Automatic frame extraction for improving content-based image retrieval of historical photographs
| Autor: | David Lunardi Flam, Ana Paula B. Lopes, Jussara M. Almeida, Natália. C. Batista, Arnaldo de Albuquerque Araújo, Sandra Avila |
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| Rok vydání: | 2008 |
| Předmět: |
Computational complexity theory
Computer science business.industry Frame (networking) Search engine indexing ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Content-based image retrieval Hough transform law.invention Set (abstract data type) law Computer vision Artificial intelligence business Parallelogram Frame problem |
| Zdroj: | WebMedia |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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