Lyric video analysis using text detection and tracking

Shota Sakaguchi, Jun Kato, Masataka Goto, Seiichi Uchida

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


We attempt to recognize and track lyric words in lyric videos. Lyric video is a music video showing the lyric words of a song. The main characteristic of lyric videos is that the lyric words are shown at frames synchronously with the music. The difficulty of recognizing and tracking the lyric words is that (1) the words are often decorated and geometrically distorted and (2) the words move arbitrarily and drastically in the video frame. The purpose of this paper is to analyze the motion of the lyric words in lyric videos, as the first step of automatic lyric video generation. In order to analyze the motion of lyric words, we first apply a state-of-the-art scene text detector and recognizer to each video frame. Then, lyric-frame matching is performed to establish the optimal correspondence between lyric words and the frames. After fixing the motion trajectories of individual lyric words from correspondence, we analyze the trajectories of the lyric words by k-medoids clustering and dynamic time warping (DTW).

Original languageEnglish
Title of host publicationDocument Analysis Systems - 14th IAPR International Workshop, DAS 2020, Proceedings
EditorsXiang Bai, Dimosthenis Karatzas, Daniel Lopresti
Number of pages15
ISBN (Print)9783030570576
Publication statusPublished - 2020
Event14th IAPR International Workshop on Document Analysis Systems, DAS 2020 - Wuhan, China
Duration: Jul 26 2020Jul 29 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12116 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference14th IAPR International Workshop on Document Analysis Systems, DAS 2020

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)


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