The discourse on the infodemic constructs combination of pandemic and disinformation as a new source insecurity global scale. How can we make sense – analytically politically– this newly politicized nexus public health, information management, security? This article proposes approaching phenomenon an intersecting securitization disorder health governance. Specifically, it argues that there are ...

Shot boundary detection is main step in video management systems like browsing and indexing. In this paper, we shortly describe an earlier proposed shot detection algorithm based on the structural properties of video frames. Two mathematical models for decision making, i.e. for similarity threshold determination are proposed and compared. The first model allows determination of threshold in cas...

We show that modal logic over universally first-order definable classes of transitive frames is decidable. More precisely, let K be an arbitrary class of transitive Kripke frames definable by a universal first-order sentence. We show that the global and finite global satisfiability problems of modal logic over K are decidable in NP, regardless of choice of K. We also show that the local satisfi...

In ubiquitous multimedia area, the number of digital videos increases dramatically with various qualities in video frames. Artifacts such as blur may commonly exist in video treams which will disturb compression and retrieval applications. This paper proposes an algorithm that detects video frames with global blur and partial blur. The proposed algorithm extracts the features which represent bl...

This paper introduces a non-parametric sequential frame decimation algorithm for image sequences in low-memory streaming environments. Frame decimation reduces the number of input frames to increase pose and structure robustness in Structure and Motion (SaM) applications. The main contribution of this paper is the introduction of a sequential low-memory work-flow for frame decimation in embedde...

Realistic rendering animation is known to be an expensive processing task when physically based global illumination methods are used in order to improve illumination details. This paper presents the Multi-Frame Lighting Method, an efficient algorithm to compute animations in radiosity environments. The method, based on global Monte Carlo techniques, performs the lighting simulation of groups of...

The research of mobile robot’s intelligence currently is a hot topic, and the basic and key technology to achieve the intelligence is Simultaneous Localization and Mapping(SLAM). In order to solve the problem of localization for mobile robots based on vision, A method of SLAM based on Kinect is proposed. Firstly, the successive images are captured by Kinect. Secondly, the frame-to-frame alignme...

In this paper, we propose a novel method based on the second-order conditional maximum a posteriori (CMAP) to improve the performance of the global soft decision in speech enhancement. The conventional global soft decision scheme is found through investigation to have a disadvantage in that the global speech absence probability (GSAP) in that scheme is adjusted by a fixed parameter, which could...