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The most popular approach to large scale image retrieval is based on the bag-of-visual-word (BoV) representation of images. The spatial information is usually reintroduced as a post-processing step to re-rank the retrieved images, through a spatial verification like RANSAC. Since the spatial verification techniques are computationally expensive , they can(More)
The sliding window approach has been widely used for object detection because it provides a simple way to apply object recognition techniques to the detection task. Despite its effectiveness, though, the exhaustive search makes the approach inefficient in the case of a non-trivial classifier. The branch and bound techniques [3, 4] have been proposed in(More)
The local feature based approaches have become popular for activity recognition. A local feature captures the local movement and appearance of a local region in a video, and thus can be ambiguous; e.g., it cannot tell whether a movement is from a person's hand or foot, when the camera is far away from the person. To better distinguish different types of(More)
High order features have been proposed to incorporate geometrical information into the "bag of feature" representation. We propose algorithms to perform fast weakly supervised object categorization and localization with high order features. To this end, we first use Hough transform method to identify translation and scale invariant high order features(More)
  • Mona R. Loutfy, Wei Wu, Michelle Letchumanan, Lise Bondy, Tony Antoniou, Shari Margolese +8 others
  • 2013
BACKGROUND The risk of sexual HIV transmission in serodiscordant couples when the HIV-positive partner has full virologic suppression on combination antiretroviral therapy (cART) is debated. This study aims to systematically review observational studies and randomized controlled trials (RCTs), evaluating rates of sexual HIV transmission between heterosexual(More)
We address the problem of group-level event recognition from videos. The events of interest are defined based on the motion and interaction of members in a group over time. Example events include group formation, dispersion, following , chasing, flanking, and fighting. To recognize these complex group events, we propose a novel approach that learns the(More)
A method of blind recognition of the coding parameters for binary Bose-Chaudhuri-Hocquenghem (BCH) codes is proposed in this paper. We consider an intelligent communication receiver which can blindly recognize the coding parameters of the received data stream. The only knowledge is that the stream is encoded using binary BCH codes, while the coding(More)