Fernando C. M. Martins

Intel virtualization technology

A virtualized system includes a new layer of software, the virtual machine monitor. The VMMs principal role is to arbitrate accesses to the underlying physical host platforms resources so that multiple operating systems (which are guests of the VMM) can share them. The VMM presents to each guest OS a set of virtual platform interfaces that constitute a virtual machine (VM). Once confined to specialized, proprietary, high-end server and mainframe systems, virtualization is now becoming more broadly available and is supported in off-the-shelf systems based on Intel architecture (IA) hardware. This development is due in part to the steady performance improvements of IA-based systems, which mitigates traditional virtualization performance overheads. Intel virtualization technology provides hardware support for processor virtualization, enabling simplifications of virtual machine monitor software. Resulting VMMs can support a wider range of legacy and future operating systems while maintaining high performance.

Augmented Reality System

In recent years, Augmented Reality (AR)[1][2][3] is very popular in universities and research organizations. The AR technology has been widely used in Virtual Reality (VR) fields, such as sophisticated weapons, flight vehicle development, data model visualization, virtual training, entertainment and arts. AR has characteristics to enhance the display output as a real environment with specific user interactive functions or specific object recognitions. It can be use in medical treatment, anatomy training, precision instrument casting, warplane guidance, engineering and distance robot control. AR has a lot of vantages than VR. This system developed combines sensors, software and imaging algorithms to make users feel real, actual and existing. Imaging algorithms include gray level method, image binarization method, and white balance method in order to make accurate image recognition and overcome the effects of light.

Improving H.263+ scalability performance for very low bit-rate applications

In this paper, we discuss the coding efficiency of the SNR enhancement layer scalability as supported by H.263+. We show that for the typical Internet connections, sub-56 Kbps channels, a significant amount of overhead is imposed by the H.263+ layered approach. This overhead precludes the efficient use of H.263+ SNR and spatial scalability in very low data rates. We provide a detailed analysis of the overhead in layered bitstreams and propose coding modifications that significantly reduce the overhead.

Efficient receiver-driven layered video multicast using H.263+ SNR scalability

We discuss the implementation of receiver-driven rate adaptation using multicast and SNR scalability as supported by Version 2 of ITU-T Recommendation H.263-Video Coding for Low Bit Rate Communication. We compare the layered bit stream approach to receiver-driven rate adaptivity to the approach using multiple independent bit streams. We show that although the independent, non-scalable bit streams perform better in a rate-distortion sense at the receiver, the layered bit streams cause less congestion at the intermediate network segments.

Real-time video frame rate adaptation based on warping of edge-preserving meshes

We propose a technique for the real-time synthesis of temporally interpolated video frames suitable for low bandwidth applications. The system is based on the warping of edge preserving meshes. Node selection segments the scene and places mesh nodes on top of object edges in the reference frame. Constrained Delaunay triangulation is used to create a mesh that keeps triangulation edges aligned with object edges in the scene. Node displacements are estimated and several interpolated frames may be synthesized between each pair of original frames without the need for fitting a new mesh to the reference frame. Each of the interpolated frames is synthesized by warping the mesh. We present experimental results that demonstrate the performance and applicability of the proposed method.