データベース学会の皆様 名大の駒水です． ICDARワークショップ@ICMR（6月，シカゴ）の締切が 4/28 となっております．ご感心の方はぜひ投稿をご検討ください． ショートペーパ（ACM 4ページ）も歓迎しておりますので， 研究議論の場としてお使いください． Web: https://www2.nict.go.jp/bidal/icdar_icmr2025/index.html On Wed, Feb 26, 2025 at 6:28 PM Takahiro Komamizu <taka-coma@acm.org> wrote:

データベース学会の皆様

名大の駒水です． マルチメディア情報検索の国際会議 ICMR（6月，シカゴ - USA）にて クロスモーダル情報処理に関するワークショップ ICDAR を今年も開催します．

昨年からトピックを一部見直し， 様々なモーダルのデータから人間心理を読み解くようなトピックも 加わっています．コンテンツ（料理や観光，など）を様々な視点で分析するような トピックのスコープ内です．DEIM のトピックとも親和性があると思いますので， 投稿をご検討ください．

ICMR はマルチメディア分野では小さめの会議なこともあり， マルチメディア分野関係研究者とのネットワーキングにとても良い機会ですので， いろいろなデータを扱う研究をされている方に良いと思います．

=== 以下 CFP === We are excited to invite you to contribute to our workshop on “Intelligent Cross-Data Analysis and Retrieval” (ICDAR@ICMR2025) — a cutting-edge research initiative aimed at bridging multiple data modalities, domains, and platforms to drive intelligent decision-making and a sustainable future.

* Why Cross-Data Matters In today’s data-driven world, isolated datasets provide only fragmented insights. The ability to integrate and analyze data across different sources, domains, and platforms is crucial for solving complex real-world problems. From cross-modal retrieval systems (e.g., text-to-image search) to predicting air quality with lifelogging images, cross-data methodologies are revolutionizing research in fields like well-being, disaster prevention, mobility, climate change, tourism, healthcare, and food computing.

* Topics of Interest We welcome interdisciplinary contributions, including but not limited to: - Event-driven cross-data technologies – retrieval, data mining, and AI-powered insights. - Complex event processing – linking sensor data across multiple scales. - Transfer learning & transformer models – knowledge transfer across diverse data. - Hypothesis-driven analytics – uncovering associations within heterogeneous datasets. - Cross-dataset experimentation – ensuring reproducibility and scalability. - Privacy-preserving data collaboration – balancing accessibility & security. - Federated learning for cross-data – decentralized AI methodologies. - Psycholinguistic components in cross-data analysis – exploring language processing, sentiment analysis, and cognitive modeling in multimodal data. - Influence of cognitive and linguistic factors in data perception and interpretation. - Applications of intelligent cross-data analysis in key domains.

* Important Dates - Submission Deadline: April 11, 2025 - Notification of Acceptance: April 28, 2025 - Final Manuscript Due: May 5, 2025

*Submit Your Research We invite you to submit your latest work and be part of this groundbreaking research initiative. For more details and submission guidelines, please visit the workshop website. ICDAR workshop website: https://www2.nict.go.jp/bidal/icdar_icmr2025/index.html or reach out to us at an organizer, Takahiro Komamizu (taka-coma@acm.org).

Thank you, and we look forward to your contributions! Best regards, Takahiro Komamizu, Marc A. Kastner, Minh-Son Dao, Michael Alexander Riegler, Duc-Tien Dang-Nguyen, Son Tran ICDAR workshop organizers

-- Takahiro Komamizu Ph.D. in Engineering Nagoya University E-mail: taka-coma@acm.org

-- Takahiro Komamizu Ph.D. in Engineering Nagoya University E-mail: taka-coma@acm.org