Integration of Exploration and Search: A Case Study of the M $$^3$$ Model

Gíslason, Snorri; Jónsson, Björn Þór; Amsaleg, Laurent

doi:10.1007/978-3-030-05710-7_13

Cited by 2 publications

(2 citation statements)

References 13 publications

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“…The ViRMA [19] prototype system employs a novel VR interaction approach by utilizing the M 3 data model [23], which takes the media objects from the VBS dataset and maps them into a multidimensional media space based on their metadata. Users can then visualize the video data by filtering and dynamically projecting the multidimensional media space to the more familiar 3D space and then can explore this visualization using virtual reality [19].…”

Section: Othermentioning

confidence: 99%

Interactive video retrieval in the age of effective joint embedding deep models: lessons from the 11th VBS

Lokoč,

Andreadis,

Bailer

et al. 2023

Multimedia Systems

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This paper presents the findings of the eleventh Video Browser Showdown competition, where sixteen teams competed in known-item and ad-hoc search tasks. Many of the teams utilized state-of-the-art video retrieval approaches that demonstrated high effectiveness in challenging search scenarios. In the paper, a broad survey of all utilized approaches is presented in connection with an analysis of the performance of participating teams. Specifically, both high-level performance indicators are presented with overall statistics as well as an in-depth analysis of the performance of selected tools implementing result set logging. The analysis reveals evidence that the CLIP model represents a versatile tool for cross-modal video retrieval when combined with interactive search capabilities. Furthermore, the analysis investigates the effect of different users and text query properties on the performance in search tasks. Last but not least, lessons learned from search task preparation are presented, and a new direction for adhoc search based tasks at Video Browser Showdown is introduced.

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Section: Othermentioning

confidence: 99%

Interactive video retrieval in the age of effective joint embedding deep models: lessons from the 11th VBS

Lokoč,

Andreadis,

Bailer

et al. 2023

Multimedia Systems

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“…The foundation for the ViRMA prototype is the M 3 model [1] which is in turn based on the merging of concepts from business intelligence, such as analytical processing (OLAP), multidimensional analysis (MDA), and faceted browsing. ViRMA intends to utilise a visualisation paradigm which relies explicitly on the effective representation of multimedia data in 3D virtual space.…”

Section: Introductionmentioning

confidence: 99%

ViRMA: Virtual Reality Multimedia Analytics at Video Browser Showdown 2022

Duane

Jónsson

2022

MultiMedia Modeling

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In this paper we describe the first iteration of the ViRMA prototype system, a novel approach to multimedia analysis in virtual reality, that is inspired by the M 3 data model. In this model, media is mapped into a multidimensional space, based on its metadata. ViRMA users can then interact with the media collection by dynamically projecting the metadata space to the 3D virtual space, through a variety of interactions, and exploring the resulting visualisations.

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Integration of Exploration and Search: A Case Study of the M $$^3$$ Model

Cited by 2 publications

References 13 publications

Interactive video retrieval in the age of effective joint embedding deep models: lessons from the 11th VBS

Interactive video retrieval in the age of effective joint embedding deep models: lessons from the 11th VBS

ViRMA: Virtual Reality Multimedia Analytics at Video Browser Showdown 2022

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