August 2020 - DBJapan - dbjapan.dbsj.org

研究員公募のご案内
by Tomoki Yoshihisa 09 Jun '21

09 Jun '21

日本データベース学会のみなさま大阪大学の義久です。お世話になっております。 MaaS (Mobility as a Service) に関する研究の研究員を募集しております。概要は下記です。詳細は https://jrecin.jst.go.jp/seek/SeekJorDetail?fn=3&id=D120050851 をご覧ください。適任の方、興味をもちそうな方がおられましたら、お声がけいただければ幸いです。ご質問等ございましたらお気軽にお問い合わせください。［研究内容] Society 5.0における社会課題解決に向けた利用者誘引型低遅延MaaS基盤に関する研究 MaaS (Mobility as a Service) は、シェアカーによる環境センシングなどにより、Society 5.0における社会課題の解決に活用できます。我々の研究チームでは、利用者を社会課題解決に誘引するためにMaaSマイル（社会課題解決と利用者利益とを関連付ける数値化された資源）を提案し、利用者誘引型低遅延MaaS基盤を研究開発しています。本公募では、MaaSマイルの計算式、計算に必要なデータを低遅延に収集、分析する技術、MaaS基盤の社会実装等に関する研究を推進する研究員を募集します。情報分析技術、都市計画、情報インフラ、など様々な分野からの応募を期待します。［勤務場所］大阪府豊中市待兼山町1-32（大阪大学豊中キャンパス）［勤務形態］非常勤（任期あり）［応募資格］・博士学位取得者（取得予定も含む）・本研究を意欲的に取り組める者［募集期間］ 2020年05月25日～ 2020年07月31日ただし、採用者が決定した時点で締め切ります。［連絡先］大阪大学サイバーメディアセンター義久智樹　yoshihisa(a)cmc.osaka-u.ac.jp 何卒よろしくお願い致します。 -- 義久智樹

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大阪大学　特任助教（常勤）・研究員の公募
by makoto onizuka 18 May '21

18 May '21

データベース学会の皆様，阪大の鬼塚です．阪大の情報科学研究科鬼塚研にて特任助教（常勤）・研究員の公募を行っております．研究課題はOLAP・データ分析向けの分散処理エンジン・分散データベースです．詳細は以下のURLをご確認ください．応募締め切りは1月末日です．日本語：http://www.ist.osaka-u.ac.jp/japanese/introduction/job-openings.html 英語：http://www.ist.osaka-u.ac.jp/english/introduction/job-openings.html

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シンポジウム開催案内
by Haruo Yokota 03 Sep '20

03 Sep '20

日本データベース学会の皆様，東京工業大学の横田です。東京工業大学の「社会的課題解決型データサイエンス・ＡＩ研究推進体」では、９月１１日（金）１３：３０から、下記のシンポジウムを開催することにしました。以下のＷｅｂページにも同様の情報を載せています。 http://dsai.c.titech.ac.jp/notice-of-dsai-symposium/ 奮ってご参加頂きます様、よろしくお願い致します。 −− 横田 −−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−− 社会的課題解決型データサイエンス・ＡＩ研究推進体シンポジウム～千年カルテを活用した診療ベストプラクティス分析を中心に～開催日時：2020年9月11日（金）　13時30分−17時15分開催方式；Zoom ウェビナーによるオンライン開催（参加申込をされた方に9月10日正午にZoom情報をお知らせいたします）主催：東京工業大学　社会的課題解決型データサイエンス・ＡＩ研究推進体後援：特定非営利活動法人日本医療ネットワーク協会 * 「千年カルテプロジェクト」は、2015年に国立研究開発法人日本医療研究開発機構(AMED) 研究公募事業に採択された全国共同利用型国際標準化健康・医療情報の収集及び利活用に関する研究です。プログラム 13:30-13:45 主催者挨拶・渡辺治氏（東京工業大学理事・副学長（研究担当））・横田治夫氏（東京工業大学情報理工学院長、社会的課題解決型データサイエンス・ＡＩ研究推進体研究代表者）第１部 13:45-14:15 「診療ベストプラクティスの概要説明」荒木賢二氏（宮崎大学医学部附属病院IR部教授） 14:15-14:45 「実電子カルテを用いた医療指示シーケンス解析とそれに基づく医療指示推薦」横田治夫氏（東京工業大学情報理工学院） 14:45-15:15 「実電子カルテのリレーショナルデータマイニングおよび患者のリスク予測モデルの開発」住谷有規氏（東京工業大学工学院） 15:15-15:30 休憩 15:30-16:00 「入院後合併症に対する予測モデルの開発と説明可能なAIの適用」松田敦義氏（株式会社ログビー CEO） 16:00-16:30 「医療エキスパートによるベストプラクティス分析とクリニカルパス開発」山崎友義氏（宮崎大学医学部附属病院IR部）第２部 16:30-17:10 パネルディスカッション「千年カルテの分析により得られるもの」パネリスト：酒巻哲夫氏（群馬大学名誉教授）荒木賢二氏（宮崎大学医学部附属病院IR部教授）中田和秀氏（東京工業大学工学院准教授）松田敦義氏（株式会社ログビー CEO）山崎友義氏（宮崎大学医学部附属病院IR部）モデレータ：横田治夫 17:10-17:15 クロージング参加費：無料（事前登録制）参加申し込み登録締切：2020年9月4日（金）登録方法：以下の URL から必要な情報をご入力ください。 https://ws.formzu.net/fgen/S90050827/ 開催方式等変更がございましたら参加申込をされた方にメールにてご案内いたします。 −−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−

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VLDBにおける日中DB交流セッションの参加について
by 馬強 01 Sep '20

01 Sep '20

日本データベース学会の皆様いつもお世話になっております。京都大学の馬です。 VLDB 2020東京において、日中のデータベースコミュニティの交流セッションを開催します。 DBSJ会長喜連川先生やCCF-DB主任のZhanhui Li先生の話のほか，アリババのFeifei Li氏や筑波大学の森嶋先生の最新研究成果について聞けます！ VLDB 2020の参加者なら誰でも参加できます！ VLDBの参加登録と日中DB交流セッションへのご参加をよろしくお願いします． ----- Session 19r (15:00-17:00 JST) https://vldb2020.org/program_flat.html?s=19r RoundTable R3: Japan-China Collaboration Program: 15:00-15:10 Opening Remarks, DBSJ Activities. Masaru Kitsuregawa, President of DBSJ 15:10-15:20 Opening Remarks, CCF-DB Activities Zhanhui Li, Director of CCF-DB 15:20-15:30 Break 15:30-16:10 Invited Talk 1, Chair: Masaru Kitsuregawa Title: Cloud Native Database Systems for Enterprise Applications Speaker: Feifei Li, Vice President of Alibaba Group Abstract: Cloud native database becomes increasingly important for the era of cloud computing, due to the needs for elasticity and high availability. A cloud native database system leverages software-hardware co-design to explore accelerations offered by new hardware such as RDMA and NVM. New design architectures such as shared-storage and shared- everything enable a cloud-native database to decouple computation from storage and provide elasticity. For highly concurrent workloads that require horizontal scalability, a cloud native database can also leverage a shared-nothing layer to provide distributed query and transaction processing. Cloud applications also require that cloud native databases to offer high availability through distributed consensus protocols. Furthermore, The need for integrating big data processing workloads with a traditional OLAP data warehouse inside a cloud native database/data warehouse becomes increasingly imperative, so that the system can provide both real-time online interative analytics and batched offline ETL with complex computation. We will present the key technical ideas towards building cloud native database systems and the application and integration and big data and AI techniques in such systems. Bio: Feifei Li is currently a Vice President of Alibaba Group, ACM Distinguished Scientist, President of the Database Products Business Unit of Alibaba Cloud Intelligence, and Director of the Database and Storage Lab of DAMO academy. He has won multiple awards from ACM and IEEE. He is a recipient of the ACM SoCC 2019 Best Paper Award (runner-up), IEEE ICDE 2014 10 Years Most Influential Paper Award, ACM SIGMOD 2016 Best Paper Award, ACM SIGMOD 2015 Best System Demonstration Award, IEEE ICDE 2004 Best Paper Award. He has been an associate editor, PC co-chairs, and core committee members for many prestigious journals and conferences, and has led the R&D efforts of cloud native database systems and products at Alibaba. 16:10-16:20 Break 16:20-17:00 Invited Talk 2, Chair: Guoliang Li Title: People, AI, Data and the Future of Work: Computational Division of Labor with CyborgCrowd Speaker: Atsuyuki Morishima, Professor of University of Tsukuba Abstract: JST CREST CyborgCrowd Project is a Japanese government funded project that started in Dec. 2016 to extend crowdsourcing technologies to deal with hybrid workforce comprising of human and AI-powered machine workers in the new digital knowledge era. The project has two goals: (1) to extend the traditional workforce to include a diverse set of workers, including AI workers and people who were not considered as a part of workforce in the traditional organizations, and (2) to automate the task assignment process and dynamically optimize the assignment in terms of not only employers’ but also workers’ viewpoints. This talk overviews the project and gives the challenges and the current status of the project. Bio: Atsuyuki Morishima is a professor of University of Tsukuba, Japan. His research interests include computational division of labor, data-centric human-machine computations, data integration and digital libraries. Currently, he is an associate editor of the VLDB Journal, and an steering committee member of ICADL, DASFAA, and ACM/IEEE JCDL. He is the leader of JST CREST CyborgCrowd Project and the representative of the Crowd4U initiative. He has been involved in many real-world crowdsourcing projects on digital libraries, digital archives, natural disaster responses and smart cities. He received international and domestic awards including the second-runner-up for the ACM SIGMOD 2001 best paper award, the 2004 IPSJ best paper award, the CAiSE 2015 best paper award and the 2018 Emerald Literati Award. In the past, he served as the chair of SIG-DBS of the Information Processing Society of Japan, and a steering committee member of ACM SIGMOD Japan Chapter. He served as a track chair in ACM CIKM 2008 and program co-chairs in ICADL 2016 and JCDL 2019. ----- ---- MA Qiang (馬強）京都大学大学院情報学研究科 Graduate School of Informatics, Kyoto University ----

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[VLDB 2020] 9/1（日本時間）の見どころ + 出版社の特別オファー
by Yoshiharu Ishikawa 31 Aug '20

31 Aug '20

日本データベース学会の皆様 ■ 9月1日の見どころ ■ VLDB 2020の9月1日（日本時間）の見どころについて説明します．24時間営業ですので，深夜0時から24時間の流れを説明します． https://vldb2020.org/program.html [0:00 - 16:30] pre-conference workshops開催．夕方ごろまで． [17:00-18:00オープニング：General Chairs, PC Chairs, VLDB Endowment より [18:00-19:00] キーノート1：Dan Olteanu - The Relational Data Borg is Learning DB + 機械学習に関するキーノートです． [19:00-21:00] セッションが2時間続きます．research/industrial papers の発表です． [21:00-22:00] ソーシャルタイムです．以下を並列に開催します． 1) パーティ―：Gatherという仮想環境サービスを使います．説明は以下からご覧ください． https://vldb2020.org/guide-gather.html 2) Virtual Japan 日本紹介の動画プログラムです．以下のような内容です． - 和楽器演奏：プロによるもので，一見の価値ありです．VLDBのためだけの映像です． - 幻のVLDB開催地を訪ねて - 日本観光 3) Virtual Sponsor Booth - Zoomで各スポンサー企業がブースを提供します．この時間はSnowflakeのみです． ■ 出版社からの特別オファー ■ 簡単に説明しておきます． - Cambridge University: 30%ディスカウントの本のリストを提供 - Morgan & Claypool：Data Managementシリーズのすべての本へのアクセス可 - Now Publishers：Foundations and Trends (FnT) というシリーズのうち，以下のカテゴリのものを10タイトルまでダウンロード可能 * FnT Databases * FnT Information Retrieval * FnT Machine Learning - Springer：20%ディスカウントの本のリストを提供石川

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VLDB 2020国際会議がはじまります（8/31-9/4 参加無料）
by Yoshiharu Ishikawa 31 Aug '20

31 Aug '20

日本データベース学会の皆様いよいよ，本日夕方より VLDB 2020 国際会議です．まずは pre-conference workshop からスタートします．概要について、あらためてアナウンスいたします．前回のアナウンスからの更新も含んでいますので，最後までご覧ください． 1) 日程について VLDB 2020はこの夏に東京での開催を予定しておりましたが，COVID-19への対応のためオンライン会議での開催となりました．日程は当初のとおり - 8月31日(月)：ワークショップ - 9月1日(火) - 3日(木)：本会議 - 9月4日(金)：ワークショップとなっています．ただし，プログラム運営の関係で，8月31日のワークショップは日本時間の夕刻から開始となり，9月4日のワークショップは日本時間では 9月5日まで開催されます．詳しくは後述のプログラムをご覧ください． 2) 参加方法 https://tokyo.vldb2020.org/ からご登録ください．会議トップページ（https://vldb2020.org/）からもリンクがあります．参加費は **無料** です．簡単に登録できますので，お早目にお願いいたします．また，連絡等で使用する Slack についても登録可能となりました．参加者用マニュアルが以下にありますので，ご覧ください． https://vldb2020.org/guide-attendee.html 3) プログラムの特徴 - 会議プログラムは以下にあります． * Interactive Version: https://vldb2020.org/program.html * Flat Version: https://vldb2020.org/program_flat.html - 完全オンライン会議による実施：発表は録画したビデオを配信します（YouTube使用）．Q&AはZoomでインタラクティブに実施します．また，参加者からの質問などのサポートにSlackを使用します． - 24時間のプログラム運営：24時間を大きく4ブロックに分割して運営します． https://vldb2020.org/program_timetable.html をご覧ください．メイン会議については，同じ発表を2回ずつ，異なるブロックで実施します． * 例えば，"Analytical Query Processing 1" のセッションは， - セッション3A: 日本時間の9月1日 7:00 pm - セッション8A: 日本時間の9月2日 2:00 am の2回が実施されますので，都合のよい時間に見ることができます． - ワークショップについては，一部のワークショップのみ2回目があります． 4) 見どころ ◆ その1：3件のキーノート（基調講演） https://vldb2020.org/keynote.html 機械学習とデータベース，責任あるデータ管理（法的，倫理的側面も含む）の 2件に加え，東大/NIIの喜連川教授によるキーノートが行われます． - Dan Olteanu: The Relational Data Borg is Learning - Julia Stoyanovich: Responsible Data Management - Masaru Kitsuregawa: Out-of-order Execution of Query Processing and New Advances in COVID-19 Information ◆ その2：研究・インダストリアル論文およびデモ発表 VLDBではトップレベルの研究開発の成果が発表されます．今回のVLDB 2020ですが，研究論文の発表数が207件となっています．これは過去最大規模の内容となっています． ◆ その3：最先端のチュートリアル以下のチュートリアルが開催予定です． 1. Building High Throughput Permissioned Blockchain Fabrics: Challenges and Opportunities 2. Robust Query Processing: Mission Possible 3. Data Collection and Quality Challenges for Deep Learning 4. Similarity Query Processing for High-Dimensional Data 5. Table Extraction and Understanding for Scientific and Enterprise Applications 6. Fairly Evaluating and Scoring Items in a Data Set ◆ その4：パネル討論 Title: Winds from Seattle: Database Research Directions Panelists: Peter Bailis, Magda Balazinska, Xin Luna Dong, Juliana Freire, Raghu Ramakrishnan, Michael Stonebraker Moderator: Joseph M. Hellerstein ◆ その5：ワークショップさまざまなトピックに関してワークショップが開催されます．詳しくは以下をご覧ください． https://vldb2020.org/program_workshops.html このうち，PhD Workshopは博士学生を対象としたワークショップです．また， BOSS (Big Data Open Systems) というワークショップは，その名のとおり，ビッグデータのためのオープンシステムに関するワークショップでチュートリアルが主体です． ◆ その6：特別セッション最近のBlack Lives Matterなどの問題を受けて，Racism & Technologyに関する招待講演を開催いたします． https://vldb2020.org/invited-talk.html ◆ その7：Virtual Japan 日本の魅力を伝える1時間の動画プログラムです．9月1日の21:00（日本時間）が 1回目の配信です． ◆ その8：ラウンドテーブルさまざまなトピックについて，関心を持つ人たちが集まり議論するラウンドテーブルが開催されます．概要については https://vldb2020.org/round-table.html をご覧ください． ◆ その9：スポンサートーク https://vldb2020.org/sponsor-talk.html Megagon Labs, NEC, Google, Alibaba Group, Oracle からの講演があります． ◆ その10：バーチャルスポンサーブース https://vldb2020.org/sponsor-booth.html 各スポンサーの方々がバーチャルブースで対応いたします． ◆ その11：スポンサーからのメッセージ https://vldb2020.org/sponsor_message.html 各種情報が提供されています． ◆ その12：出版社からの特別オファー https://vldb2020.org/sponsor-publisher.html Cambridge University Press, Morgan & Claypool, Now Publishers, Springer からの特別オファーがあります．電子版書籍の無料ダウンロード権も提供されますので，ぜひチェックしてください．

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[Reminder] VLDBにおけるRound Table 4 - Women at VLDB 2020 in Asia
by Shiori Sasaki 31 Aug '20

31 Aug '20

日本データベース学会の皆様 VLDB 2020東京におけるRound Tableセッションについて、リマインドさせて頂きます。 9/2（水）15:00-16:00 (JST) [19R} Round Table 4 - Women at VLDB 2020 in Asia Organizing Committee Chairの北川博之先生、 Dr. Wang-Chiew Tan (Megaton Lab) Dr. Kyoung-Sook Kim (AIST) にお話を頂きます。 VLDBの参加登録（無料）とWomen at VLDB 2020 in Asiaセッションへのご参加を、ぜひとも宜しくお願い申し上げます。 VLDBの参加登録（無料）： https://vldb2020.org/program.html for Participants -> Virtual Conference Sign Up -> Name, Affiliation, e-mail 登壇者、参加登録、プログラム、Zoom roomへのアクセスにつきまして、こちらにまとめましたので、ご参照頂けますと幸いです。 https://docs.google.com/presentation/d/10y_1SWQb8hJDtwEo3T4JsR85oaqU1ueoLi0… ------------------------- [19R} Round Table 4 - Women at VLDB 2020 in Asia (60 minutes) https://vldb2020.org/program_flat.html?s=19R Wednesday, September 2nd 2020, 3:00 pm [6:00 am UTC] Day1 Block4 In this session, we focus on the success of women DB researchers. Dr. Wang-Chiew TAN (Megagon Labs) and Dr. Kyoung-Sook Kim (AIST) from Asia will introduce their research and career development. They will share their ideas on what kind of research to do in the DB field and how to develop their careers. At the beginning of the session, Prof. Hiroyki Kitagawa, VLDB Organizing Committee Chair, will give a speech to encourage female researchers. Not only women but also men are welcome to participate in this session. Program: 15:00-15:05 Opening Remarks, Expectation for Women Researchers in Asia. Hiroyuki Kitagawa, Organizing Committee Chair of VLDB, Professor, University of Tsukuba http://www.kde.cs.tsukuba.ac.jp/~kitagawa/ 15:05-15:25 Invited Talk I "Elements of a successful research career" Dr. Wang-Chiew Tan Head of Research at Megagon Labs https://wangchiew.github.io/ 15:25-15:40 Invited Talk II "A 3D Data Platform for Next- generation Smart Mobility Applications" Dr. Kyoung-Sook Kim Leader, Data Platform Research Team Artificial Intelligence Research Center National Institute of Advanced Industrial Science and Technology (AIST) https://staff.aist.go.jp/ks.kim/ 15:40-15:55 Panel Discussion (Q&A) 15:55-16:00 Closing Remarks, Future of Women Researchers and Diversity in Asia. Takako Hashimoto, Vice President, Professor, Chiba University of Commerce https://www3.cuc.ac.jp/~takako/en/ ------------------------- Shiori Sasaki Assoc. Prof., Faculty of Data Science, Musashino University Project Assoc. Prof., Graduate School of Media & Governance, Keio University

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論文募集： IEEE MIPR 2021（10月2日締切）
by Miyamori, Hisashi 29 Aug '20

29 Aug '20

日本データベース学会の皆様京都産業大学の宮森です。マルチメディアを対象とした情報処理・検索に関する国際会議 IEEE MIPR 2021 の投稿案内を送付させて頂きます。取り扱っている研究トピックは、テキスト・画像・音響だけでなく、数値・タグ・ネットワーク・信号・ジオタグ情報・グラフ/関連データ・3D/VR/AR・センサーデータなどの処理技術を広く網羅しております。今回は、2018年に国際会議となって初めての日本での開催です。投稿の締切は、10/2(金)となり、あと１ヶ月ほどありますので、今からのご執筆でも十分間に合うと思います。ご投稿を積極的に検討して頂けますと幸いです。どうぞよろしくお願いいたします。宮森恒 [Please accept our apologies if you receive multiple copies] ============================================================ *IEEE MIPR 2021: CALL FOR PAPERS AND PROPOSALS* ------------------------------------------------------------ IEEE 4th International Conference on Multimedia Information Processing and Retrieval (MIPR 2021) March 22-24, 2021. Tokyo, Japan. https://mipr2021.org/ Sponsored by IEEE TCMC. Supported by IEICE, IPSJ, ITE. ============================================================ Huge amounts of multimedia data are increasingly available and the knowledge of spatial and/or temporal phenomena becomes critical for many applications, which requires techniques for the processing, analysis, search, mining, and management of multimedia data. The 4th IEEE International Conference on Multimedia Information Processing and Retrieval (IEEE-MIPR 2021) will take place in Tokyo, Japan on March 22-24, 2021. The conference will provide a forum for original research contributions and practical system design, implementation, and applications of multimedia information processing and retrieval. The target audiences will be university researchers, scientists, industry professionals, software engineers and graduate students who need to become acquainted with new theories and technologies in multimedia information processing and retrieval. MIPR 2021 is now inviting submissions of regular research papers, demo papers, workshop proposals, special session proposals, and tutorial proposals. Please refer to the detail of each category in the following. ============================================================ *HISTORY & ACCEPTANCE RATE* ============================================================ - IEEE 3rd MIPR 2020 @ Shenzhen: 19.5% (Acceptance Rate) - IEEE 2nd MIPR 2019 @ San Jose: 19.5% (Acceptance Rate) - IEEE 1st MIPR 2018 @ Miami : 19.5% (Acceptance Rate) - 12 years of MIPR (workshop) in conjunction with IEEE ISM. ============================================================ *IMPORTANT DATES* ============================================================ - 04 Sep, 2020: Proposal deadline for special sessions and workshops. - 11 Sep, 2020: Notification of proposal for special sessions and workshops. - 02 Oct, 2020: Submission deadline for regular papers. - 06 Nov, 2020: Submission deadline of papers for special sessions, workshops, and demos. - 06 Nov, 2020: Proposal deadline for tutorials. - 13 Nov, 2020: Notification of proposal for tutorials. - 18 Dec, 2020: Notification of regular papers. - 25 Dec, 2020: Notification of papers for special sessions, workshops, and demos. - 08 Jan, 2021: Deadline for camera-ready submission (final version) and author registration. - 22-24 Mar, 2021: Conference dates. ============================================================ *Call for Regular Papers* ============================================================ IEEE MIPR 2021 will take place in Tokyo, Japan on March 22-24, 2021. The conference will provide a forum for original research contributions and practical system design, implementation, and applications of multimedia information processing and retrieval. **Topics** Topics of interest include, but are not limited to: * 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 * 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 and others. **Paper Submission** The conference will accept regular papers (6 pages plus reference pages). Authors are encouraged to compare their approaches, qualitatively or quantitatively, with existing work and explain the strength and weakness of the new approaches. We are planning to invite selected submissions to journal special issues. **Important Dates** - Paper submission deadline: October 2, 2020 - Notification of acceptance: December 18, 2020 - Camera-ready deadline: January 8, 2021 ============================================================ *Call for Demo Papers* ============================================================ IEEE MIPR 2021 organizing committee invites proposals for technical demonstrations to be presented in conjunction with the conference. Technical Demonstrations will show leading edge work in any area of multimedia information retrieval. Demonstrations offer the opportunity to present and receive feedback on live working systems in an informal setting. Submissions are particularly encouraged in the following areas with emphasis on multimedia information retrieval, but not limited to: ### Multimedia information 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 * Summarization * Personalized Retrieval * Browsing History * Fuzzy Retrieval * Accuracy Measures for Retrieval ### Machine Learning/Deep Learning/Data Mining in Multimedia * 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 ### Content Understanding and Analytics in Multimedia * Multimodal/Multisensor Integration and Analysis * Effective and Scalable Solution for Big Data Integration * Affective and Perceptual Multimedia * Multimedia/Multimodal Interaction Interfaces with humans * Bias and Fairness in Multimedia Analysis ### Multimedia and Vision * Multimedia Telepresence and Virtual/Augmented/Mixed Reality * Visual Concept Detection * Object Detection and Tracking * 3D Modeling, Reconstruction, and Interactive Applications ### Fake Multimedia * Image/Video Forensics * Forgery Detection * Multimedia Content Protection ### Multimedia Information Systems and Infrastructures * User Interface * Query-By-Retrieval Methods * Retrieval Paradigms * Novel Interfaces for Retrieval * Multimedia Systems and Middleware * Telepresence and Virtual/Augmented/Mixed Reality * Software Infrastructure for Data Analytics * Distributed Multimedia Systems and Cloud Computing * GPU-based Retrieval ### Multimedia Data Management * Multimedia Data Collections, Modeling, Indexing, or Storage * Data Integrity, Security, Protection, Privacy * Standards and Policies for Data Management * Spatio-Temporal Modeling and Retrieval ### Novel Applications in Multimedia * Multimedia Forensics and Security * Urban planning and emergency responses * Environmental monitoring * Education (using Multimedia for Education or Education about Multimedia) * Social Networks (multimedia content) * Multimedia Information Retrieval from Scientific Databases * Multimedia for Healthcare and Medicine ### Internet of Multimedia Things * Real-Time Data Processing * Autonomous Systems such as Driverless Cars, Robots, and Drones * Mobile and Wearable Multimedia The written and spoken language of IEEE MIPR 2021 is English. For technical demonstrations, authors should submit: * a 4-page manuscript in double-column IEEE format including the authors’ names and affiliations, following the submission guidelines available on the IEEE MIPR 2021 web page * a short abstract electronically, following the submission guidelines available on the IEEE MIPR 2021 web page * a presentation/video, which can be a Microsoft PowerPoint presentation, a Flash presentation, an MPEG/WMV video clip, or a link on for the corresponding presentation on Social Media (e.g., vimeo, YouTube) not more than five minutes long. Please create a single zip archive of all files, and upload it to the paper submission system. Only electronic submissions will be accepted. All technical demonstration papers should be in Adobe portable document format (PDF). The Conference Proceedings will be published by the IEEE Computer Society Press and be available for online access via IEEEXplore. All submissions will be peer-reviewed to ensure quality. Demonstrators will be provided with space and access to a local network, however, demos should not rely on Internet access. The participants will be required to provide their own computing equipment and any additional network, display, or other specific hardware needed for the demonstration. **Important Dates** * Paper submission deadline: November 6, 2020 * Notification of acceptance: December 25, 2020 * Camera-ready deadline: January 8, 2021 ============================================================ *Call for Tutorials* ============================================================ IEEE MIPR 2021 invites proposals for tutorials to be held on March 22 or March 24, 2021 (tentative date). We welcome 1.5 hours or 3 hours tutorial. Each tutorial is expected to focus on a significant research topic and/or application of multimedia information processing and retrieval. Proposals should be submitted in single PDF file by email to Tutorial Chairs via [tutorial(a)mipr2021.org] and must include the following information: * Title of the Tutorial * Names, titles, affiliations, and primary contact email of the Tutorial Organizers/Speakers * Preference for 1.5 hour or 3h event * 300-word Abstract (for publicity purposes) * Full description of the Tutorial including topics covered by the Tutorial and a brief description and detail of each topic * CV’s for Organizers/Speakers including relevant publications and list of tutorials given in past conferences or workshops (if any) * Planned materials to be distributed to attendees (if any) Each proposal will be evaluated by Tutorial Chairs based on their estimated benefit to the community. Specific factors to be considered include relevance, timeliness, importance, experience, and the Organizers’/Speakers’ qualifications. IEEE MIPR 2021 local arrangements will provide for rooms and necessary equipment needed for the tutorial session (microphones, video projector, and screen). Each tutorial speaker will need to cover her/his registration. **Important Dates** * Proposal deadline: November 6, 2020 * Notification of acceptance: November 13, 2020 * Camera-ready (1-page abstract of the Tutorial) deadline: January 8, 2021 ============================================================ *Call for Workshop Proposals* ============================================================ IEEE MIPR 2021 invites proposals for half- or full-day workshops to be held during the conference. Workshops are expected to focus on new research directions and novel applications of multimedia information processing and retrieval. Workshop proposals should be submitted in plain text or PDF, by e-mail to Workshop Chairs via [workshop(a)mipr2021.org] and must include the following elements: * Title and its acronym * Duration (full-day or half-day) * Description of the workshop topic * A draft CFP (not exceeding 500 words) * Short description of how the organizers plan to attract quality submissions * Preliminary list of invited speakers (if any) * Information on past editions (if any) * Short biographies of the organizers * Contact information of the organizers (including names, affiliations, mailing addresses, and e-mail addresses) After a workshop proposal is accepted, the organizers should create a Web page for the workshop and notify the workshop chairs of its URL. The main conference web site will provide a link to each workshop. **Important Dates** * Workshop proposal deadline: September 4, 2020 * Workshop proposal notification: September 11, 2020 * Paper submission deadline: November 6, 2020 * Notification of acceptance: December 25, 2020 * Camera-ready deadline: January 8, 2021 ============================================================ *Call for Special Session Proposals* ============================================================ IEEE MIPR 2021 will take place in Tokyo, Japan on March 22-24, 2021 [ https://mipr2021.org] The conference will provide a forum for original research contributions and practical system design, implementation, and applications of multimedia information processing and retrieval. At this time, we invite you to propose special sessions for MIPR 2021. Special sessions supplement the regular program for MIPR 2021. They provide new and emerging topics in the fields of multimedia information processing and retrieval. Each special session should provide an overview of the state-of-the-art and highlight important research directions in a field of special interest to MIPR participants. Each Special Session should be a focused effort rather than defined broadly. Each special session should consist of about 5 oral papers with authors from at least three independent institutions. The session organizers will be responsible for the selection of these papers. Special session papers can be invited or submitted. They will supplement the regular research papers and be included in the proceedings of MIPR 2021. * Title of the special session * Session abstract (approximately 100 words), with stating the importance of the topic and the rationale for the session * Names and affiliations of the organizers (including brief bios and contact information) * List of potential authors committed to submit paper (including a tentative title and a 300-word abstract for each paper) Once the proposal has been approved, it is the duty of the organizers to publicize their special session among researchers and practitioners in each session field. The organizers will organize the review process as below. 1. Establish an independent program committee for your Special Session (SS-PC). 2. Assign 3 reviewers through SS-PC to each submitted paper. 3. Arrange a draft of peer-reviewed result for each paper, and suggest it to the program co-chairs and special session co-chairs (the final judgment is achieved by program co-chairs). If a proposal is not accepted, potential papers in that proposal can still be submitted to regular track. If a significant number of the papers are rejected after peer-review for an approved Special Session, this Special Session may be cancelled or merged to other sessions. Those who are interested in organizing a special session should submit a proposal with the above requirements by email to the Special Session co-chairs [special-session-chairs(a)mipr2021.org] and all the papers in the special sessions should follow the same style as the regular MIPR 2021 papers. **Important Dates** * Proposal deadline: September 4, 2020 * Proposal notification: September 11, 2020 * Paper deadline: November 6, 2020 * Notification: December 25, 2020 * Camera-ready deadline: January 8, 2021 ============================================================ *Conference Organizing Committee* ============================================================ Honorary Co-Chairs: Hiroyuki Kitagawa, University of Tsukuba, Japan Kiyoharu Aizawa, The University of Tokyo, Japan Shin'ichi Satoh, National Institute of Informatics, Japan Shu-Ching Chen, Florida International University, USA General Co-Chairs: Benoit Huet, Median Technologies, France Jianquan Liu, NEC Corporation, Japan Keiji Yanai, The University of Electro-Communications, Japan Program Co-Chairs: Naoko Nitta, Osaka University, Japan Shuqiang Jiang, Chinese Academy of Sciences, China Toshihiko Yamasaki, The University of Tokyo, Japan Vincent Oria, New Jersey Institute of Technology, USA Special Session Co-Chairs: Kyoung-Sook Kim, National Institute of Advanced Industrial Science and Technology, Japan Lin Li, Wuhan University of Technology, China Tomoko Kajiyama, Hiroshima City University, Japan Workshop Co-Chairs: Jiaying Liu, Peking University, China Masakazu Iwamura, Osaka Prefecture University, Japan Pradeep K. Atrey, University at Albany, SUNY, USA Tutorial Co-Chairs: Chengcui Zhang, The University of Alabama at Birmingham, USA Go Irie, NTT, Japan Roger Zimmermann, National University of Singapore, Singapore Zheng Wang, National Institute of Informatics, Japan Demo Co-Chairs: Hideki Nakayama, The University of Tokyo, Japan Qiang Ma, Kyoto University, Japan Ramazan Savas Aygun, Kennesaw State University, USA Poster Co-Chairs: Terumi Umematsu, NEC Corporation, Japan Yoko Yamakata, The University of Tokyo, Japan Award Committee Co-Chairs: Homer Chen, National Taiwan University, Taiwan Mei-Ling Shyu, University of Miami, USA Mohan Kankanhalli, National University of Singapore, Singapore Sponsorship & Industry Co-Chairs: Atsushi Keyaki, Denso IT Labs, Japan Guan-Ming Su, Dolby Labs, USA Min Luo, EY Advanced Technology Tax Lab, Japan Yoji Kiyota, LIFULL Co., Ltd., Japan Yongqing Sun, NTT, Japan Yusuke Uchida, Mobility Technologies Co., Ltd., Japan Publicity Co-Chairs: Abdulmotaleb El Saddik, University of Ottawa, Canada Balakrishnan Prabhakaran, University of Texas at Dallas, USA Cathal Gurrin, Dublin City University, Irland Chong-Wah Ngo, City University of Hong Kong, Hong Kong Hisashi Miyamori, Kyoto Sangyo University, Japan Ichiro Ide, Nagoya University, Japan Kien A. Hua, University of Central Florida, USA Ling Guan, Ryerson University, Canada Makoto Onizuka, Osaka University, Japan Min Chen, University of Washington Bothell, USA Toshiyuki Amagasa, University of Tsukuba, Japan Wen-Huang Cheng, National Chiao Tung University, Taiwan Local Arrangement Co-Chairs: Xueting Wang, The University of Tokyo, Japan Yusuke Matsui, The University of Tokyo, Japan Publication Co-Chairs: Atsushi Hashimoto, OMRON SINIC X Corporation, Japan Masato Shirai, Shimane University, Japan Finance Co-Chairs: Shigeyuki Sakazawa, Osaka Institute of Technology, Japan Wei-Bang Chen, Virginia State University, USA Registration Co-Chairs: Nakamasa Inoue, Tokyo Institute of Technology, Japan Yuyang Dong, NEC Corporation, Japan Web & SNS Co-Chairs: Takahiro Komamizu (Web), Nagoya University, Japan Yuanyuan Wang (SNS), Yamaguchi University, Japan ============================================================ *CONTACT* ============================================================ If you have any questions, please try to contact us by the following mailing list. [question(a)mipr2021.org] ============================================================ -- Hisashi Miyamori <miya(a)cc.kyoto-su.ac.jp>

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研究員公募2件（筑波大学大学院図書館情報メディア研究科）
by Adam 28 Aug '20

28 Aug '20

日本データベース学会の皆様筑波大学大学院図書館情報メディア研究科于研究室では、研究員またはポスドク（職務内容：大規模知識グラフの構築・情報検索、ヒューマンコンピュータインタラクションなどにおける知識グラフの応用開発）を募集します。詳細は以下をご覧ください。 https://jrecin.jst.go.jp/seek/SeekJorDetail?fn=1&ln=1&id=D120081074&ln_jor=1 https://jrecin.jst.go.jp/seek/SeekJorDetail?fn=1&id=D120081074&ln_jor=0 公募締切は2020年9月21日(月)です。どうぞよろしくお願いいたします。

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DBS/IFAT/DE合同研究会(9/5)参加者募集
by Kaoru Katayama 24 Aug '20

24 Aug '20

日本データベース学会の皆様都立大の片山です。情報処理学会DBS研、IFAT研、電子情報通信学会DE研の合同研究会(9月5日(土))は、新型コロナウイルス感染症の情勢を鑑み、現地開催を中止しZoomを使用してのオンライン開催となりました。今回はプログラムの最初(13:20〜14:00)に、北川博之先生(筑波大学)の情報処理学会 CS領域功績賞・奨励賞授賞式およびCS領域功績賞受賞記念講演(オンライン)が予定されており、多くの方にご参加頂ければと考えております。 DBS/IFAT https://www.ipsj.or.jp/kenkyukai/event/dbs171ifat140.html DE https://www.ieice.org/ken/program/index.php?tgid=IEICE-DE どうぞよろしくお願い致します。 ========================================================================= 情報処理学会第171回データベースシステム研究会（SIG-DBS）情報処理学会第140回情報基礎とアクセス技術研究会（SIG-IFAT）電子情報通信学会データ工学研究会（DE）合同研究会開催のご案内 ========================================================================= 【日　　程】2020年9月5日（土）（VLDB2020と連続開催）【場　　所】オンライン開催【プログラム】 ■セッション1: 招待講演 (13:20-14:00) (1) 情報処理学会CS領域功績賞・奨励賞授賞式およびCS領域功績賞受賞記念講演 Computing as a Scienceを担うデータベース研究北川博之（筑波大学） ■セッション2: 一般講演 (14:10-15:40) (2) [IFAT]単語埋め込みと名詞句の共起グラフを用いた教師なしキーフレーズ抽出手法の提案 ○木村優介(同志社大学)・楠和馬(同志社大学)・寺本優香(文化遺産情報科学調査研究センター)・波多野賢治(同志社大学) (3) [DBS]データの性質を用いた分類性能予測に関する検討 ○鳴海雄登(公立はこだて未来大学)・新美礼彦(公立はこだて未来大学) (4) [DE] 木分解と木文法圧縮を利用したグラフ圧縮法および圧縮データへの直接問合せ処理法の提案と評価 ○小島和之・関　浩之（名大） ■セッション3: 一般講演 (15:50-17:20) (5) [DE] 不揮発メモリデバイスの性能評価のためのマイクロベンチマークに関する初期検討 ○吉岡弘隆・合田和生・喜連川優（東大） (6) [DE] クチコミのジオリファレンスを用いた地域における特徴語の抽出 ○柿本航太郎・井嶋　蒼・横山昌平（都立大） (7) [DE] 手順のレシピ頻度特徴量とLexRankに基づくアレンジ抽出手法 ○大仁田龍也・北山大輔（工学院大）【参加費】以下のサイトをご覧ください。・DBS/IFAT： https://www.ipsj.or.jp/kenkyukai/event/dbs171ifat140.html ・DE： https://www.ieice.org/ken/program/index.php?tgid=IEICE-DE 【お問合せ先（AT を @ に置換えて下さい）】・DBS：片山薫（東京都立大学）<kaoru AT tmu.ac.jp> ・IFAT：熊野正（NHK放送技術研究所）<kumano.t-eq AT nhk.or.jp> ・DE：吉田尚史（駒沢大学）<naofumi AT komazawa-u.ac.jp>

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