Ecole d'ingénieur et centre de recherche en Sciences du numérique

Media fragments indexing using social media

Li, Yunjia; Troncy, Raphaël; Wald, Mike; Wills, Gary

ESWC 2014, 2nd International Workshop on Linked Media (LiME 2014), May 25, 2014, Anissaras, Crete

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.

Document Bibtex

Titre:Media fragments indexing using social media
Mots Clés:media fragment, media annotation, seo, schema.org
Type:Conférence
Langue:English
Ville:Anissaras
Pays:GRÈCE
Date:
Département:Data Science
Eurecom ref:4406
Copyright: © Springer. Personal use of this material is permitted. The definitive version of this paper was published in ESWC 2014, 2nd International Workshop on Linked Media (LiME 2014), May 25, 2014, Anissaras, Crete and is available at :
Bibtex: @inproceedings{EURECOM+4406, year = {2014}, title = {{M}edia fragments indexing using social media}, author = {{L}i, {Y}unjia and {T}roncy, {R}apha{\"e}l and {W}ald, {M}ike and {W}ills, {G}ary}, booktitle = {{ESWC} 2014, 2nd {I}nternational {W}orkshop on {L}inked {M}edia ({L}i{ME} 2014), {M}ay 25, 2014, {A}nissaras, {C}rete}, address = {{A}nissaras, {GR}{\`{E}}{CE}}, month = {05}, url = {http://www.eurecom.fr/publication/4406} }
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