approaches, with tight coupling to the computational system components.
3:00 – 3:30 PM Coffee Break
Deep Learning
Session Chair:
Zhigang Fan, Apple Inc. (United States)
3:30 – 4:50 PM
Cypress A
3:30IMAWM-162
Distracted driver detection: Deep learning vs handcrafted features, Murtadha Hssayeni, Sagar Saxena, Raymond Ptucha, and Andreas Savakis, Rochester Institute of Technology (United States)
3:50IMAWM-163
Logo recognition using data augmentation techniques, Daniel Mas Montserrat1, Qian Lin2, Jan Allebach1, and Edward Delp1; 1Purdue University and 2HP Labs, HP Inc. (United States)
4:10IMAWM-164
Detection and characterization of Coordinate Measuring Machine (CMM) probes using deep networks for improved quality assurance of machine parts, Binu Nair1, Vidur Prasad2, and Nilesh Powar1; 1University of Dayton Research Institute and 2University of Michigan (United States)
4:30IMAWM-165
Robust head detection with CNN, Ming Chen1, Qian Lin2, Fengqing Zhu1, and Jan Allebach1; 1Purdue University and 2HP Labs, HP Inc. (United States)
5:30 – 7:00 PM Symposium Interactive Papers (Poster) Session, Atrium
5:30 – 7:00 PM Meet the Future: A Showcase of Student and Young Professionals Research, Atrium
Thursday February 2, 2017
Multimedia Analysis
Session Chair:
Reiner Fageth, CEWE Stiftung & Co. KGAA (Germany)
8:50 – 10:30 AM
Cypress A
8:50IMAWM-166
Analytics for body worn cameras (Invited), Quanfu Fan, Thomas J. Watson Research Center (United States)
9:30IMAWM-167
Click-based interactive segmentation with graph cut, Chun-Jung Tai1, Tongyang Liu1, Judy Bagchi2, Fengqing Zhu1, and Jan Allebach1; 1Purdue University and 2DzineSteps (United States)
9:50IMAWM-168
Drone Detection by acoustic signature identification, Andrea Bernardini, Federica Mangiatordi, Emiliano Pallotti, and Licia Capodiferro, Fondazione Ugo Bordoni (Italy)
10:10IMAWM-169
Aesthetics of fashion photographs: Effect on user preferences, Zhi Li1, Shuheng Lin1, Yang Cheng1, Gautam Golwala2, Sathya Sundaram2, and Jan Allebach1; 1Purdue University and 2Poshmark Inc. (United States)
10:30 – 10:50 AM Coffee Break
Face / Body Detection and Recognition
Session Chair:
Andreas Savakis, Rochester Institute of Technology (United States)
10:50 AM – 12:10 PM
Cypress A
10:50IMAWM-170
Local boosted features for illumination invariant face recognition, Almabrok Essa and Vijayan Asari, University of Dayton (United States)
11:10IMAWM-171
High precision 3D reconstruction of the human face, Michael Wang, Daran He, Frankie Li, Wiley Wang, and Sergey Surkov, Ditto Technologies (United States)
11:30IMAWM-172
Chromatic domain phase features with gradient and texture for efficient human detection, Hussin Ragb, University of Dayton (United States)
11:50IMAWM-173
A real-time smile elegance detection system: A feature-level fusion and ranking SVM based approach, Lili Lin1, Yiwen Zhang1, Weini Zhang1, Xinxin Liu1, Yan Yan1, and Tianli Yu2; 1Department of Computer Science, Xiamen University (China) and 2 Independent Consultant (United States)
12:10 – 2:00 PM Lunch Break
Analytics for Mobile Applications
Session Chair:
Qian Lin, HP Labs, HP Inc. (United States)
2:00 – 3:00 PM
Cypress A
2:00IMAWM-174
MU, the ultra mobile visual analytic sensor for toys and IOTs, Tianli Yu, Morpx Inc. (United States)
2:20IMAWM-176
Are mobile phones changing the order behavior and content for printed photo products?, Reiner Fageth, CEWE Stiftung & Co. KGAA (Germany)
2:40IMAWM-177
Texture re-rendering tool for re-mixing indoor scene images, Tongyang Liu1, Chun-Jung Tai1, Fengqing Zhu1, Judy Bagchi2, and Jan Allebach1; 1Purdue University and 2DzineSteps (United States)
3:00 – 3:30 PM Coffee Break