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Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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EmoMV dataset collection

Authors: Ha Thi Phuong Thao; Gemma Roig; Dorien Herremans;

EmoMV dataset collection

Abstract

The EmoMV dataset collection consisting of three datasets (EmoMV-A, EmoMV-B, and EmoMV-C) is constructed for affective correspondence learning between music and video modalities. This dataset collection was introduced in the paper titled "EmoMV: Affective Music-Video Correspondence Learning Datasets for Classification and Retrieval".

Keywords

Multi-task learning deep neural networks, affective audio-visual correspondence learing, emotion-based matching, affective music-video retrieval, EmoMV dataset collection, affective computing

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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