IMPORTANT DATES

2020
 Abstract submission opens
1 June
 Registration opens 1 Oct
 Final submission deadline 7 Oct
 Manuscripts due for FastTrack
 publication
23 Nov


2021
 Early registration ends 4 Jan
 Short Courses begin
11 Jan
 Symposium begins
18 Jan
 All manuscripts due
8 Feb

Imaging and Multimedia Analytics in a Web and Mobile World 2021

Conference keywords: multimedia analysis, machine learning, mobile, imaging, web

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ATTENTION: We're pleased to announce that EI 2021 will be fully online! We recognize that one of the most important features of attending EI is interacting with colleagues from Industry and Academia. We are committed to making community connection a priority and to providing ample opportunities to meet and discuss personally with others. We see the move to an online platform as an opportunity for greater numbers of people to join from around the world. Join us on this exciting adventure . . . submit your work today!

Conference Overview

Recent progress at the intersection of deep learning and imaging has created a new wave of interest in imaging and multimedia analytics topics, from social media sharing to augmented reality, from food and nutrition to health surveillance, from remote sensing and agriculture to wildlife and environment monitoring. Compared to many subjects in traditional imaging, these topics are more multi-disciplinary in nature. This conference will provide a forum for researchers and engineers from various related areas, both academic and industrial, to exchange ideas and share research results in this rapidly evolving field.

2021 Conference Topics

Image, video, and multimedia analytics

deep learning with web and social media data sources; object tracking; face detection and recognition; human detection and tracking; event detection; anomaly detection; object recognition; gesture analysis; depth information for object recognition; speech and audio understanding; content analysis, indexing, search, and retrieval

Imaging in social networks

web-based testing and ground-truth data collection (crowd-sourcing); social media content creation, modeling, manipulation, content analysis, information extraction, storage, search, learning and mining; privacy and copyright issues, provenance tracking, privacy, copyright, security, authentication, and verification

Mobile computing, services, and applications

mobile and location-based search, sharing, indexing, and retrieval to cloud-based repositories; mobile augmented reality; mobile and location-based computational photography; mobile content transformation; mobile apps and web services

Imaging for healthcare

mobile imaging sensors for medical measurement; image and video processing for healthcare applications such as dietary monitoring; mobile tools for accessing and updating patient data; remote and field-based diagnosis; diagnostic collaboration among experts

Internet of Things

imaging sensor processing for smart home and smart office applications; ambient intelligence; activity recognition; occupancy-based environment control; monitoring and diagnostics for home appliances and HVAC systems; intelligent agents to assist with household chores, such as monitoring inventory of groceries and ordering replacements

Imaging for photo services

image and video analysis; page composition; metadata extraction and tagging; organization and search; creation and sharing on smartphones and social networks; image resizing and image in-painting; photo to art; color harmony and balance

Image aesthetics

aesthetics ranking; understanding of metrics for aesthetics ranking; active photography; data mining from online photos; autonomous extraction of photo metadata

Applications

online shopping, mobile health and beauty care, agricultural and environmental monitoring on mobile platforms, online photo services

2021 Special Sessions

TBA

Awards

Best Paper Award

Past winners

2020 Bryan Blakeslee and Andreas Savakis (Rochester Institute of Technology) for their work on  "LambdaNet: A fully convolutional architecture for directional change detection."
2019 Song Guo, Fei Li, Hajime Nada, Hidetsugu Uchida, Tomoaki Matsunami, and Narishige Abe (Fujitsu Research & Development Center Co., Ltd. and Fujitsu Laboratories Ltd.) for their work titled "Face alignment via 3D-assisted features."
2018 Dong Hye Ye, Jing Li, Qiulin Chen, Juan Wachs, and Charles Bouman (Purdue University) for their work on  "Deep learning for moving object detection and tracking from a single camera in unmanned aerial vehicles (UAVs) ."

2021 Committee

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, Clarifai (United States)
Yandong Guo, OPPO Research Institute (United States)
Ramakrishna Kakarala, OmniVision Technologies, 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)
Jochen Meyer, OFFIS Institute for Information Technology (Germany)
Binu Nair, United Technologies Research Center (United States)
Mu Qiao, Lime (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)
Fengqing Zhu, Purdue University (United States)

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