Researchers from Beijing University of Posts and Telecommunications　Report Recen t Findings in Computational Intelligence (Newsmesi:　a Dataset for Multimodal Ne ws Excerpt Segmentation and　Identification)

Robotics & Machine Learning Daily News2024，Issue(Apr.10) ：8-9.

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Researchers from Beijing University of Posts and Telecommunications　Report Recen t Findings in Computational Intelligence (Newsmesi:　a Dataset for Multimodal Ne ws Excerpt Segmentation and　Identification)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning - Com putational Intelligence is the subject ofa report. According to news reporting originating in Beijing, People’s Republic of China, by NewsRxjournalists, resea rch stated, “In complex long-term news videos, the fundamental component is the newsexcerpt which consists of many studio and interview screens. Spotting and i dentifying the correct newsexcerpt from such a complex long-term video is a cha llenging task.”

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Beijing/People’s Republic of China/Asi a/Computational　Intelligence/Machine Learning/Beijing University of Posts and Telecommunications

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2024

Robotics & Machine Learning Daily News

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Researchers from Beijing University of Posts and Telecommunications Report Recen t Findings in Computational Intelligence (Newsmesi: a Dataset for Multimodal Ne ws Excerpt Segmentation and Identification)

Researchers from Beijing University of Posts and Telecommunications Report Recen t Findings in Computational Intelligence (Newsmesi: a Dataset for Multimodal Ne ws Excerpt Segmentation and Identification)

Abstract

Key words

引用本文复制引用

出版年

Robotics & Machine Learning Daily News

Researchers from Beijing University of Posts and Telecommunications　Report Recen t Findings in Computational Intelligence (Newsmesi:　a Dataset for Multimodal Ne ws Excerpt Segmentation and　Identification)

Researchers from Beijing University of Posts and Telecommunications　Report Recen t Findings in Computational Intelligence (Newsmesi:　a Dataset for Multimodal Ne ws Excerpt Segmentation and　Identification)