Unlocking radio broadcasts

Skov, Mette; Lykke, Marianne

doi:10.1145/2362724.2362779

Cited by 2 publications

(2 citation statements)

References 11 publications

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“…Content segmentation Studies for both TV and radio content have shown that users tend to consume program segments rather than entire programs when accessing content on demand. For example, the authors of [37] report that 48% of the respondents in their study found it important to easily locate a part (or section) of a radio program. This means that content needs to be structured into semantically meaningful temporal units.…”

Section: Content Enrichmentmentioning

confidence: 99%

Multimedia Analytics Challenges and Opportunities for Creating Interactive Radio Content

Bailer

Wijnants

Lievens

et al. 2019

MultiMedia Modeling

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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 radio'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.

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Section: Content Enrichmentmentioning

confidence: 99%

Multimedia Analytics Challenges and Opportunities for Creating Interactive Radio Content

Bailer

Wijnants

Lievens

et al. 2019

MultiMedia Modeling

View full text Add to dashboard Cite

show abstract

“…Taheri-Panah and MacFarlane [2004] examine music-seeking behavior of users using questionnaires and interviews. Skov and Lykke [2012] study user needs in sound retrieval by means of user studies and surveys. Although sparse, this initial work provides a basis for expanding intent typologies beyond image and video search.…”

Section: Expanding and Consolidating Conceptual Models Of User Intentmentioning

confidence: 99%

User Intent in Multimedia Search

2016

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Today's multimedia search engines are expected to respond to queries reflecting a wide variety of information needs from users with different goals. The topical dimension (“what” the user is searching for) of these information needs is well studied; however, the intent dimension (“why” the user is searching) has received relatively less attention. Specifically, intent is the “immediate reason, purpose, or goal” that motivates a user to query a search engine. We present a thorough survey of multimedia information retrieval research directed at the problem of enabling search engines to respond to user intent. The survey begins by defining intent, including a differentiation from related, often-confused concepts. It then presents the key conceptual models of search intent. The core is an overview of intent-aware approaches that operate at each stage of the multimedia search engine pipeline (i.e., indexing, query processing, ranking). We discuss intent in conventional text-based search wherever it provides insight into multimedia search intent or intent-aware approaches. Finally, we identify and discuss the most important future challenges for intent-aware multimedia search engines. Facing these challenges will allow multimedia information retrieval to recognize and respond to user intent and, as a result, fully satisfy the information needs of users.

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Unlocking radio broadcasts

Cited by 2 publications

References 11 publications

Multimedia Analytics Challenges and Opportunities for Creating Interactive Radio Content

Multimedia Analytics Challenges and Opportunities for Creating Interactive Radio Content

User Intent in Multimedia Search

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