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Creating enriched YouTube media fragments With NERD using timed-text

Creating enriched YouTube media fragments With NERD using timed-text
Creating enriched YouTube media fragments With NERD using timed-text
This demo enables the automatic creation of semantically annotated YouTube media fragments. A video is first ingested in the Synote system and a new method enables to retrieve its associated subtitles or closed captions. Next, NERD is used to extract named entities from the transcripts which are then temporally aligned with the video. The entities are disambiguated in the LOD cloud and a user interface enables to browse through the entities detected in a video or get more information. We evaluated our application with 60 videos from 3 YouTube channels.
media fragment, media annotation, NERD
Li, Yunjia
3a0d988e-b5e3-43c9-a268-dc14b5313547
Rizzo, Giuseppe
f19ab8da-0fbc-41df-97eb-bc8caa58893c
Troncy, Raphael
c8dad007-f619-4533-9b0a-0b278a9c9828
Wald, Mike
90577cfd-35ae-4e4a-9422-5acffecd89d5
Wills, Gary
3a594558-6921-4e82-8098-38cd8d4e8aa0
Li, Yunjia
3a0d988e-b5e3-43c9-a268-dc14b5313547
Rizzo, Giuseppe
f19ab8da-0fbc-41df-97eb-bc8caa58893c
Troncy, Raphael
c8dad007-f619-4533-9b0a-0b278a9c9828
Wald, Mike
90577cfd-35ae-4e4a-9422-5acffecd89d5
Wills, Gary
3a594558-6921-4e82-8098-38cd8d4e8aa0

Li, Yunjia, Rizzo, Giuseppe, Troncy, Raphael, Wald, Mike and Wills, Gary (2012) Creating enriched YouTube media fragments With NERD using timed-text. 11th International Semantic Web Conference (ISWC2012), Boston, United States. 11 - 15 Nov 2012. 4 pp .

Record type: Conference or Workshop Item (Poster)

Abstract

This demo enables the automatic creation of semantically annotated YouTube media fragments. A video is first ingested in the Synote system and a new method enables to retrieve its associated subtitles or closed captions. Next, NERD is used to extract named entities from the transcripts which are then temporally aligned with the video. The entities are disambiguated in the LOD cloud and a user interface enables to browse through the entities detected in a video or get more information. We evaluated our application with 60 videos from 3 YouTube channels.

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More information

Published date: November 2012
Venue - Dates: 11th International Semantic Web Conference (ISWC2012), Boston, United States, 2012-11-11 - 2012-11-15
Keywords: media fragment, media annotation, NERD
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 342577
URI: http://eprints.soton.ac.uk/id/eprint/342577
PURE UUID: b59cae35-4b56-4ad2-9261-837650865fad
ORCID for Gary Wills: ORCID iD orcid.org/0000-0001-5771-4088

Catalogue record

Date deposited: 10 Sep 2012 13:44
Last modified: 15 Mar 2024 02:51

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Contributors

Author: Yunjia Li
Author: Giuseppe Rizzo
Author: Raphael Troncy
Author: Mike Wald
Author: Gary Wills ORCID iD

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