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http://hdl.handle.net/1942/31479
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DC Field | Value | Language |
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dc.contributor.author | Bailer, Werner | - |
dc.contributor.author | WIJNANTS, Maarten | - |
dc.contributor.author | LIEVENS, Hendrik | - |
dc.contributor.author | Claes, Sandy | - |
dc.date.accessioned | 2020-07-28T09:34:00Z | - |
dc.date.available | 2020-07-28T09:34:00Z | - |
dc.date.issued | 2020 | - |
dc.date.submitted | 2020-07-14T12:16:40Z | - |
dc.identifier.citation | Lecture Notes in Computer Science, 11962, p. 375 -387 | - |
dc.identifier.isbn | 9783030377335 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | http://hdl.handle.net/1942/31479 | - |
dc.description.abstract | The emergence of audio streaming services and evolved listening habits notwithstanding, broadcast radio is still a popular medium that plays an important role in contemporary users' media consumption mix. While ra-dio's strength has traditionally lain in the shared live experience that it enables, radio shows are nowadays much more than just a linear broadcast feed: they are about user engagement and interaction over a amalgam of communication channels. Producing interactive radio programs in a cost-effective way thus requires understanding and indexing a large set of multimedia content, not just audio data (but also e.g., text, user-generated content, web resources). This position paper discusses a number of open challenges and opportunities with respect to the application of multimedia analytics in interactive radio production that need to be addressed in order to facilitate content creation at scale. Our work aims to support the future evolution of (interactive) radio, this way helping the radio medium to stay relevant in an ever-changing media ecosystem. | - |
dc.language.iso | en | - |
dc.publisher | SPRINGER INTERNATIONAL PUBLISHING AG | - |
dc.relation.ispartofseries | Lecture Notes in Computer Science | - |
dc.rights | Authors of original research papers published by Springer Nature are encouraged to submit the author's version of the accepted, peer-reviewed manuscript to their relevant funding body's archive, for release twelve months after publication. In addition, authors are encouraged to archive their version of the manuscript in their institution's repositories (as well as their personal Web sites), also twelve months after publication of the printed or online edition of the Journal, provided that they also link to the contribution on the publisher’s website. Please check your License to Publish or Copyright Transfer Statement for specific details. Use on any other websites is not permitted. | - |
dc.subject.other | radio production | - |
dc.subject.other | interactivity | - |
dc.subject.other | automatic content annotation | - |
dc.subject.other | content structuring | - |
dc.subject.other | summarization | - |
dc.subject.other | context | - |
dc.subject.other | adaptation | - |
dc.subject.other | personalization | - |
dc.subject.other | user-generated content | - |
dc.title | Multimedia Analytics Challenges and Opportunities for Creating Interactive Radio Content | - |
dc.type | Proceedings Paper | - |
local.bibliographicCitation.conferencedate | January 5-8, 2020 | - |
local.bibliographicCitation.conferencename | The 26th International Conference on Multimedia Modeling (MMM '20) | - |
local.bibliographicCitation.conferenceplace | Daejeon, Korea | - |
dc.identifier.epage | 387 | - |
dc.identifier.spage | 375 | - |
dc.identifier.volume | 11962 | - |
local.bibliographicCitation.jcat | C1 | - |
local.publisher.place | GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND | - |
local.type.refereed | Refereed | - |
local.type.specified | Proceedings Paper | - |
local.relation.ispartofseriesnr | 11962 | - |
dc.identifier.doi | 10.1007/978-3-030-37734-2_31 | - |
dc.identifier.isi | WOS:000611566100031 | - |
local.provider.type | - | |
local.bibliographicCitation.btitle | Lecture Notes in Computer Science | - |
local.uhasselt.uhpub | yes | - |
local.uhasselt.international | yes | - |
item.fullcitation | Bailer, Werner; WIJNANTS, Maarten; LIEVENS, Hendrik & Claes, Sandy (2020) Multimedia Analytics Challenges and Opportunities for Creating Interactive Radio Content. In: Lecture Notes in Computer Science, 11962, p. 375 -387. | - |
item.contributor | Bailer, Werner | - |
item.contributor | WIJNANTS, Maarten | - |
item.contributor | LIEVENS, Hendrik | - |
item.contributor | Claes, Sandy | - |
item.validation | ecoom 2022 | - |
item.accessRights | Open Access | - |
item.fulltext | With Fulltext | - |
crisitem.journal.issn | 0302-9743 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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Multimedia_Analytics_Challenges_for_Creating_Interactive_Radio_Content.pdf | Peer-reviewed author version | 201.39 kB | Adobe PDF | View/Open |
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