SoccerNet-Caption：面向足球转播解说的密集视频字幕生成
SoccerNet-Caption: Dense Video Captioning for Soccer Broadcasts Commentaries
AI总结：
本文提出面向足球转播的单时间戳锚定密集解说字幕任务，构建含近3.7万条解说、715.9小时视频的数据集，并给出首个基准与基线。
摘要：
足球不仅仅是一项运动——它是一种超越国界、将全世界人们团结在一起的热情。从人群的呐喊到解说员的兴奋，足球比赛的每一刻都激动人心。然而，由于有如此多的比赛同时进行，球迷无法观看所有直播。主要事件的通知可以提供帮助，但缺乏现场解说的参与感，使球迷感到疏离。为满足这一需求，我们在本文中提出了一项新颖的密集视频字幕生成任务，重点是生成以单个时间戳锚定的文本解说。为支持该任务，我们还提供了一个具有挑战性的数据集，包含跨越715.9小时足球转播视频的近3.7万条带时间戳解说。此外，我们为该任务提出了首个基准和基线，强调了在时间上锚定解说的难度，同时展示了生成有意义解说的能力。通过为转播商提供一种工具，使其能够以与现场比赛同等的参与感总结视频内容，我们的方法可帮助满足众多追随球队但未必能观看直播的球迷需求。我们相信，该方法有潜力提升更广泛受众对足球内容的可访问性和理解，将比赛的兴奋带给更多人。
英文摘要：
Soccer is more than just a game - it is a passion that transcends borders and unites people worldwide. From the roar of the crowds to the excitement of the commentators, every moment of a soccer match is a thrill. Yet, with so many games happening simultaneously, fans cannot watch them all live. Notifications for main actions can help, but lack the engagement of live commentary, leaving fans feeling disconnected. To fulfill this need, we propose in this paper a novel task of dense video captioning focusing on the generation of textual commentaries anchored with single timestamps. To support this task, we additionally present a challenging dataset consisting of almost 37k timestamped commentaries across 715.9 hours of soccer broadcast videos. Additionally, we propose a first benchmark and baseline for this task, highlighting the difficulty of temporally anchoring commentaries yet showing the capacity to generate meaningful commentaries. By providing broadcasters with a tool to summarize the content of their video with the same level of engagement as a live game, our method could help satisfy the needs of the numerous fans who follow their team but cannot necessarily watch the live game. We believe our method has the potential to enhance the accessibility and understanding of soccer content for a wider audience, bringing the excitement of the game to more people.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
