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[dbjapan] 【締切延長】論文募集： IEEE MIPR 2022（3月28日締切）
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- Subject: [dbjapan] 【締切延長】論文募集： IEEE MIPR 2022（3月28日締切）
- From: "Miyamori, Hisashi" <miya [at] cse.kyoto-su.ac.jp>
- Date: Wed, 2 Mar 2022 23:50:57 +0900
- Reply-to: miya [at] cc.kyoto-su.ac.jp
日本データベース学会の皆様
京都産業大学の宮森です．
昨年東京でオンライン開催されました標記の国際会議の論文投稿締切が
約4週間延長されました（締切：3/28(月) ）．
奮ってご投稿ください．
[Please accept our apologies if you receive multiple copies]
----------------------------------------------------------------------
Call for Papers
The Fifth (2022) IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR'22): Extended Deadline March 28, 2022
http://www.ieee-mipr.org
Taking Place Virtually
August 2 ~ August 4, 2022
MIPR 2022 highlights
Keynote Speakers
* Philip S. Yu, Professor, University of Illinois Chicago
* Jian Pei, Professor, Simon Fraser University
* Shih-Fu Chang, Professor, Columbia University
Innovation Forums
* The Future Trending of Metaverse
Moderator: Shuxue Quan, Oppo
* Hardware and Software Acceleration for AI Applications
Moderator: Xin Chen, Intel
* The Future of Media Compression: Deep Learning Approaches
Moderator: Dong Liu, University of Science and Technology of China
* Computer Vision
Moderator: Zhou Ren, Wormpex AI Research
======================================================================
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, tutorials, and workshops will be held, together with paper/poster sessions. In addition, MIPR 2022 Innovation Forum invites leaders in multimedia society to discuss the topics covering video compression, AI acceleration, metaverse, and Computer Vision.
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
* Novel Dataset for Learning and Multimedia
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
Networks for Multimedia Systems
* Internet Scale System Design
* Information Coding for Content Delivery
Systems and Infrastructures
* Multimedia Systems and Middleware
* 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
Internet of Multimedia Things
* Real-Time Data Processing
* Autonomous Systems such as Driverless Cars, Robots, and Drones
* Mobile and Wearable Multimedia
* IEEE Technical Committee on Multimedia Computing (TCMC) will sponsor 5-6 student registration scholarships. Preference will be given to student authors
Important Dates:
* Regular and Short Paper Submission: March 28, 2022
* Notification of acceptance: May 10, 2022
* Camera ready due: July 1, 2022
* Conference Date: August 2 ? 4, 2022
General Co-Chairs:
* C.-C. Jay Kuo (University of Southern California, USA)
* Klara Nahrstedt (University of Illinois at Urbana?Champaign, USA)
* Yong Rui (Lenovo Group, China)
* Guan-Ming Su (Dolby Labs, USA)
Program Co-Chairs:
* Ming-Ching Chang (State University of New York at Albany, USA)
* Abdulmotaleb El Saddik (University of Ottawa, Canada)
* Yan Tong (University of South Carolina, USA)
* Bihan Wen (Nanyang Technological University, Singapore)
----------------------------------------------------------------------
昨年東京でオンライン開催されました標記の国際会議の論文投稿締切が
約4週間延長されました（締切：3/28(月) ）．
奮ってご投稿ください．
[Please accept our apologies if you receive multiple copies]
----------------------------------------------------------------------
Call for Papers
The Fifth (2022) IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR'22): Extended Deadline March 28, 2022
http://www.ieee-mipr.org
Taking Place Virtually
August 2 ~ August 4, 2022
MIPR 2022 highlights
Keynote Speakers
* Philip S. Yu, Professor, University of Illinois Chicago
* Jian Pei, Professor, Simon Fraser University
* Shih-Fu Chang, Professor, Columbia University
Innovation Forums
* The Future Trending of Metaverse
Moderator: Shuxue Quan, Oppo
* Hardware and Software Acceleration for AI Applications
Moderator: Xin Chen, Intel
* The Future of Media Compression: Deep Learning Approaches
Moderator: Dong Liu, University of Science and Technology of China
* Computer Vision
Moderator: Zhou Ren, Wormpex AI Research
======================================================================
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, tutorials, and workshops will be held, together with paper/poster sessions. In addition, MIPR 2022 Innovation Forum invites leaders in multimedia society to discuss the topics covering video compression, AI acceleration, metaverse, and Computer Vision.
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
* Novel Dataset for Learning and Multimedia
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
Networks for Multimedia Systems
* Internet Scale System Design
* Information Coding for Content Delivery
Systems and Infrastructures
* Multimedia Systems and Middleware
* 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
Internet of Multimedia Things
* Real-Time Data Processing
* Autonomous Systems such as Driverless Cars, Robots, and Drones
* Mobile and Wearable Multimedia
* IEEE Technical Committee on Multimedia Computing (TCMC) will sponsor 5-6 student registration scholarships. Preference will be given to student authors
Important Dates:
* Regular and Short Paper Submission: March 28, 2022
* Notification of acceptance: May 10, 2022
* Camera ready due: July 1, 2022
* Conference Date: August 2 ? 4, 2022
General Co-Chairs:
* C.-C. Jay Kuo (University of Southern California, USA)
* Klara Nahrstedt (University of Illinois at Urbana?Champaign, USA)
* Yong Rui (Lenovo Group, China)
* Guan-Ming Su (Dolby Labs, USA)
Program Co-Chairs:
* Ming-Ching Chang (State University of New York at Albany, USA)
* Abdulmotaleb El Saddik (University of Ottawa, Canada)
* Yan Tong (University of South Carolina, USA)
* Bihan Wen (Nanyang Technological University, Singapore)
----------------------------------------------------------------------
Hisashi Miyamori <miya [at] cc.kyoto-su.ac.jp>
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