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MIPR 2019 : The Second (2019) IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR'19)

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Link: http://www.ieee-mipr.org
 
When Mar 28, 2019 - Mar 30, 2019
Where San Jose, CA, USA
Submission Deadline Oct 30, 2018
Notification Due Dec 10, 2018
Final Version Due Jan 20, 2019
Categories    multimedia retrieval   machine learning/deep learning   systems and infrastructures   data management
 

Call For Papers

Deadline Extended Oct 30, 2018

Keynote Speakers
* Ruzena Bajcsy, Professor, University of California, Berkeley
* John Apostolopoulos, CTO/VP of Enterprise Networking Business, Cisco
* Danny Lange, VP of AI, Unity

Innovation Forums
* Next-Generation Video & Display Technology
Moderator: Scott Daly, Dolby Labs
* The Imminent Trends of Video Compression
Moderator: Shan Liu, Tencent
* The Future of NLP/Audio Technology
Moderator: Sunil Bharitkar, HP Labs
* The Latest Advances in Computer Vision & Its Applications
Moderator: Ting Yu, Google
* The State-of-the-art Development of VR/AR
Moderator: Haricharan Lakshman, Dolby Labs
* Towards Autonomous Driving
Moderator: Yu Huang, Singulato

New forms of multimedia data (such as text, numbers, tags, networking, signals, geo-tagged information, graphs/relationships, 3D/VR/AR and sensor data, etc.) has emerged in many applications in addition to traditional multimedia data (image, video, audio). Multimedia has become the biggest of big data as the foundation of today's data-driven discoveries. Almost all disciplines of science and engineering, as well as social sciences, involve multimedia data in some forms, such as recording experiments, driverless cars, unmanned aerial vehicles, smart communities, biomedical instruments, security surveillance. Some recent events demonstrate the power of real-time broadcast of unfolding events on social networks. Multimedia data is not just big in volume, but also multi-modal and mostly unstructured. Storing, indexing, searching, integrating, and recognizing from the vast amounts of data create unprecedented challenges. Even though significant progress has been made processing multimedia data, today's solutions are inadequate in handling data from millions of sources simultaneously.

The IEEE International Conference on Multimedia Information Processing and Retrieval (IEEE-MIPR) aims to provide a forum for original research contributions and practical system design, implementation, and applications of multimedia information processing and retrieval for single modality or multiple modalities. The target audiences will be university researchers, scientists, industry practitioners, software engineers, and graduate students who need to become acquainted with technologies for big data analytics, machine intelligence, information fusion in multimedia information processing and retrieval. A collection of keynotes, and workshops will be held, together with paper/poster sessions. In addition, MIPR 2019 Innovation Forum invites leaders in multimedia society to discuss the topics covering video compression, display Technology, NLP/Audio Technology, Computer Vision, AR/VR, and Autonomous Driving.

The conference will accept regular papers (6 pages), short papers (4 pages), and demo papers (4 pages). Authors are encouraged to compare their approaches, qualitatively or quantitatively, with existing work and explain the strength and weakness of the new approaches. Selected submissions will be invited to submit to journal special issues.

The conference includes (but not limited) the following topics of multimedia data processing and retrieval.

Multimedia Retrieval
* Multimedia Search and Recommendation
* Web-Scale Retrieval
* Relevance Feedback, Active/Transfer Learning
* 3D and sensor data retrieval
* Multimodal Media (images, videos, texts, graph/relationship) Retrieval
* High-Level Semantic Multimedia Features

Machine Learning/Deep Learning/Data Mining
* Deep Learning in Multimedia Data and / or Multimodal Fusion
* Deep Cross-Learning for Novel Features and Feature Selection
* High-Performance Deep Learning (Theories and Infrastructures)
* Spatio-Temporal Data Mining

Content Understanding and Analytics
* Multimodal/Multisensor Integration and Analysis
* Effective and Scalable Solution for Big Data Integration
* Affective and Perceptual Multimedia
* Multimedia/Multimodal Interaction Interfaces with humans

Multimedia and Vision
* Multimedia Telepresence and Virtual/Augmented/Mixed Reality
* Visual Concept Detection
* Object Detection and Tracking
* 3D Modeling, Reconstruction, and Interactive Applications

Systems and Infrastructures
* Multimedia Systems and Middleware
* Telepresence and Virtual/Augmented/Mixed Reality
* Software Infrastructure for Data Analytics
* Distributed Multimedia Systems and Cloud Computing

Data Management
* Multimedia Data Collections, Modeling, Indexing, or Storage
* Data Integrity, Security, Protection, Privacy
* Standards and Policies for Data Management

Novel Applications
* Multimedia applications for health and sports
* Multimedia applications for culture and education
* Multimedia applications for fashion and living
* Multimedia applications for security and safety
* Any other novel applications

Internet of Multimedia Things
* Real-Time Data Processing
* Autonomous Systems such as Driverless Cars, Robots, and Drones
* Mobile and Wearable Multimedia

Important Dates:
===============
* Workshop proposals: September 30, 2018
* Workshop notification: October 20, 2018
* Regular (6 pages) and Short Paper (4 pages) Submission: October 30, 2018
* Notification of acceptance: December 10, 2018
* Demo Papers submission: December 20, 2018
* Camera ready and Author registration: January 20, 2019

General Co-Chairs:
===============
Mohan Kankanhalli, National University of Singapore, Singapore
Rainer Lienhart, Universit?t Augsburg, Germany
Chengcui Zhang, University of Alabama, USA

Program Co-Chairs:
===============
Min Chen, University of Washington, USA
Leonel Sousa, Universidade de Lisboa, Portugal
Guan-Ming Su, Dolby Labs, USA
Yonghong Tian, Peking University, China

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