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Generating Adjacency Matrix for Video Relocalization

2020-08-19 · Yuan Zhou, Mingfei Wang, Ruolin Wang, Shuwei Huo

In this paper, we continue our work on video relocalization task. Based on using graph convolution to extract intra-video and inter-video frame features, we improve the method by using similarity-metric based graph convolution, whose weighted adjacency matrix is achieved by calculating similarity metric between features of any two different time steps in the graph. Experiments on ActivityNet v1.2 and Thumos14 dataset show the effectiveness of this improvement, and it outperforms the state-of-the-art methods.

📄 PDF Abstract BibTeX arXiv:2008.08977

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Moment Retrieval

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Convolution A convolution is a type of matrix operation, consisting of a kernel, a small matrix of weights, that slides over input data performing element-wise multiplication with the…

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