@article {18260, title = {Performance impact of ordinal ranking on content fingerprinting}, journal = {IEEE Int. Conf. on Image Processing}, year = {2010}, month = {2010///}, abstract = {Content fingerprinting provides a compact representation ofmultimedia objects for copy identification. This paper ana- lyzes the impact of the ordinal-ranking based feature encod- ing on the performance of content fingerprinting. Expressions are derived for the identification performance of a fingerprint- ing system with and without ordinal ranking. The analysis in- dicates that when the number of features is moderately large, ordinal ranking can improve the robustness of the fingerprint- ing system to large distortions of the features and significantly increase the probability of detection. These results enhance understandings of ordinal ranking and provide design guide- lines for choosing different system parameters to achieve a desired identification accuracy. }, author = {Chuang,W.H. and Varna,A.L. and Wu,M.} }