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Recognizing the certain person of interest in cameras of different viewpoints is known as the task of person re-identification. It has been a challenging job considering the variation in human pose, the changing illumination conditions and the lack of paired samples. Previous matching techniques in the person re-identification field mainly focus on Mahalanobis-like metric learning functions. Taking...
Scene text information extraction plays an important role in many computer vision applications. Most features in existing text extraction algorithms are only applicable to one text extraction stage (text detection or recognition), which significantly weakens the consistency in an end-to-end system, especially for the complex Chinese texts. To tackle this challenging problem, we propose a novel text...
In this paper we present a research on identification of audio recording devices from background noise, thus providing a method for forensics. The audio signal is the sum of speech signal and noise signal. Usually, people pay more attention to speech signal, because it carries the information to deliver. So a great amount of researches have been dedicated to getting higher Signal-Noise-Ratio (SNR)...
Traditional file recovery methods rely on file system information, which are ineffective when file system information isn't available. File carving is a file recovery method that recovers files according to their structure and content without file system information, which is widely used in digital forensics. As the important carriers of digital information, multimedia files are important digital...
A pulse diagnosis approach based on Hilbert-Huang transformation method and Singular Value Decomposition (SVD) technique is proposed. The Empirical Mode Decomposition (EMD) method is used to decompose the signal into a number of IMF components, then applying the Hilbert transformation to creating analytic signal and obtaining instantaneous frequency and instantaneous amplitude, from which the initial...
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