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Generating Adjacency Matrix for Video-Query based Video Moment Retrieval

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Document pages: 22 pages

Abstract: In this paper, we continue our work on Video-Query based Video Momentretrieval task. Based on using graph convolution to extract intra-video andinter-video frame features, we improve the method by using similarity-metricbased graph convolution, whose weighted adjacency matrix is achieved bycalculating similarity metric between features of any two different timestepsin the graph. Experiments on ActivityNet v1.2 and Thumos14 dataset shows theeffectiveness of this improvement, and it outperforms the state-of-the-artmethods.

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