Share Email Print
cover

Proceedings Paper

Automatic defect detection in video archives: application to Montreux Jazz Festival digital archives
Author(s): Philippe Hanhart; Martin Rerabek; Ivan Ivanov; Alain Dufaux; Caryl Jones; Alexandre Delidais; Touradj Ebrahimi
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Archival of audio-visual databases has become an important discipline in multimedia. Various defects are typ- ically present in such archives. Among those, one can mention recording related defects such as interference between audio and video signals, optical related artifacts, recording and play out artifacts such as horizontal lines, and dropouts, as well as those due to digitization such as diagonal lines. An automatic or semi-automatic detection to identify such defects is useful, especially for large databases. In this paper, we propose two auto- matic algorithms for detection of horizontal and diagonal lines, as well as dropouts that are among the most typical artifacts encountered. We then evaluate the performance of these algorithms by making use of ground truth scores obtained by human subjects.

Paper Details

Date Published: 26 September 2013
PDF: 15 pages
Proc. SPIE 8856, Applications of Digital Image Processing XXXVI, 88560R (26 September 2013); doi: 10.1117/12.2026875
Show Author Affiliations
Philippe Hanhart, Ecole Polytechnique Fédérale de Lausanne (Switzerland)
Martin Rerabek, Ecole Polytechnique Fédérale de Lausanne (Switzerland)
Ivan Ivanov, Ecole Polytechnique Fédérale de Lausanne (Switzerland)
Alain Dufaux, Ecole Polytechnique Fédérale de Lausanne (Switzerland)
Caryl Jones, Ecole Polytechnique Fédérale de Lausanne (Switzerland)
Alexandre Delidais, Ecole Polytechnique Fédérale de Lausanne (Switzerland)
Touradj Ebrahimi, Ecole Polytechnique Fédérale de Lausanne (Switzerland)


Published in SPIE Proceedings Vol. 8856:
Applications of Digital Image Processing XXXVI
Andrew G. Tescher, Editor(s)

© SPIE. Terms of Use
Back to Top