929 research outputs found
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Audio Fingerprinting to Identify Multiple Videos of an Event
The proliferation of consumer recording devices and video sharing websites makes the possibility of having access to multiple recordings of the same occurrence increasingly likely. These co-synchronous recordings can be identified via their audio tracks, despite local noise and channel variations. We explore a robust fingerprinting strategy to do this. Matching pursuit is used to obtain a sparse set of the most prominent elements in a video soundtrack. Pairs of these elements are hashed and stored, to be efficiently compared with one another. This fingerprinting is tested on a corpus of over 700 YouTube videos related to the 2009 U.S. presidential inauguration. Reliable matching of identical events in different recordings is demonstrated, even under difficult conditions
Audio Fingerprinting to Identify Multiple Videos of an Event
The proliferation of consumer recording devices and video sharing websites makes the possibility of having access to multiple recordings of the same occurrence increasingly likely. These co-synchronous recordings can be identified via their audio tracks, despite local noise and channel variations. We explore a robust fingerprinting strategy to do this. Matching pursuit is used to obtain a sparse set of the most prominent elements in a video soundtrack. Pairs of these elements are hashed and stored, to be efficiently compared with one another. This fingerprinting is tested on a corpus of over 700 YouTube videos related to the 2009 U.S. presidential inauguration. Reliable matching of identical events in different recordings is demonstrated, even under difficult conditions
Detection of Leishmania infantum by PCR, serology and cellular immune response in a cohort study of Brazilian dogs
The sensitivity and specificity of PCR, serology (ELISA) and lymphoproliferative response to Leishmania antigen for the detection of Leishmania infantum infection were evaluated in a cohort of 126 dogs exposed to natural infection in Brazil. For PCR, Leishmania DNA from bone-marrow was amplified with both minicircle and ribosomal primers. The infection status and time of infection of each dog were estimated from longitudinal data. The sensitivity of PCR in parasite-positive samples was 98%. However, the overall sensitivity of PCR in post-infection samples, from dogs with confirmed infection, was only 68%. The sensitivity of PCR varied during the course of infection, being highest (78–88%) 0–135 days post-infection and declining to around 50% after 300 days. The sensitivity of PCR also varied between dogs, and was highest in sick dogs. The sensitivity of serology was similar in parasite-positive (84%), PCR-positive (86%) and post-infection (88%) samples. The sensitivity of serology varied during the course of infection, being lowest at the time of infection and high (93–100%) thereafter. Problems in determining the specificity of serology are discussed. The sensitivity and specificity of cellular responsiveness were low. These data suggest that PCR is most useful in detecting active or symptomatic infection, and that serology can be a more sensitive technique for the detection of all infected dogs
Environmental monitoring of Mycobacterium bovis in badger feces and badger sett soil by real-time PCR, as confirmed by immunofluorescence, immunocapture, and cultivation
Real-time PCR was used to detect and quantify Mycobacterium bovis cells in
naturally infected soil and badger faeces. Immunomagnetic capture,
immunofluorescence and selective culture confirmed species identification and cell
viability. These techniques will prove useful for monitoring M. bovis in the
environment and for elucidating transmission routes between wildlife and cattle
Performance of an environmental test to detect Mycobacterium bovis infection in badger social groups
A study by Courtenay and others (2006) demonstrated that
the probability of detecting Mycobacterium bovis by PCR in
soil samples from the spoil heaps of main badger setts correlated
with the prevalence of excretion (infectiousness) of
captured badgers belonging to the social group. It has been
proposed that such a test could be used to target badger culling
to setts containing infectious animals (Anon 2007). This
short communication discusses the issues surrounding this
concept, with the intention of dispelling any misconceptions
among relevant stakeholders (farmers, policy makers and
conservationists)
The potential influence of masculine identity on health-improving behavior in midlife and older African American men
http://dx.doi.org/10.1016/j.jomh.2012.02.00
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Spectral vs. spectro-temporal features for acoustic event detection
Automatic detection of different types of acoustic events is an interesting problem in soundtrack processing. Typical approaches to the problem use short-term spectral features to describe the audio signal, with additional modeling on top to take temporal context into account. We propose an approach to detecting and modeling acoustic events that directly describes temporal context, using convolutive non-negative matrix factorization (NMF). NMF is useful for finding parts-based decompositions of data; here it is used to discover a set of spectro-temporal patch bases that best describe the data, with the patches corresponding to event-like structures. We derive features from the activations of these patch bases, and perform event detection on a database consisting of 16 classes of meeting-room acoustic events. We compare our approach with a baseline using standard short-term mel frequency cepstal coefficient (MFCC) features. We demonstrate that the event-based system is more robust in the presence of added noise than the MFCC-based system, and that a combination of the two systems performs even better than either individually
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