Abstract
Video highlight detection, or wonderful clip localization, aims at automatically discovering interesting clips in untrimmed videos, which can be applied to a variety of scenarios in real world. With reference to its study, a video dataset of Wonderful Clips of Playing Basketball (WCPB) is developed in this work. The Segment-Convolutional Neural Network (S-CNN), a start-of-the-art model for temporal action localization, is adopted to localize wonderful clips and a two-stream S-CNN is designed which outperforms its former on WCPB. The WCPB dataset presents the specific meaning of wonderful clips and annotations in playing basketball and enables the measurement of performance and progress in other realistic scenarios.
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CITATION STYLE
Li, Q., Chen, L., Wang, H., & Liu, X. (2020). Wonderful clips of playing basketball: A database for localizing wonderful actions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11961 LNCS, pp. 445–454). Springer. https://doi.org/10.1007/978-3-030-37731-1_36
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