[dbjapan] [new Sub. due 3/29] CFP: Cross-data 分析・検索の国際ワークショップ ICDAR

データベース学会の皆様 名古屋大学の駒水です． 前回お知らせした ICMR のワークショップ ICDAR の締切が延長されました． DEIM でも関連する論文は多くあったと思います． ご興味のある方はぜひ投稿をご検討ください． --- https://www2.nict.go.jp/bidal/icdar_icmr2024/index.html 5th workshop on Intelligent Cross-Data Analysis and Retrieval Deadline extended: 29 March 2024 --- 駒水 On Sat, Feb 17, 2024 at 11:34 PM Takahiro Komamizu <taka-coma(a)acm.org> wrote: > > データベース学会の皆様 > > 名古屋大学の駒水です． > > > # Important Dates > March 15, 2024. Workshop Paper Submission. > April 15, 2024. Notification of Acceptance for Workshop Papers. > April 25, 2024. Camera-Ready Workshop Papers Due. > June 10-13, 2024. ICMR conference dates (Workshop day TBD) > > # Call for Paper > We invite submissions for our workshop that focuses on the relevance > and significance of multimedia analytics and retrieval in the context > of the broader societal landscape. Over the past decade, significant > advancements have been made in multimedia analytics and retrieval, > allowing for precise and rapid extraction of data insights. This > progress has led to numerous applications that enhance various aspects > of human lives. However, the diverse perspectives embedded in > multimedia and other data types present a complex puzzle that requires > assembly to address human-centered challenges effectively. > > The workshop aims to bring together individuals working with > multimedia and other data types across diverse research domains and > disciplines, such as wellbeing, disaster prevention & mitigation, > mobility, food computing, security, and smart cities. We encourage > contributions that explore the originality and novelty of proposed > topics related to the integration of diverse multimodal data. > > The current era witnesses the exponential growth of sensors, > communication technologies, and social networks, enabling individuals > to collect data swiftly from themselves and their environments. > Coupled with artificial intelligence and advanced application > techniques, data has evolved into a more intelligent form, providing > valuable information and knowledge for near-human cognitive analytics > and retrieval. This intelligent data collection offers new > opportunities to better understand the intricate associations between > human beings and their surroundings. > > The workshop specifically calls for submissions addressing the > analysis and retrieval of cross-data from different perspectives, > focusing on wearable and ambient sensors, lifelog cameras, social > networks, and surrounding sensors. While several investigations have > explored individual perspectives, there is a limited focus on > analyzing and retrieving cross-data to maximize the benefits for human > beings. Researchers are invited to contribute to this endeavor, aiming > to create a smart and sustainable society by efficiently utilizing > intelligent cross-data analysis and retrieval. > > Possible application domains for submitted works include, but are not > limited to, well-being, disaster prevention & mitigation, mobility, > and food computing. We encourage researchers from various backgrounds > to engage in this workshop, fostering collaboration and innovation in > the field of intelligent cross-data analysis and retrieval. > > Example topics of interest include but is not limited to the following > > Event-based cross-data retrieval, data mining, and AI technology. > Complex event processing for linking sensors data from individuals, > regions to broad areas dynamically. > Transfer Learning and Transformers. > Hypotheses Development of the associations within the heterogeneous data. > Realization of a prosperous and independent region in which people and > nature coexist. > Applications leverage intelligent cross-data analysis for a particular domain. > Cross-datasets for Repeatable Experimentation. > Federated Analytics, Federated Learning, and Edge AI for cross-data. > Privacy-public data collaboration. > Integration of diverse multimodal data. > > -- > 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