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From their beginning, people have always been prone to hiding something. Nowadays, the need for sending hidden messages has become the matter of pride and elite knowledge of managing how to send something to someone right in front of the eyes of others without others knowing about the communication. It opens a complete new perspective of the world, parallel to the existing one, where hidden messages...
Plenty of video stuff is created, broadcasted, shared and stored each and every day by industry experts, beginners, and hobbyists. Video summaries aim at showcasing the semantics and content of a clip in reduced time and space to enable a quick overview of video clip relevance. This paper focuses on static summaries showing key frames from the video. The key frames are extracted by leveraging the...
In this paper, we apply MCMCLDA (Multi-class Markov Chain Latent Dirichlet Allocation) model to classify abnormal activity of students in an examination. Abnormal activity in exams is defined as a cheating activity. We compare the usage of Harris3D interest point detector and a human joints detector, MODEC (Multimodal Decomposable Models), as the feature detector. Experiment results show that using...
In this paper, we propose a keypoint selection scheme for SIFT and KAZE features and demonstrate their effectiveness in object characterization. The selection criterion rely on the detectability, distinctiveness and repeatability of the keypoints. These scores are combined to give a keypoint saliency score. The keypoints are ranked according to their saliency values and weak/irrelevant keypoints are...
This paper presents a novel method for making an inexpensive, low resolution, wide angle gamma-ray camera using a single handheld inorganic scintillation detector. A lead aperture is used to create a directionally sensitive detector and craterisation points are measured and compiled into a pixel Ted spherical gamma-ray image. The gamma-ray image is separated into energy channels and overlaid on top...
In electroneurophysiology, single-trial brain responses to a sensory stimulus or a motor act are commonly assumed to result from the linear superposition of a stereotypic eventrelated signal (e.g. the event-related potential or ERP) that is invariant across trials and some ongoing brain activity often referred to as noise. To extract the signal, one performs an ensemble average of the brain responses...
In [1] Lienhart and Maydt introduced the calculation of rotated Haar-Wavelets by 45°. They showed that the extended set of possible wavelets improves the object recognition method of Viola et al. [2]. In this paper, we introduce a novel integral image structure which holds the information of a standard and a 45° rotated integral image. We use this image structure to improve a simple and efficient...
Flying insects chase prey and mates, skillfully exhibiting their ability to detect, track and pursue a moving target within a complex visual environment. This is a challenging task, even for the most sophisticated vision systems. Using electrophysiological techniques we record from visual neurons in the insect brain likely to underlie this pursuit behavior. These neurons respond to the presentation...
In this paper we presented a violence detector built on the concept of visual codebooks using linear support vector machines. It differs from the existing works of violence detection in what concern the data representation, as none has considered local spatio-temporal features with bags of visual words. An evaluation of the importance of local spatio-temporal features for characterizing the multimedia...
We present a novel algorithm based on Beamlet Transform for extracting seam edges from noisy welding images. Taking into account of some special characteristics of welding image processing, we introduce an orientation-thresholding step as well as a two-scan method to the standard beamlet-based line detection algorithm. Experiments are conducted to extract edge features from noisy welding images at...
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