Statistical machine learning is widely used in image classification. However, most techniques 1) require many images to achieve high accuracy and 2) do not provide support for reasoning below the level of classification, and so are unable to support secondary reasoning, such as the existence and position of light sources and other objects outside the image. In recent work an Inductive Logic Pro...

We demonstrate a temporal imaging system based on parametric mixing that allows simple triggering from an external clock by using a time-lens-based pump laser. We integrate our temporal imaging system into a time-to-frequency measurement scheme and demonstrate the ability to perform characterization of temporal waveforms with 1.4-ps resolution and a 530-ps record length. We also integrate our s...

In this paper, we propose a video hash scheme that utilizes image hash and spatio-temporal information contained in video to generate video hash. A video clip is firstly segmented to shots, and video hash is derived in unit of shot. We notice that for video hash applications in identification and verification, reference video and suspected video always appear in pair. Therefore, we propose to d...

OBJECTIVES We investigated the possible relationship between being shot in an assault and possession of a gun at the time. METHODS We enrolled 677 case participants that had been shot in an assault and 684 population-based control participants within Philadelphia, PA, from 2003 to 2006. We adjusted odds ratios for confounding variables. RESULTS After adjustment, individuals in possession of...

sunflower is one of the most important edible oil that growth of annual crops, it is grown over a widely area and is considered a crop adapted to an every environmental conditions, in order to study growth analysis of sunflower under sowing date and cultivars in dry condition a farm experiment was conducted a split plot arranged in a complete randomized block design with three replications in t...

In the problem of k-shot learning, a model must learn to reliably classify an example having seen only k previous instances of examples of the same class. With recent success in using memory in neural networks to perform kshot learning, we propose a technique that uses MemoryAugmented Neural Networks to perform k-shot learning for action recognition in videos. We believe the use of memory will ...

Shot boundary detection is an important fundamental process toward automatic video indexing, retrieval, editing, etc. After a critical review of most approaches seeking to solve this problem, we propose a novel shot boundary detection. To improve the performance of the algorithm and reduce the computational cost, frames that are clearly not shot boundaries are first removed from the original vi...

In a sequence of random variables, record values are observations that exceed or fall below the current extreme value.Now consider a sequence of pairwise random variables  {(Xi,Yi), i>=1}, when the experimenter is interested in studying just thesequence of records of the first component, the second component associated with a record value of the first one is termed the concomitant of that ...

This paper describes our contribution to the TREC 2002 video analysis track. We participated in the shot detection task and in the feature extraction task (features indoors and outdoors). The shot detection approach is based on histogram differences and uses adaptive thresholds. Multiple detected shot boundaries that follow each other within a short temporal interval are grouped together and cl...

W ith health officials expanding their flu shot recommendations to cover more age groups and with a record 132 million doses of flu vaccine expected to be available for the upcoming flu season, it’s a busy time of year for family medicine practices everywhere. Once flu season hits, there’s rarely time to stop and look up the fine points of coding flu shots. So as you prepare to provide this ...