データベースな皆さま
# 重複して受け取られた場合はご容赦ください
筑波大学の吉田です,こんにちは。
計算社会科学会では,2024年12月にハイブリッド(現地はワシントンD.C.)で開催されるIEEE BigData
2024において,計算社会科学(Computational Social Science)に関するワークショップを企画しています。
このワークショップでは,大規模社会データ分析研究,社会シミュレーションによる理論的研究,バーチャルラボ(ウェブを使った大規模行動実験)による実験的研究,ソーシャルメディア分析などを使い,人間行動や社会現象を理解することを目指した研究論文を募集します。
論文はIEEE国際会議フォーマットで最大10ページを受け付け,採録された論文はIEEE Xploreに掲載される見込みです。
論文の締切は,当初より延長し,2024年10月15日です。多数のご投稿をお待ちしています。
https://css-japan.com/abcss2024/http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=182584
======================================
The 9th International Workshop on Application of Big Data for
Computational Social Science (ABCSS2024 @ IEEE BigData 2024)
(IEEE BigData 2024 Workshop)
https://css-japan.com/abcss2024/
======================================
Despite the progress of traditional social science, modern social
science is facing a serious paradigm shift due to the development of
computer and Internet technologies. Human behavior and social
phenomena is possible to be quantified by big data digitally tracing
online activities and mobility records at a granular level. In some
cases, big data can be analyzed using technologies evolving in the
natural sciences, such as physics, chemistry, and biology.
Experimental data and multiple results from theoretical and
computational simulations complement them. Both theoretically and
analytically grounded insights may open new doors of computational
social sciences. From this perspective, we hold a series of annual
workshops on application of big data for computational social science
for several years. The scope of the workshop includes, but is not
limited to, big data applications, big data collection and use, an
integrated framework for theory, simulation, statistics, and
experiments.
* DATE & PLACE
December 15-18, 2024. (Hybrid Conference / Washington DC, USA)
In conjunction with the 2024 IEEE International Conference on Big Data
(IEEE BigData 2024)
http://bigdataieee.org/BigData2024/
* RESEARCH TOPICS
- Application of Sociology/Sociophysics using Big Data
- Application of Econometric/Econophysics using Big Data
- Social Media Data analyses from economic/political/social perspective
- Informatics using social Big Data
- Marketing science using social Big Data
- Business analytics using Big Data on consumer behavior
- Culturomics and art management
- Analysis of reputation of entertainment using Big Data
* IMPORTANT DATES
- October 15, 2024 (Extended!!)
Workshop Papers submission
- November 4, 2024
Notification of Acceptance/Rejection
- November 20, 2024
Camera-ready Submission
* SUBMISSION
We accept papers of up to 10 pages (6 to 8 pages are recommended).
Submitted papers will undergo a peer review process, coordinated by
the Program Committee Members of our workshop.
https://bit.ly/abcss2024submission
Submitted papers should be formatted to the IEEE Conference
Proceedings format (see link to below).
https://www.ieee.org/conferences/publishing/templates.html
All registered papers that presented in this workshop will be
submitted to IEEE Xplore with main conference papers, and will be
submitted into some indexing system such as Web of Science, Scopus,
DBLP and others.
Main Chairs
- Fujio Toriumi, The University of Tokyo, Informatics
- Isamu Okada, Soka University, Informatics
- Hiroki Takikawa, The University of Tokyo, Sociology
- Mitsuo Yoshida, University of Tsukuba, Informatics
Drop us an email at abcss [at] css-japan.com if you have any questions.
--
Mitsuo Yoshida < mitsuo(a)gssm.otsuka.tsukuba.ac.jp >
Institute of Business Sciences,
University of Tsukuba
https://www.gssm.otsuka.tsukuba.ac.jp/~mitsuo/
MLの皆様
*重複して受け取られた場合はご容赦ください/Apologies for cross-posting*
北見工業大学のプタシンスキと申します.
現在,Information Processing&Management(IP&M)(IF:7.4)ジャーナルにて「Special Issue on Causal Reasoning in Language Models」(言語モデルにおける因果推論)という特集号のため論文募集を行っております.
原稿の提出締め切りは2025年3月31日ですが,論文は投稿後すぐに査読に送られ,採択された場合すぐに公開となります.
論文の投稿をどうぞご検討ください。
https://www.sciencedirect.com/journal/information-processing-and-management…
どうぞよろしくお願いいたします.
ミハウ・プタシンスキ(博士/情報科学,准教授)
テキスト情報処理研究室 北見工業大学
〒090-8507 北見市公園町165番地
TEL/FAX: 0157-26-9327
michal(a)mail.kitami-it.ac.jp
============================================
Journal: Information Processing & Management (Impact Factor: 7.4)
Special Issue on "Causal Reasoning in Language Models"
Guest Editors:
- Michal Ptaszynski (Kitami Institute of Technology), michal(a)mail.kitami-it.ac.jp
- Rafal Rzepka (Hokkaido University)
- Rafal Urbaniak (University of Ghent)
Introduction:
Causal reasoning is a fundamental cognitive ability that allows humans to understand the cause-and-effect relationships in the world around them. Integrating causal reasoning capabilities into language models has emerged as a promising research direction, with significant implications for natural language processing (NLP) and artificial intelligence (AI) applications. The special issue on "Causal Reasoning in Language Models" aims to provide a platform for researchers to explore the latest advancements and challenges in this burgeoning field.
Topics of Interest:
We invite submissions on a wide range of topics related to causal reasoning in language models, including but not limited to:
- Causal inference techniques in natural language processing
- Evaluating causal understanding in large language models
- Causal representations in transformer architectures
- Counterfactual reasoning capabilities of language models
- Causal discovery from unstructured text data
- Incorporating causal knowledge into language model pre-training
- Causal explanation generation using language models
- Bias and fairness in causal language modeling
- Causal reasoning for improved few-shot and zero-shot learning
- Temporal and event causal reasoning in language models
- Theoretical frameworks for representing causal knowledge in language models
- Methodologies for incorporating causal reasoning into NLP tasks, such as text generation, question answering, and summarization
- Evaluation metrics and benchmarks for assessing the performance of causal reasoning models in language understanding tasks
- Applications of causal reasoning in real-world scenarios, including healthcare, finance, social media analysis, and more
- Ethical considerations and societal implications of integrating causal reasoning into AI systems
- Interdisciplinary approaches that combine insights from linguistics, cognitive science, and computer science to advance causal reasoning in language models
Submission Guidelines:
Papers submitted to this special issue must adhere to the submission guidelines of Information Processing & Management. Manuscripts should be original, unpublished works not currently under review elsewhere. All submissions will undergo a rigorous peer review process to ensure high quality and relevance to the special issue.
Important Dates:
- Submission opens: 2024-7-31
- Submission closes: 2025-3-31
Submission Instructions:
Submit your manuscript to the Special Issue category (VSI: CAUSAL LLMs) through the online submission system of Information Processing & Management (https://www.editorialmanager.com/ipm/default.aspx). All the submissions should follow the general author guidelines of Information Processing & Management (https://www.sciencedirect.com/journal/information-processing-and-management). For any inquiries or further information, please contact the Managing Guest Editor at michal(a)mail.kitami-it.ac.jp.
Conclusion:
We encourage researchers from academia and industry to contribute their latest findings and innovations to this special issue. By bringing together a collection of high-quality papers on causal reasoning in language models, we aim to advance the state of the art in NLP, foster interdisciplinary collaborations, and pave the way for future developments in AI.
We look forward to your contributions.
Sincerely,
Michal Ptaszynski, in the name of all Guest Editors
============================================
日本データベース学会の皆様
早稲田大学の山名です。
JSTでは、以下の国際シンポジウムを開催いたしますので、お時間がございましたら
ご参加いただければ幸いです。
==
2024/9/12(木) 9:25-16:29@日本科学未来館(東京都江東区青海2-3-6)
「Society5.0を支える革新的コンピューティング技術」 国際シンポジウム
https://www.jst.go.jp/kisoken/crest/com-revol/index.html
配信もありますが、ポスター・デモを除きます。
==
本シンポジウムは、坂井先生@東大が領域長を務める
CREST「 「Society5.0を支える革新的コンピューティング技術」 のもと
採択されたCRESTプロジェクトの発表の他、
Intelligent Cyber-Physical Systems: Harnessing AI and ML Innovations for Social Good
Radu Marculescu (Professor, Texas University at Austin)
9:50-10:50
の基調講演があります。
講演者
テキサス大学オースティン校 Radu Marculescu 教授
講演者略歴:
ラドゥ・マルクレスク(Radu Marculescu)教授(IEEEフェロー・ACMフェロー)
テキサス大学オースティン校 電気・コンピュータ工学部 教授 兼 ローラ・ジェニングス・ターナー チェア。
2000年から2019年まで、カーネギーメロン大学 電気・コンピュータ工学部 教授。
現在は、コンピュータビジョン、バイオイメージング、ソーシャルセンシング、およびインターネット・オブ・シングス
(IoT)アプリケーションのためのシステム設計と最適化のためのML/AIアルゴリズムとツールの開発等の
研究を行う。2019年には、ネットワーク・オン・チップの設計、分析、および最適化の科学への重要な
貢献に対してIEEE Computer Society Edward J. McCluskey Technical Achievement Awardを
受賞。最近では、The International Conference on Hardware/Software Co-Design and
System Synthesis (CODES) で、2020年ESWEEK Test-of-Time Awardを受賞。
IEEEフローおよびACMフェロー。
==
早稲田大学 山名早人
日本データベース学会のみなさま
筑波大学の天笠です.お世話になっております.
知識グラフに関する国際会議 ICKG 2024 の論文募集をご案内しま
す.関連する成果をお持ちでご興味があれば,投稿をご検討くださ
い.よろしくお願いいたします.
天笠俊之
The 15th IEEE International Conference on Knowledge Graph (ICKG), December 11-12, Abu Dhabi, UAE
http://ickg2024.openkg.cn
All deadlines are at 11:59PM Pacific Daylight Time.
Paper submission (abstract and full paper): July 31, 2024 (!!!Extended to September 2nd, 2024!!!)
Notification of acceptance/rejection: September 30, 2024
Camera-ready deadline and copyright forms: October 15, 2024
Early Registration Deadline: November 11, 2024
Conference: December 11-12, 2024
The annual IEEE International Conference on Knowledge Graph (ICKG) provides a premier international forum for presentation of original research results in knowledge discovery and graph learning, discussion of opportunities and challenges, as well as exchange and dissemination of innovative, practical development experiences. The conference covers all aspects of knowledge discovery from data, with a strong focus on graph learning and knowledge graph, including algorithms, software, platforms. ICKG 2024 intends to draw researchers and application developers from a wide range of areas such as knowledge engineering, representation learning, big data analytics, statistics, machine learning, pattern recognition, data mining, knowledge visualization, high performance computing, and World Wide Web etc. By promoting novel, high quality research findings, and innovative solutions to address challenges in handling all aspects of learning from data with dependency relationship.All accepted
papers will be published in the conference proceedings by the IEEE Computer Society. Awards, including Best Paper, Best Paper Runner up, Best Student Paper, Best Student Paper Runner up, will be conferred at the conference, with a check and a certificate for each award. The conference also features a survey track to accept survey papers reviewing recent studies in all aspects of knowledge discovery and graph learning. At least five high quality papers will be invited for a special issue of the Knowledge and Information Systems Journal, in an expanded and revised form. In addition, at least eight quality papers will be invited for a special issue of Data Intelligence Journal in an expanded and revised form with at least 30% difference.
Topics of Interest
Topics of interest include, but are not limited to:
Foundations, algorithms, models, and theory of knowledge discovery and graph learning
Knowledge engineering with big data.
Machine learning, data mining, and statistical methods for data science and engineering.
Acquisition, representation and evolution of fragmented knowledge.
Fragmented knowledge modeling and online learning.
Knowledge graphs and knowledge maps.
Graph learning security, privacy, fairness, and trust.
Interpretation, rule, and relationship discovery in graph learning.
Geospatial and temporal knowledge discovery and graph learning.
Ontologies and reasoning.
Topology and fusion on fragmented knowledge.
Visualization, personalization, and recommendation of Knowledge Graph navigation and interaction.
Knowledge Graph systems and platforms, and their efficiency, scalability, and privacy.
Applications and services of knowledge discovery and graph learning in all domains including web, medicine, education, healthcare, and business.
Big knowledge systems and applications.
Crowdsourcing, deep learning and edge computing for graph mining.
Large language models and applications
Open source platforms and systems supporting knowledge and graph learning.
Survey Track
Survey paper reviewing recent study in keep aspects of knowledge discover and graph learning.In addition to the above topics, authors can also select and target the following
Special Track topics.
Each special track is handled by respective special track chairs, and the papers are also included in the conference proceedings.
Special Track 01: KGC and Knowledge Graph Building
Special Track 02: KR and KG Reasoning.
Special Track 03: KG and Large Language Model
Special Track 04: GNN and Graph Learning
Special Track 05: QA and Graph Database
Special Track 06: KG and Multi-modal Learning.
Special Track 07: KG and Knowledge Fusion.
Special Track 08: Industry and Applications
Submission Guidelines
Paper submissions should be no longer than 8 pages, in the IEEE 2-column format, including the bibliography and any possible appendices. Submissions longer than 8 pages will be rejected without review. All submissions will be reviewed by the Program Committee based on technical quality, originality, significance, and clarity. For survey track paper, please preface the descriptive paper title with “Survey:”, followed by the actual paper title. For example, a paper entitled “A Literature Review of Streaming Knowledge Graph”, should be changed as “Survey: A Literature Review of Streaming Knowledge Graph”. This is for the reviewers and chairs to clearly bid and handle the papers. Once the paper is accepted, the word, such as “Survey:”, can be removed from the camera-ready copy.
For special track paper, please preface the descriptive paper title with “SS##:”, where “##” is the two digits special track ID. For example, a paper entitled “Incremental Knowledge Graph Learning”, intended to target Special Track 01 (Machine learning and knowledge graph) should be changed as “SS01: Incremental Knowledge Graph Learning”.
All manuscripts are submitted as full papers and are reviewed based on their scientific merit. The reviewing process is single blind, meaning that each submission should list all authors and affiliations. There is no separate abstract submission step. There are no separate industrial, application, or poster tracks. Manuscripts must be submitted electronically in the online submission system. No email submission is accepted.To help ensure correct formatting, please use the style files for U.S. Letter as template for your submission. These include LaTeX and Word.Key DatesImportant Dates of the Conference.
With very best regards! Huajun
On behalf of the OC committe of ICKG2024
日本データベース学会の皆さま
島根大学の神崎です。
2025年1月にラスベガスで開催される国際会議ICCE 2025について再度の
ご案内です。
投稿締切は8月15日となっております。皆様ぜひ投稿をご検討ください。
よろしくお願いいたします。
-------------------------------------------------------------------------
CALL FOR PAPERS AND PROPOSALS
43rd IEEE International Conference on Consumer Electronics (ICCE 2025)
"Imaginaitons with Consumer Technology"
11-14 January 2025 / Las Vegas, NV, US / In person.
https://2025.icce.org/
-------------------------------------------------------------------------
The 43rd IEEE International Conference on Consumer Electronics (ICCE 2025)
is the IEEE Consumer Technology Society’s annual flagship conference that
will take place in conjunction with CES. ICCE 2025 will bring together top
professionals from industry, government, and academia from around the
world. The theme of the conference is “Imaginations with Consumer
Technology ". The conference will provide networking opportunities for
participants to share ideas, designs, and experiences on the
state-of-the-art and future direction of consumer technologies. ICCE 2025
will feature comprehensive high-quality technical and industry programs
covering traditional and contemporary topics delivered through lecture,
and interactive oral presentations, tutorials, industry forums, mixed
panels and high profile keynotes. Authors should register under the "Full"
registration category to get their papers published in the Conference
Proceedings and IEEE Xplore®. Authors with multiple papers must register
each paper separately with the requisite fee. Authors of selected papers
with the highest reviews may be invited to extend their conference papers
into high quality journal papers to special issues of peer-reviewed
journals of CTSoc (e.g., IEEE Transactions on Consumer Electronics and
IEEE Consumer Electronics Magazine). For the details and updates, please
visit the conference website at https://2025.icce.org/.
IMPORTANT DATES
Paper Submission: Aug. 15 /2024
Paper Acceptance: Sep. 30 /2024
Camera Ready Paper: Oct. 31 /2024
Proposal Submission: July 30 /2024
Proposal Acceptance: Aug. 31 /2024
Presentation Ready: Nov. 15 /2024
TECHNICAL PAPERS
We are calling for Technical Papers in the following Regular Tracks.
Please submit your paper(s) using the conference website.
- Application-Specific CE for Smart Cities (SMC)
- Audio/Video Systems and Signal Processing (AVS)
- Automotive CE Applications (CEA)
- Consumer Communications Networks and Connectivity (CCN)
- Consumer Power and Energy (CPE)
- Consumer Systems for Healthcare and Wellbeing (CSH)
- Entertainment and Gaming (ENT)
- Human-Machine Interaction and User Experience (HMI)
- Internet of Things, Internet of Everywhere, Edge Computing(IOT)
- Machine learning, Deep learning and AI in CE (MDA)
- Quantum in Consumer Technology (QCT)
- Security and Privacy of CE Hardware and Software Systems (SPC)
- Sensors and Actuators (SEA)
- Smartphone and Mobile Device Technologies (MDT)
- Virtual Reality, Augmented Reality and Metaverse (VAM)
- Emerging Consumer Technology (ECT)
- Next Generation Communications and Networks (NCN)
- Generative Pre-trained Transformer (GPT)
- Blockchain and Cryptocurrency (BAC)
- Digital Fashion and Non-Fungiable Token (DFT)
- Software in Consumer Technologies (SCT)
- Physical Unclonable Function and Security (PUF)
We are also calling for papers in the Special Technical Sessions.
For the detail, please see the conference website.
INDUSTRY FORUM (IF) PROPOSALS
Proposal submissions are sought for Industry Forums (IF) on the latest
technical and business issues, challenges, and solutions in CE industry.
We also welcome proposals relevant to topics listed in the above Tracks
and the theme.
Submit proposals to icce2025-IF(a)icce.org
TUTORIAL PROPOSALS
Proposals are invited for one or two hour(s) Tutorials to be presented
on January 11, particularly related to the conference theme.
Submit proposals to icce2025-Tutorial(a)icce.org
ORGANIZING COMMITTEE
General Chairs
Hideki Tode (Japan)
Jing-Ming Guo (Taiwan)
Technical Program Committee Chairs
Yeong-Kang Lai (Taiwan)
Daishi Kondo (Japan)
Kim-Fung Tsang (China)
Norbert Herencsar (Czech Republic)
Sanghoon Lee (Korea)
General Affairs Chairs
Yoshinobu Tamura (Japan)
Wen-Huang Cheng (Taiwan)
Publication Chairs
Akimitsu Kanzaki (Japan)
Po-Chyi Su (Taiwan)
Hyuk-Jae Lee (Korea)
Finance Chairs
Tsung-Han Tsai (Taiwan)
Brian Markwalter (USA)
Special Technical Session Chairs
Minoru Watanabe (Japan)
Tin-Yu Wu (Taiwan)
Sungjin Lee (Korea)
Keynote Chairs
Konstantinos E. Psannis (Greece)
Hiroshi Fujinoki (USA)
Akihiro Fujihara (Japan)
Award Chairs
Yoshio Iwai (Japan)
Htoo Htoo Sandi Kyaw (Japan)
Kota Aoki (Japan)
Industrial Program Chairs
Michael A. Isnardi (USA)
Kiyoshi Ueda (Japan)
Pei-Jun Lee (Taiwan)
Web Chairs
Mohd Anuaruddin Ahmadon (Japan)
Chao-Hsien Lee (Taiwan)
Tutorial Chairs
Lauren Christopher (USA)
Ming Lin Chuang (Taiwan)
Yen-Lin Chen (Taiwan)
Invited Session Chairs
Hiroaki Morino (Japan)
Yu-Cheng Fan (Taiwan)
Chen-Chien Hsu (Taiwan)
Taewan Kim (Korea)
Local Arrangement Chair
Stuart J. Lipoff (USA)
Patronage Chair
TBD
WIE Chairs
Jeewika Renaweera (USA)
Marzieh Amini (Canada)
YP Chairs
Kazuyuki Kojima (Japan)
Chih-Hsien Hsia (Taiwan)
Tadaaki Ikehara (Japan)
Advisory Chairs
Takako Nonaka (Japan)
Tutomu Murase (Japan)
Chih-Peng Fan (Taiwan)
Shinji Sugawara (Japan)
CTSoc President
Wen-Chung Kao (Taiwan)
CTSoc VP Conference
Nobuo Funabiki (Japan)
CTSoc Adminstrator
Charlotte Kobert (USA)
日本データベース学会の皆様
お世話になっております。東工大の曹です。
オーストラリアのGriffith Universityと東工大で同時開催される国際会議
「Australasian Database Conference (ADC) 2024」について
ご案内させていただきます。
〜〜〜〜〜〜〜〜〜〜〜〜〜〜〜〜〜〜
- *Research Paper*
Full Paper Deadline: *13 Sep, 2024 *
Author Notification: 7 Oct, 2024
Camera-Ready Deadline: 15 Oct, 2024
- *Encore Paper*
Submission Deadline: *continuous until 13 Sep, 2024*
Author Notification: with 14 days post-submission
- *Shepherding Paper*
Submission Deadline: *13 Sep, 2024*
Author Notification: 7 Oct, 2024
Camera-Ready Deadline: 15 Oct, 2024
- *Conference Dates*
ADC 2024 Conference: *16 - 18 Dec, 2024*
〜〜〜〜〜〜〜〜〜〜〜〜〜〜〜〜〜〜
主なトピック:
Artificial intelligence in big data
Cloud, distributed, and parallel databases
Data cleaning and integration
Data preparation and discovery
Data mining and data analytics
Data platform internals
Data warehousing
Data market
Database integration
Database performance and tuning
High-dimensional and temporal data
Knowledge discovery
Machine learning methods for management of data
Mobile databases
Multimedia databases
Novel data management applications
Privacy and security in databases
Query processing and optimization
Recommendation systems
Network and graph data management
Spatial data processing and management
Stream and sensor data management
Uncertain and probabilistic databases
Web databases
詳細は、https://adc-conference.github.io/2024/ にご参考ください。
また、日本側でTutorial、Panel、Posterなどのセッションを設けたいと検討しております。
ご提案やご不明などがありましたら、お気軽にご連絡ください。
どうぞよろしくお願いいたします。
曹
#重複でお受け取りの際はご容赦ください。
東京大学の山肩です。
2025年1月8(VBSは7)~10日に奈良で開催される、マルチメディアの国際学会
MMM 2025 の締め切りが約1か月延長されました!
RegularとSpecial Session論文 投稿締切: 2024年8月19日(月)
Demo論文 投稿締切:2024年9月2日(月)
Video Browser Showdown 投稿締切:2024年9月27日(金)
Regular、Special Session、Demo論文 採択通知:2024年10月9日(水)
皆様のご発表申し込みをお待ちしております。
==================================================================
The 31th International Conference on MultiMedia Modeling — MMM 2025
January (VBS: 7-) 8 – 10, 2025 in Nara, Japan
https://mmm2025.net/
==================================================================
Call for Paper for MMM2025
*** The submission deadline has been extended by 4 weeks! ***
Important Dates:
* Regular and Special Session Paper Submission: 19 August 2024 ( Extended )
* Demo Paper Submission: 2 September 2024 ( Extended )
* Video Browser Showdown Submission: 27 September, 2024 ( Extended )
* Regular, Special Session and Demo Paper Notification: 9 October
2024 ( Extended )
* Camera Ready Version and Registration: 23 October 2024
MMM is a leading international conference for researchers and industry
practitioners for sharing new ideas, original research results and
practical development experiences from all MMM related areas. The
conference calls for research papers reporting original investigation
results and demonstrations reporting novel and compelling
applications. Special sessions, keynote lectures, the Video Browser
Showdown will also contribute to a high-quality program.
Details and updates will be published on the conference’s Web site:
https://mmm2025.net/
Call for Contributions
MMM 2025 solicits submissions of contributions for the following programs:
* Full papers
* Special Sessions
* Demo Sessions
* Video Browser Showdown (VBS)
MMM 2025 proposes five special sessions:
* SpIMA: Spatial Intelligence in Multimedia Analytics
* Multimedia Research in Robotics
* MLLMA: Multimodal Large Language Models and Applications
* ExpertSUM: Expert-Level Text Summarization from Fine-Grained
Multimedia Analytics
* Simulating Edge Computing and Multimodal AI: A Benchmark for
Real-World Applications
All paper submissions must conform to the formatting instructions of
Springer Verlag, LNCS series,
and must strictly adhere to the submission schedule.
MMM seeks contributions on the following research topics:
Multimedia Content Analysis
* Multimedia indexing
* Multimedia mining
* Multimedia abstraction and summarization
* Multimedia annotation, tagging and recommendation
* Multimodal analysis for retrieval applications
* Semantic analysis of multimedia and contextual data
* Interactive learning
* Multimedia knowledge acquisition and construction
* Multimedia verification
* Multimedia fusion methods
* Multimedia content generation
Multimedia Signal Processing and Communications
* Media representation and algorithms
* Multimedia sensors and interaction modes
* Multimedia privacy, security and content protection
* Multimedia standards and related issues
* Multimedia databases, query processing, and scalability
* Multimedia content delivery, transport and streaming
* Wireless and mobile multimedia networking
* Sensor networks (video surveillance, distributed systems)
* Audio, image, video processing, coding and compression
* Multi-camera and multi-view systems
Multimedia Applications, Interfaces and Services
* Media content retrieval, browsing and recommendation tools
* Extended reality (AR/VR/MR) and virtual environments
* Real-time and interactive multimedia applications
* Multimedia analytics applications
* Egocentric, wearable and personal multimedia
* Urban and satellite multimedia
* Mobile multimedia applications
* Question answering, multimodal conversational AI and hybrid intelligence
* Multimedia authoring and personalisation
* Cultural, educational and social multimedia applications
* Multimedia for e-health and medical applications
Ethical, Legal and Societal Aspects of Multimedia
* Fairness, accountability, transparency and ethics in multimedia modeling
* Environmental footprint of multimedia modeling
* Large multimedia models and LLMs
* Multimodal pretraining and representation learning
* Reproducibility, interpretability, explainability and robustness
* Embodied multimodal applications and tasks
* Responsible multimedia modeling and learning
* Legal and ethical aspects of multimodal generative AI
* Multimedia research valorisation
* Digital transformation
日本データベース学会のみなさま
島根大学の神崎です。
2025年3月末に島根県松江市にて開催される国際会議ICCT-Pacific 2025の
論文募集についてご案内です。
毎年1月にラスベガスで開催されているICCEと同様、IEEE CTSoc主催にて開
催される国際会議となります。
皆様ぜひ投稿をご検討ください。
よろしくお願いいたします。
================================================================
ICCT-Pacific 2025 CALL FOR PAPERS
-------------------------------------------------------------
2025 IEEE International Conference on Consumer Technology Pacific
(ICCT-Pacific 2025)
Matsue, Japan, March 29-31, 2025.
(https://2025.icct-pacific.org/)
We are pleased to introduce the 2025 IEEE International Conference
on Consumer Technology - Pacific (ICCT-Pacific 2025), sponsored by
IEEE Consumer Technology Society. Please join and experience the
powerful synergistic effects of ICCT-Pacific 2025.
*** Important Dates ***
(See https://2025.icct-pacific.org/ for details)
===========================================
Paper Submission: October 18, 2024
Proposal Submission: September 6, 2024
Paper Acceptance: December 13, 2024
Proposal Acceptance: September 20, 2024
Camera Ready Paper: January 17, 2025
ICCT-Pacific 2025: March 29-31, 2025
More details can be found at:
https://2025.icct-pacific.org/
*** Organized Sessions ***
===========================================
ICCT-Pacific 2025 welcomes contributions not only on the regular
sessions but also on the Organized Sessions.
The details can be found in the following URL:
https://2025.icct-pacific.org/authors/
*** Regular Session Topics ***
===========================================
In addition to OS topics, the following topics of interest to be
covered by ICCT-Pacific 2025, but are not limited to:
Application-Specific CE for Smart Cities (SMC)
Audio/Video Systems and Signal Processing (AVS)
Automotive CE Applications (CEA)
Consumer Communications Networks and Connectivity (CCN)
Consumer Power and Energy (CPE)
Machine learning, Deep learning and AI in CE (MDA)
Sensors and Actuators (SEA)
Consumer Systems for Healthcare and Wellbeing (CSH)
Entertainment and Gaming (ENT)
Human-Machine Interaction and User Experience (HMI)
Quantum in Consumer Technology (QCT)
Security and Privacy of CE Hardware and Software Systems (SPC)
Smartphone and Mobile Device Technologies (MDT)
Virtual Reality, Augmented Reality and Metaverse (VAM)
Education Technologies (EDT)
Generative AI and Large Language Model (GAL)
MEMS and Semiconductor Devices (MSD)
Physical Unclonable Function and Cryptography (PUC)
Web 3 and Blockchain (WEB)
*** Location ***
===========================================
ICCT-Pacific 2025 will be held in Matsue, Shimane, Japan.
*** ICCT-Pacific 2025 Organization Committee ***
===========================================
Conference Chairs: Masaru Fukushi, Akimitsu Kanzaki, Yasuyuki Miura
TPC Chairs: Takumi Miyoshi, Yosuke Tanigawa, Hiroshi Yamamoto
For more information, please visit ICCT-Pacific 2025 official website
https://2025.icct-pacific.org/
or contact ICCT-Pacific 2025 Office via E-mail icctpacific(a)gmail.com