Asking Graphs "How Did I Play?" Generating Graphs through Images Via Signals

Sai Siddartha Maram, Arjav Jain
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Abstract

Cricket is a game that requires players to constantly adapt to situations and customize their game depending on opponents and playing conditions. Players and coaching staff often watch video clips to understand the strategies of opponents. Iterating through multiple matches over many years across various leagues and formats, and extracting clips is a tiring process. In this paper, we propose a computer vision framework to segment cricket matches into clips based on context and construct real-time graphs using meta-data from segmented clips. We discuss various queries on the generated graphs and also evaluate our segmentation and querying model based on the accuracy and quality of the retrieved data.
问图表“我是怎么玩的?”通过信号通过图像生成图形
板球是一项需要玩家不断适应情况并根据对手和比赛条件定制游戏的游戏。球员和教练组经常观看视频片段,以了解对手的策略。多年来,在各种联赛和格式中迭代多次比赛,并提取片段是一个累人的过程。在本文中,我们提出了一个计算机视觉框架,基于上下文将板球比赛分割成片段,并使用分割片段的元数据构建实时图形。我们讨论了对生成的图的各种查询,并根据检索数据的准确性和质量评估了我们的分割和查询模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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