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New dataset USV targets user-generated short-form video understanding

Researchers have introduced USV, a new dataset comprising approximately 224,000 user-generated short-form videos. This dataset is designed to advance the understanding of high-level semantic information in videos, moving beyond instance-level recognition. To facilitate research, the paper also establishes topic recognition and video-text retrieval tasks on USV, proposing baseline methods like MMF-Net and VTCL. AI

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IMPACT Introduces a new dataset and baseline methods to advance research in understanding user-generated short-form videos.

RANK_REASON The cluster contains an academic paper introducing a new dataset and methods for video understanding. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

New dataset USV targets user-generated short-form video understanding

COVERAGE [1]

  1. arXiv cs.AI TIER_1 · Limin Wang ·

    USV: Towards Understanding the User-generated Short-form Videos

    Several large-scale video datasets have been published these years and have advanced the area of video understanding. However, the newly emerged user-generated short-form videos have rarely been studied. This paper presents USV, the User-generated Short-form Video dataset for hig…