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Audio segmentation and classification can provide useful information for multimedia content analysis. In this paper, we present a approach to segment and categorize the sports audio into speech, music and other environmental sounds for sports video classification and highlight detection. We investigate the performance of mel frequency cepstral coefficients (MFCC) in a Gaussian mixture model frame...
The methods presented in this paper aim at detecting and recognizing players on a sport-field, based on a distributed set of loosely synchronized cameras. Detection assumes player verticality, and sums the cumulative projection of the multiple views' foreground activity masks on a set of planes that are parallel to the ground plane. After summation, large projection values indicate the position of...
This paper studies the consumer experience for Mobile and Interactive Social TV, which allows users to create an experience of watching together. A focus group study approach was used. The study found that the feeling of social presence of people of interest when watching content with them was considered to add value to the viewing experience. Users found value in availability of all (in this case...
In this paper we describe our work on creating a multimodal sensing platform for providing feedback to tennis coaches and players. The platform includes a fixed installation around a tennis court consisting of a video camera network and a localisation system as well as wearable sensing technology deployed to individual athletes. We describe the various components of this platform and explain how we...
This paper applies the grey system theory on the correlated quantificational analysis of the first-class 100-meter runnerpsilas score range, demonstrating the internal connection between some disordered data and coming to the finding of the sequential characters of these runnerpsilas range scores, which place influences upon Manpsilas 100-meter race. Then it concludes with the point of specially treated...
Criminal investigations have always been about gathering and processing information. But in recent years, the tools have adapted significantly to the times. The dog-eared detective's notebook and grimy loose-leaf folder full of mug shots have been replaced by intelligent search algorithms, machine learning, and statistical techniques designed to identify suspects and decipher their methods of operation.
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