[dbjapan] Re: 【論文募集】IEEE MIPR 2022（2月28日締切）

["Miyamori, Hisashi" <miya [at] cse.kyoto-su.ac.jp>]

日本データベース学会の皆様

たびたび申し訳ございません．
提題の件，投稿締切の曜日に誤りがありましたので訂正させていただきます．

誤）2月28日(金)
正）2月28日(月)

宮森 恒

2022年1月20日(木) 10:07 Miyamori, Hisashi <miya [at] cse.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投稿案内をお送りします．
投稿締切は2月28日(金)で，あと１ヶ月ほどございます．奮ってご投稿ください．

[Please accept our apologies if you receive multiple copies]
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Call for Papers

5th IEEE Int. Conf. on Multimedia Information Processing and Retrieval
(MIPR'22)

August 2-4, 2022 @ Virtual

http://www.ieee-mipr.org/
======================================================================

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
urveillance.  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.

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

[Important Dates]
* Regular and Short Paper Submission: February 28, 2022
* Notification of acceptance: May 10, 2022
* Camera ready due: July 1, 2022  
* Conference Date: August 2 ? 4, 2022

[Organization]
- General Co-Chairs
* C.-C. Jay Kuo (Univ. of Southern California, USA)
* Klara Nahrstedt (Univ. of Illinois at Urbana-Champaign, USA)
* Yong Rui (Lenovo Group, China)
* Guan-Ming Su (Dolby Labs, USA)

- Program Co-Chairs
* Ming-Ching Chang (State Univ. of New York at Albany, USA)
* Abdulmotaleb El Saddik (Univ. of Ottawa, Canada)
* Yan Tong (Univ. of South Carolina, USA)
* Bihan Wen (Nanyang Technological Univ., Singapore)
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Hisashi Miyamori <miya [at] cc.kyoto-su.ac.jp>

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Hisashi Miyamori <miya [at] cc.kyoto-su.ac.jp>