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Media fragment indexing using social media

Media fragment indexing using social media
Media fragment indexing using social media
With more and more video resources shared on the Web, the practice of sharing a video object from a certain time point (deep-linking) has been implemented by many video sharing platforms. With so many media fragments created, annotated and shared, however, indexing video objects on a fine-grained level on the Web scale is still not implemented by major search engines. To solve this problem, this paper proposes Twitter Media Fragment Indexer, which monitors the Tweet text and uses the embedded URLs pointing to video fragments as the media to create index for media fragments. In this paper, we show a preliminary evaluation that thousands of media fragments can be successfully indexed using this system. We are planning to expand the indexer in a larger scale and prove that millions of media fragments can be indexed by major search engines in this way.
Li, Yunjia
3a0d988e-b5e3-43c9-a268-dc14b5313547
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
Troncy, Raphael
c8dad007-f619-4533-9b0a-0b278a9c9828
Wald, Mike
90577cfd-35ae-4e4a-9422-5acffecd89d5
Wills, Gary
3a594558-6921-4e82-8098-38cd8d4e8aa0

Li, Yunjia, Troncy, Raphael, Wald, Mike and Wills, Gary (2014) Media fragment indexing using social media. At 2nd International Workshop on Linked Media (LiME2014) 2nd International Workshop on Linked Media (LiME2014), Greece. 25 May 2014. 14 pp.

Record type: Conference or Workshop Item (Paper)

Abstract

With more and more video resources shared on the Web, the practice of sharing a video object from a certain time point (deep-linking) has been implemented by many video sharing platforms. With so many media fragments created, annotated and shared, however, indexing video objects on a fine-grained level on the Web scale is still not implemented by major search engines. To solve this problem, this paper proposes Twitter Media Fragment Indexer, which monitors the Tweet text and uses the embedded URLs pointing to video fragments as the media to create index for media fragments. In this paper, we show a preliminary evaluation that thousands of media fragments can be successfully indexed using this system. We are planning to expand the indexer in a larger scale and prove that millions of media fragments can be indexed by major search engines in this way.

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More information

Published date: 25 May 2014
Venue - Dates: 2nd International Workshop on Linked Media (LiME2014), Greece, 2014-05-25 - 2014-05-25
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 369999
URI: https://eprints.soton.ac.uk/id/eprint/369999
PURE UUID: f75caa7d-b20a-48e4-b874-95549a82165d
ORCID for Gary Wills: ORCID iD orcid.org/0000-0001-5771-4088

Catalogue record

Date deposited: 17 Oct 2014 14:50
Last modified: 06 Jun 2018 13:03

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