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Playback attack detection (PAD) is essentially a binary classification task which is used to identify the authentic recordings from the playback recordings. For PAD problem, the difference of the acoustic feature between the authentic and playback recordings mainly comes from the recording channel and the ambient noise. Motivated by the excellent performance of the Gaussian Mixture Model-Universal...
Archaeological excavations typically turn up large amounts of fragments from different ceramic objects. To preserve fragile historical remains, archaeologists generally rely on digital imaging techniques which are time consuming and require special technical training. Previous attempts to devise ways of facilitating this process have concentrated on the automatic assessment and recording of the shape...
We propose a novel hybrid otitis media (OM) computer aided detection (CAD) system, designed to aid in the self-diagnosis of various forms of OM. OM is a prevalent disease in both children and adults. Our system is able to differentiate normal ear from acute otitis media (AOM), otitis media with effusion (OME) and the multi-categories of chronic otitis media including perforation, retraction, cholesteatoma,...
A large amount of fragments of different ceramic objects are usually found during archaeological excavation. Finding the relation between these fragments is time-consuming and demands expert knowledge. In this paper, we study a related problem known as ceramic reconstruction. We present a novel content-based feature matching method and develop the ceramic fragment reassembly system (CFRS) for ceramic...
Image retrieval has been popular for several years. There are different system designs for content based image retrieval (CBIR) system. This paper propose a novel system architecture for CBIR system which combines techniques include content-based image and color analysis, as well as data mining techniques. To our best knowledge, this is the first time to propose segmentation and grid module, feature...
Shot boundary detection is the first step of content-based video retrieval. In this paper, a novel method of abrupt cut detection is proposed based on motion information for uncompressed video. First we analyze motion vector filed calculated by block-based motion estimation and extract quantitative angle histogram entropy and average magnitude of motion vector filed as metrics of frame differences,...
This paper presents a method based on sub-area edge moment for the recognition of three-dimensional objects from wire-frame. In the recognition of 3D objects, 3D object wire-frame is divided into several fan-shaped sub-areas with the centroid as the center. By using improved edge moments calculation method, the low-order edge moments for each sub-area were computed. Then low-order edge moments for...
With the development of computer aided design technique,3D reconstruction from 2D input has been widely used in the research of computer vision. Plentiful works have been done in three orthographic views, in this paper a new method is introduced under single 2D input. The system in this paper aims at the reconstruction of useful objects in computer design. Angle histogram and corner detector are used...
Digital Elevation Model is one of the most important fundamental geographical datasets in National Spatial Data Infrastructure (NSDI). How to improve the accuracy and applicability of existing contour based DEM is one of key issues in DEM updating. Existing approaches mostly by the new technique which need more financial support. This paper presents a DEM oriented correction strategy that directly...
Corner point is the pixel with a high curvature on image edge. It is a key feature in digital image processing. Through the utilizing of corner points in image processing tasks, the computational complexity can be highly reduced. This paper proposes an improved corner detection algorithm. A technique using the radius of the fitting circle to denote local curve curvature is applied on the basis of...
In this paper, we will propose a method to detect an unusual voice for nursing system. Based on the healthy condition of a person, we define four kinds of unusual voices including cough, groan, wheeze and cry for help. When the person nursed sends out the unusual voices, we judge that his health condition have a doubt, and need someone to pay attention. In order to detect the unusual voices, we extract...
In this paper we present a hologram-based real-time system which allows the user to interact with music according to the diffractive light from a hologram. The system synthesizes audio with different pitches and tempo in accordance with the variations of the light brightness from a dot matrix hologram, which is composed of many gratings with varied orientations and pitches. Music data are encoded...
In this paper we propose a text classification rule extraction method, which is more efficient and more practical than existing similar methods. The definition of a proximate rule is first by given based on the characteristic of text classification rule extraction. Based on the chi values, the features of text set are selected and feature significance information is provided for the further feature...
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