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Knowledge Guided Entity-aware Video Captioning and A Basketball Benchmark
Feb. 29, 2024, 5:46 a.m. | Zeyu Xi, Ge Shi, Xuefen Li, Junchi Yan, Zun Li, Lifang Wu, Zilin Liu, Liang Wang
cs.CV updates on arXiv.org arxiv.org
Abstract: Despite the recent emergence of video captioning models, how to generate the text description with specific entity names and fine-grained actions is far from being solved, which however has great applications such as basketball live text broadcast. In this paper, a new multimodal knowledge graph supported basketball benchmark for video captioning is proposed. Specifically, we construct a multimodal basketball game knowledge graph (KG_NBA_2022) to provide additional knowledge beyond videos. Then, a multimodal basketball game video …
abstract applications arxiv basketball benchmark broadcast captioning cs.cv emergence fine-grained generate graph knowledge knowledge graph multimodal new multimodal paper text type video
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