Automatic frame extraction for improving content-based image retrieval of historical photographs

  • Authors:

  • Ana Paula B. Lopes;David L. Flam;Natália. C. Batista;Sandra E. F. de Avila;Jussara M. Almeida;Arnaldo de A. Araújo

  • Affiliations:

  • Minas Gerais Federal University, Minas Gerais, Brazil and Santa Cruz State University, Ilhéus, Bahia, Brazil;Minas Gerais Federal University, Minas Gerais, Brazil;Minas Gerais Federal University, Minas Gerais, Brazil;Minas Gerais Federal University, Minas Gerais, Brazil;Minas Gerais Federal University, Minas Gerais, Brazil;Minas Gerais Federal University, Minas Gerais, Brazil

  • Venue:
  • Proceedings of the 14th Brazilian Symposium on Multimedia and the Web
  • Year:
  • 2008

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Abstract

In this paper, we propose and evaluate a method for automatic frame extraction from a collection of historical photographs. These frames are very noisy and were demonstrated to significantly affect the results of content-based image indexing and retrieval in the photograph images. The method is based on parallelogram detection that uses a Hough transform variation called Tiled Hough Transform in which the image is split into tiles to reduce computational complexity. This detector is then extended to combine detected parallelograms into a resulting frame. Two key contributions of this work are: (1) a new effective technique to solve the photographs frame problem, and (2) the use of a set of statistical and experimental design techniques either to fine-tune the proposed method and to demonstrate its effectiveness.