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Candrall, D.J. (2001) Extraction of Unconstrained Caption Text from General-Purpose Video. Thesis in Computer Science and Engineering, The Pennsylvania State University, University Park.

has been cited by the following article:

• TITLE: Simple and Efficient Text Localization for Compressed Image in Mobile Phone

  AUTHORS: Jung Hyoun Kim, Adrián Canedo-Rodríguez, Jung Hee Kim, John Kelly

  KEYWORDS: Text Localization, Discrete Cosine Transform, Text Extraction, Text Detection

  JOURNAL NAME: Journal of Signal and Information Processing, Vol.5 No.4, November 26, 2014

  ABSTRACT: Extraction of the text data present in images involves Text detection, Text localization, Text tracking, Text extraction, Text Enhancement and Text Recognition. Due to its inherent complexity, traditional text localization algorithms in natural scenes, especially in multi-context scenes, are not implementable under low computational resources architectures such as mobile phones. In this paper, we proposed a simple method to automatically localize signboard texts within JPEG mobile phone camera images. Taking into account the information provided by the Discrete Cosine Transform (DCT) used by the JPEG compression format, we delimitate the borders of the most importanttext region. This system is simple, reliable, affordable, easily implementable, and quick evenworking under architectures with low computational resources.