26 September 2013 Automatic defect detection in video archives: application to Montreux Jazz Festival digital archives
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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.
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Philippe Hanhart, Martin Rerabek, Ivan Ivanov, Alain Dufaux, Caryl Jones, Alexandre Delidais, Touradj Ebrahimi, "Automatic defect detection in video archives: application to Montreux Jazz Festival digital archives", Proc. SPIE 8856, Applications of Digital Image Processing XXXVI, 88560R (26 September 2013); doi: 10.1117/12.2026875; https://doi.org/10.1117/12.2026875
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