... In this paper, we have investigated the detection of copy move forgery in an audio recording. The experiment analysis has made us to propose a robust copy move detection method with help of the features which we ...
... the DynamicTimeWarping method to two dimensions is not a simple ...dimensional dynamicwarping algorithm could be used for a variety of applications such as text and facial ...
... for dynamictimewarping instead of using absolute feature value or derivative estimates since an absolute value or local feature is not sufficient to identify and match common trends and patterns in ...
... different time length, it is difficult to set the optimal number of state corresponding to each ...in time domain and deteriorates the recognition ...in DynamicTimeWarping (DTW) [8] ...
... system, dynamictimewarping (DTW) technique is ...In dynamictimewarping the entered character is processed in terms of time sequences x and y as a function of ...The ...
... This paper demonstrates the use of the hand contours as a feature of hand geometry. The contour is extracted by chain code technique. To match of two chain code of hand is used dynamictimewarping ...
... In this paper, we have proposed a novel nested alignment graph kernel. The kernel is an adaptation of the dynamictimewarping framework based kernel (i.e., the global align- ment kernel) to graphs. ...
... improving dynamictimewarping method to obtain a residual signal sequences with fault characterized sidebands and selecting the statistical characteristic parameters such as peak, RMS, kurtosis ...
... on dynamictimewarping is integrated. The dynamictimewarping adjusts positions of similar bands between two samples, which can be unmatched due to uneven movement of the ...
... level.Dynamic timewarping is a unessential concept used primarily for applications where low computation is ...on dynamic programming concept [1] ...
... Dynamictimewarping and DTW barycenter averaging do allow room for ...the time series registration problem that does not restrict points in one time series from being associated with ...
... function of energy and describes the difference between the model prediction and the truth. Of course, neither the truth nor the model defect are accessible. A Gaussian process (GP) enables to define a probability ...
... exhibits dynamic changes and a complex time-lag structure, which cannot be captured by the static zero-lag correlation ...applying DynamicTimeWarping (DTW) distance to evaluate ...
... system, DynamicTimeWarping (DTW) is used to measure the similarity between two-time ...first time series is the behavioral time periods of the cow used as the templates, which ...
... on DynamicTimeWarping (DTW), for facial expression perfor- mances and the results of a user-study in which the predictions of this algorithm were compared to the judgments of ASL sign- ...
... Abstract. The choice of the quality features set remains the main issue for the successful speech recognition system. In the literature, quality of features is estimated by calculating the classification error. So that, ...
... neck. DynamicTimeWarping (DTW) was applied to measure the similarity between acceleration data corresponding to the cow movements and the templates collected from the acceleration data ...
... Crime Analysis is the systematic study of crime which helps out law enforcement agencies in crime evaluation, crime and disorder reduction, crime prevention. Security agencies and administration are searching for new ...
... multivariate time series, it is much more complex to ...Angle DynamicTimeWarping, SA_DTW) to measure the DTW distance between two time series to match their ...