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IRISA at TrecVid2015: Leveraging Multimodal LDA for Video Hyperlinking

Abstract : This paper presents the runs that we submitted in the context of the TRECVid 2015 Video Hyperlinking task. The task aims at proposing a set of video segments, called targets, to complement a query video segment defined as anchor. We used automatic transcripts and automatically extracted visual concept as input data. Two out of four runs use cross-modal LDA as a means to jointly make use of visual and audio information in the videos. As a contrast, one is based solely on visual information, and a combination of the cross-modal and visual runs is considered. After presenting the approaches, we discuss the performance obtained by the respective runs, as well as some of the limitations of the evaluation process.
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Submitted on : Sunday, November 27, 2016 - 2:11:49 PM
Last modification on : Wednesday, February 2, 2022 - 3:50:39 PM
Long-term archiving on: : Tuesday, March 21, 2017 - 10:06:22 AM


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  • HAL Id : hal-01403726, version 1


Anca-Roxana Simon, Ronan Sicre, Rémi Bois, Guillaume Gravier, Pascale Sébillot. IRISA at TrecVid2015: Leveraging Multimodal LDA for Video Hyperlinking. TRECVid 2015 Workshop, Nov 2015, Gaithersburg, United States. ⟨hal-01403726⟩



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