论文标题
基于摄像机的钢琴乐谱识别
Camera-Based Piano Sheet Music Identification
论文作者
论文摘要
本文介绍了一种大规模检索钢琴表音乐图像的方法。我们的作品与以前关于乐谱音乐检索的研究不同。首先，我们使用整个IMSLP数据集中的所有独奏钢琴乐谱图像作为可搜索的数据库，研究问题比以前的研究大得多。其次，我们使用乐谱音乐的手机图像作为我们的输入查询，该查询将自己适用于实用的，面向用户的应用程序。我们表明，以前提出的用于乐谱检索的指纹方法对于实时应用来说太慢了，我们诊断出其缺点。我们提出了一种新颖的哈希方案，称为动态N-gram指纹识别，该方案可显着降低运行时，同时提高检索精度。在IMSLP数据的实验中，我们提出的方法的平均相互等级为0.85，平均运行时间为0.98秒。
This paper presents a method for large-scale retrieval of piano sheet music images. Our work differs from previous studies on sheet music retrieval in two ways. First, we investigate the problem at a much larger scale than previous studies, using all solo piano sheet music images in the entire IMSLP dataset as a searchable database. Second, we use cell phone images of sheet music as our input queries, which lends itself to a practical, user-facing application. We show that a previously proposed fingerprinting method for sheet music retrieval is far too slow for a real-time application, and we diagnose its shortcomings. We propose a novel hashing scheme called dynamic n-gram fingerprinting that significantly reduces runtime while simultaneously boosting retrieval accuracy. In experiments on IMSLP data, our proposed method achieves a mean reciprocal rank of 0.85 and an average runtime of 0.98 seconds per query.
