Higher frame-rates promise better tracking of rapid motion, but advanced real-time vision systems rarely exceed the standard 10– 60Hz range, arguing that the computation required would be too great. Actually, increasing frame-rate is mitigated by reduced computational cost per frame in trackers which take advantage of prediction. Additionally, when we consider the physics of image formation, hi...

The high performance, low cost, and flexibility of commodity hardware systems make them appealing for network processing applications. However, the standard software architecture of such systems imposes significant limitations. At high rates (e.g., Gigabit Ethernet) and small frame sizes (64 byte) each frame must be processed in less than 672 ns. System calls, synchronization, and memory latenc...

In this paper, we propose a new motion estimation method. The proposed motion estimation method enhances the image quality by using the temporal symmetry in the phase correlation method. Experimental results show that the average PSNR of the proposed method is up to 1.36 dB higher than that of the benchmark methods. Also, the computation time of the proposed method is very low compared to the b...

PURPOSE To achieve high temporal frame rate, high spatial resolution and full-vocal-tract coverage for three-dimensional dynamic speech MRI by using low-rank modeling and sparse sampling. METHODS Three-dimensional dynamic speech MRI is enabled by integrating a novel data acquisition strategy and an image reconstruction method with the partial separability model: (a) a self-navigated sparse sa...

In the context of Distributed Video Coding (DVC), rate allocation among sources represents an important problem to solve. While in the information theoretical setting of Distributed Source Coding (DSC) the statistical correlation between sources is usually assumed to be known, in practical DVC systems there is no a priori knowledge of the underlying statistics of visual data. This lack of infor...

Traffic monitoring requires mobile and flexible systems that are able to extract densely sampled spatial and temporal traffic data in large areas in near-real time. Video-based systems mounted on aerial platforms meet these requirements, however, at the expense of a limited field of view. To overcome this limitation of video cameras, we developed a concept for automatic derivation of traffic fl...

Video bit rate reduction can be very important for all video streaming application. One of the possible ways to reduce bit rate is decreasing change in time or space domain i.e. changing frame rate or resolution. In this paper we present two no reference metrics mapping frame rate or resolution into MOS. Both models use simple to calculate parameters expressed by sequence spatial and temporal i...

A frame interpolation algorithm for frame rate up-conversion of progressive image sequences is proposed. The algorithm is based on simple motion compensation and linear interpolation. A motion vector is searched for each pixel in the interpolated image and the resulting motion eld is median ltered to remove inconsistent vectors. Averaging along the motion trajectory is used to produce the inter...

Electromechanical delay (EMD) represents the time lag between muscle activation and muscle force production and is used to assess muscle function in healthy and pathological subjects. There is no experimental methodology to quantify the actual contribution of each series elastic component structures that together contribute to the EMD. We designed the present study to determine, using very high...

In this paper, a novel block-based motion compensated frame interpolation (MCI) algorithm is proposed to enhance the temporal resolution of video sequences. We formulated motion estimation into MAP framework, and solved it via Bayesian belief propagation. By effectively incorporating a priori knowledge of the motion field and optimizing the whole motion field synchronously, it could derive more...