About

Enschede - UT. foto’s facultieti HMI. Foto: Rikkert Harink  RH20180305Roeland Ordelman is an expert in audiovisual access technology and cross-media search & recommendation concepts. He has a background in research, audiovisual archiving and industry, and is a well-experienced project manager and team leader.

At the Netherlands Institute for Sound and Vision, one of the largest audiovisual archives in Europe, his work focuses on innovative products that can be brought from R&D into production, either at the institute or related areas. As a Principal Investigator on Language, Speech and Multimedia Retrieval at the University of Twente, his focus is on more fundamental topics related to speech technology, conversational search and multimedia search & recommendation technology.

He received his PhD in 2003 on the use of speech recognition technology to improve access to audiovisual archives and worked on a wide range of national and international projects in the area of multimedia retrieval. He has been involved in organizing benchmark evaluations in the MediaEval Benchmark Evaluation Series and more recently TRECVid. His current work in this area focuses on the integration of (user) evaluation and benchmarking in the context of ‘living labs’: research infrastructures that involve industry, research and user communities for mutual benefit.

MUSIC: For many years, Roeland has been producing music as Grafton Music, check out his Spotify album, Facebook page, YouTube video’s, and Bandcamp page.

Current projects:

CLARIAH PLUS (2019-2023) — Technical coordinator of the Media Suite, developed at Netherlands Institute for Sound and Vision.

CLARIAH (2014-2018) — Technical coordinator of the Media Suite, developed at Netherlands Institute for Sound and Vision.

 

Past projects:

Face Interaction (2018) — Lead of a pilot project (LAB) that investigated the use of face recognition as an interaction mechanism for visitors of a Museum.

Feit & Fictie (2017) —  Lead of project funded by Stimuleringsfonds voor de Journalistiek that developed a content-based archival video recommendation application for journalists browsing the internet.

Open-source Speech Recognition for Dutch (2016-2018) — Lead of project funded by Netherlands Institute for Sound and Vision, Dutch National Police and CLARIAH to make a high-quality open-source Dutch speech recognition system available for R&D purposes.

Trecvid Video Hyperlinking (2016-2017) — Coordinator of the Video Hyperlinking Benchmark Evaluation run at National Institute for Standards and Technology (NIST) in the US.

Trecvid Video Hyperlinking (2015-2016) — Coordinator of the Video Hyperlinking Benchmark Evaluation run at National Institute for Standards and Technology (NIST) in the US.

FP7-AXES (2011-2015)

Verteld Verleden

COMMIT – Infiniti

FP6 Media Campaign (2006-2008)

FP6 MESH (2006-2009)

NWO CHORAL (2006-2012)

NWO CATCH(PLUS) (2004-2012)

FP6 AMIDA (2006-2009)

FP6 AMI (2003-2006)

FP5 ECHO (2002-2004)

MultimediaN (2000-2003)

Waterland (2000) — Project on deploying speech recognition for media search applications with public broadcasters.

NWO DRUID (1998-2000) — Document Retrieval Using Intelligent Disclosure. My first project during my PhD research focussing on speech recognition as a tool for audiovisual search. The project description: “Retrieval of information from large text corpora has become a mature science in the last years. Nowadays one can search for information with “natural” question phrases which will result in lists of documents that deal with the relevant topic, also if they do not literally contain the words of the query. What remains a problem, though, is that much of the relevant information is not available in a written format, but only as sound (speech) or image. In order to make this information retrievable, audio and/or video fragments have to be transformed into some kind of textual representation. This transformation is the central topic of the DRUID project.”

 

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