Text extraction in MPEG Compressed video for content-based indexing

Young Kyu Lim, Song Ha Choi, Seong Whan Lee

Research output: Contribution to journalArticle

30 Citations (Scopus)

Abstract

Video text extraction is a core technique for multimedia applications such as News-On-Demand(NOD) and digital libraries, and research about video text extraction have been conducted vigorously. In this paper, we propose an efficient method for extracting texts in MPEG compressed videos for content-based indexing. The proposed method makes the best use of 2-level DCT coefficients and macroblock type information in MPEG compressed video, and this method can be organized into three stages to increase overall performance : text frame detection, text region extraction, and character extraction. The main advantage of the proposed method is that it can avoid the overhead of decompressing video into individual frames in the pixel domain. We evaluated this method using various types of news video data.

Original languageEnglish
Pages (from-to)409-412
Number of pages4
JournalProceedings - International Conference on Pattern Recognition
Volume15
Issue number4
Publication statusPublished - 2000

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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