Intelligent browsing of concert videos

Naci, Suphi Umut; Hanjalic, Alan

doi:10.1145/1291233.1291264

Cited by 9 publications

(9 citation statements)

References 2 publications

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“…Saini et al [53] go a step further by incorporating history-based diversity measurement, state-based video editing rules, and view quality in automated video mashup generations. Naci and Hanjalic [71] report on a video interaction environment for browsing records in music concerts, in which the underlying automatic analyzer extracts the instrumental solos and applause sections in the concert videos, and also the level of excitement along the performances. Lately, crowdsourcing has been proven to be a good ally for content analysis.…”

Section: Community Video Mashups and Content Repurposingmentioning

confidence: 99%

Socially-aware multimedia authoring

Bulterman

César

Guimarães

2013

ACM Trans. Multimedia Comput. Commun. Appl.

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Creating compelling multimedia productions is a nontrivial task. This is as true for creating professional content as it is for nonprofessional editors. During the past 20 years, authoring networked content has been a part of the research agenda of the multimedia community. Unfortunately, authoring has been seen as an initial enterprise that occurs before ‘real’ content processing takes place. This limits the options open to authors and to viewers of rich multimedia content for creating and receiving focused, highly personal media presentations. This article reflects on the history of multimedia authoring. We focus on the particular task of supporting socially-aware multimedia , in which the relationships within particular social groups among authors and viewers can be exploited to create highly personal media experiences. We provide an overview of the requirements and characteristics of socially-aware multimedia authoring within the context of exploiting community content. We continue with a short historical perspective on authoring support for these types of situations. We then present an overview of a current system for supporting socially-aware multimedia authoring within the community content. We conclude with a discussion of the issues that we feel can provide a fruitful basis for future multimedia authoring support. We argue that providing support for socially-aware multimedia authoring can have a profound impact on the nature and architecture of the entire multimedia information processing pipeline.

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Section: Community Video Mashups and Content Repurposingmentioning

confidence: 99%

Socially-aware multimedia authoring

Bulterman

César

Guimarães

2013

ACM Trans. Multimedia Comput. Commun. Appl.

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“…We have tested a method, described in [10], to detect audio concepts such as noise, music and silence, but the results are not reliable enough for being applied in mashup generation. State-ofthe-art techniques used for audio-video concept detection in concerts, such as [11,12], show that the problem is highly content dependent and there are too many possible concepts to address in a mashup. Due to the non-availability of a reliable solution, the semantic suitability requirement is not implemented in our system.…”

Section: Mashup Generation As Optimization Problemmentioning

confidence: 99%

“…Given the synchronized multi-cam recordings, the mashup generation problem can be formulated as to maximize: (12) subject to: ∀j ∈ [1, . .…”

Section: Optimizationmentioning

confidence: 99%

“…In practice, when no other recordings are available, we allow mashups to contain segments longer than dmax. If there is more than one candidate segment, then each of them is evaluated according to the parameters given in the objective function given in Equation (12). The candidate segment corresponding to the highest score is selected as a mashup segment.…”

Section: First-fit Algorithmmentioning

confidence: 99%

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Automatic mashup generation from multiple-camera concert recordings

Shrestha

Weda

Barbieri

et al. 2010

Proceedings of the 18th ACM International Conference on Multimedia

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A large number of videos are captured and shared by the audience from musical concerts. However, such recordings are typically perceived as boring mainly because of their limited view, poor visual quality and incomplete coverage. It is our objective to enrich the viewing experience of these recordings by exploiting the abundance of content from multiple sources. In this paper, we propose a novel Virtual Director system that automatically combines the most desirable segments from different recordings resulting in a single video stream, called mashup. We start by eliciting requirements from focus groups, interviewing professional video editors and consulting film grammar literature. We design a formal model for automatic mashup generation based on maximizing the degree of fulfillment of the requirements. Various audio-visual content analysis techniques are used to determine how well the requirements are satisfied by a recording. To validate the system, we compare our mashups with two other mashups: manually created by a professional video editor and machine generated by random segment selection. The mashups are evaluated in terms of visual quality, content diversity and pleasantness by 40 subjects. The results show that our mashups and the manual mashups are perceived as comparable, while both of them are significantly higher than the random mashups in all three terms.

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“…Our online search engine allows to retrieve fragments from forty years of rock n' roll video footage recorded during the festival, which was previously only available in an offline archive of digital cultural heritage. Different from existing work on concert video retrieval, which emphasizes visual concept detection [10], browsing [3,8], or user-generated content organization [7], we consider the integrated usage of multimedia retrieval technology coupled with a simple, intuitive, and easy to use crowdsourcing mechanism the main contribution of this work.…”

Section: Introductionmentioning

confidence: 99%

Crowdsourcing rock n' roll multimedia retrieval

Snoek

Freiburg²,

Oomen

et al. 2010

Proceedings of the 18th ACM International Conference on Multimedia

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In this technical demonstration, we showcase a multimedia search engine that facilitates semantic access to archival rock n' roll concert video. The key novelty is the crowdsourcing mechanism, which relies on online users to improve, extend, and share, automatically detected results in video fragments using an advanced timeline-based video player. The userfeedback serves as valuable input to further improve automated multimedia retrieval results, such as automatically detected concepts and automatically transcribed interviews. The search engine has been operational online to harvest valuable feedback from rock n' roll enthusiasts.

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Intelligent browsing of concert videos

Cited by 9 publications

References 2 publications

Socially-aware multimedia authoring

Socially-aware multimedia authoring

Automatic mashup generation from multiple-camera concert recordings

Crowdsourcing rock n' roll multimedia retrieval

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