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