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Many approaches for anomaly detection use statistical based methods that build profiles of normality. In these cases, anomalies are defined as deviations from normal models build from representative data. Detection systems based solely on these approaches typically generate high false alarm rates due to the difficulty of creating flawless models. In order to support the comprehension, validation and...
NP-Hard problems are hard to solve, it requires considerable computational power to generate solutions. The objective is to achieve better solution in less time. To obtain better solutions in semi-automated examination timetabling systems, we introduce visual interface tools to assist human to identify conflicts and turn the direction towards the feasible solution. We propose visual interface as a...
Introducing distortions into perspective views is a popular technique to direct our visual attention to specific objects, as seen in hand-drawn illustrations and cartoon animations. This type of image expression, called nonperspective projection, is feasible in visual communication, because the human visual system can reconstruct the target three-dimensional (3D) scene correctly provided that the...
We propose an adaptive motion compensated frame interpolation scheme which is capable of developing a frame rate from a lower number into a higher number and a decoded video quality at the decoder. The proposed algorithm utilizes the preliminary frames of the forward and backward directions using bilateral prediction. In the processing of the preliminary frames, an additional interpolation is performed...
Local Binary Pattern (LBP) is a powerful texture descriptor for its tolerance against illumination changes and its computational simplicity. The basic LBP encodes 256 feature patterns in a 3×3 neighborhood, but not all the patterns are effective for classification. In this paper, we propose a simplified LBP(S-LBP) which produces optimal patterns by using the best coding principle for classification...
This paper presents local ordinal measures for iris recognition. It is inspired by the mechanism of response properties in neuroscience. The ordinal relationships can preserve the stability among a group of neighboring regions against noise in a given iris image. In this scheme, the iris texture is represented by a set of similarities and dissimilarities across neighboring regions. The experiment...
This paper presents curve approximation problem using Particle Swarm Optimization (PSO). The proposed algorithm will be used to develop a skinning surface with PSO to keep the number of surface control points minimum. The experiments are conducted on various parameterization methods for approximating the curves. By implementing PSO on NURBS curve approximation, the weights of the curve can be adjusted...
Recently, interpolation methods especially in curves design are widely used for modeling data points. In this paper a new interpolation method for modeling fuzzy data using fuzzy interpolation rational Bezier curves is introduced based on fuzzy set theory. This method is able to model uncertainty data with definition of fuzzy data via fuzzy number concept. The fuzzy interpolation method is modeled...
Mobile Video on demand (VOD) system is that allows mobile clients to browse and watch videos anywhere and anytime. In this system, the video server employs staggered broadcasting protocol to disseminate video to mobile clients within the MANET environment. In this protocol, video is divided into small segments and are repeatedly broadcasted within server's channel in periodic basis. Clients can join...
In this paper we propose an approach compliant with the MPEG-4 standard to synthesize and control facial expressions generated using 3D facial models. This is achieved by establishing the MPEG-4 facial animation standard conformity with the quadratic deformation model representations of facial expressions. This conformity allows us to utilize the MPEG-4 facial animation parameters (FAPs) with the...
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