We received the Best Paper Award for the results presented at the Symposium on Multimedia, Distributed, Cooperative and Mobile (DICOMO2021).
We received the Best Paper Award for the results presented at the Symposium on Multimedia, Distributed, Cooperative and Mobile (DICOMO2021).
@conference{加藤慎2020,
title = {再帰的記述を可能とする映像音声メディア・オントロジー},
author = {加藤慎 and 曽根卓朗 and 塚田学 and 江崎浩},
url = {https://tlab.hongo.wide.ad.jp/papers/kato_dicomo2020.pdf},
year = {2020},
date = {2020-06-24},
urldate = {2020-06-24},
booktitle = {マルチメディア,分散,協調とモバイル(DICOMO2020)シンポジウム},
address = {高知県安芸郡},
abstract = {著者らが所属する SDM (Software Defined Media) コンソーシアムでは,2016 年より三次元映像音声 メディアを管理するためのプラットフォームとして SDM Ontology の提案を進めてきた.SDM Ontology は,メディアデータとともに様々な種類・粒度,かつ,膨大な量のメタデータを階層構造に整理して管理可 能とする.従来の提案は,収録段階についての記述に焦点を当てた設計となっており,収録されたメディ アデータの編集段階まで考慮していなかったため,編集作業に用いられるソフトウェアやミキサーなどの メディアプロセッサの情報を記述するための構造がなかった.また,メディア収録の情報は静的である一 方で,メディアの編集作業は収録されたデータや編集されたデータをもとに繰り返しおこなわれることも 多く,一般に動的といえるため従来設計では対応しきれない.このような問題を踏まえ,本稿では SDM Ontology の構造について整理し直し,修正を加えるとともに,動的構造を表現するために再帰的記述を導 入し,メディアの収録・編集について記述可能な SDM Ontology Version 2.0 を提案する.},
note = {優秀プレゼンテーション賞},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
We’re thrilled to share the exciting news that we’re set to make a significant impact at the upcoming 26th IEEE International Conference on Intelligent Transportation Systems (ITSC 2023). Five of our research submissions have been accepted for presentation at this prestigious event, taking place from 24th to 28th September in Bilbao, Spain. ITSC, sponsored by the IEEE Intelligent Transportation Systems Society, is an annual flagship event that brings together scholars, industry experts, and enthusiasts from around the world. The conference serves as a platform for presenting new developments in theory, analytical and numerical simulation and modeling, experimentation, advanced deployment, and case studies in the Intelligent Transportation Systems (ITS) domain. EachRead more
We’re thrilled to announce the publication of our research paper, “AutowareV2X: Reliable V2X Communication and Collective Perception for Autonomous Driving,” authored by our dedicated team at the University Lab: Yu Asabe, Ehsan Javanmardi, Jin Nakazato, Manabu Tsukada, and Hiroshi Esaki. The paper is accepted by the prestigious 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), taking place in Florence, Italy, from 20-23 June 2023. The paper explores the application of vehicle-to-everything (V2X) communication for cooperative intelligent transport systems (C-ITS). We introduce AutowareV2X, a novel V2X communication module integrated into the Autoware autonomous driving software. With features like the Collective Perception Service and a dual-channel mechanism, the module enhances road safety andRead more
We are part of the University of Tokyo’s Graduate School of Information Science and Technology, Department of Creative Informatics and focuses on computer networks and cyber-physical systems
4F, I-REF building, Graduate School of Information Science and Technology, The University of Tokyo, 1-1-1, Yayoi, Bunkyo-ku, Tokyo, 113-8657 Japan (Contact)