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A video is made up of frames. Generally few video processing applications demand to process each video frame one by one, but processing each frame consumes lot of video content summarization helps in improvising the processing speed for such applications. Key frames in video are considered for content summarization. Key frame is a frame in which there is a major change as compared to the previous...
Rapid growth in Information technology and Communication networking, have increased the inclination of professionals in storage and archival of multimedia-video data. Efficient and accurate retrieval of archived video data is essential need of many professional groups like researchers, analyst, journalist and historians. Textual metadata based video retrieval is intuitive and subject to human perception...
Biometric identification verifies user identity by comparing an encoded value with a stored value of the concerned biometric characteristic. Multimodal person authentication system is more effective and more challenging. The fusion of multiple biometric traits helps to minimize the system error rate. The benefit of energy compaction of transforms in higher coefficients is taken here to reduce the...
This paper proposes well-worn approach for verification of Online Signature which is one of the biometric entity. The signature will capture on digitizer the missing points of the signature are calculated from MDDA algorithm. This paper uses a notion to extract the feature vector generation based on CAL-SAL function. To extract the feature vector intermediate transform of row & col will be evaluated...
Nowadays in the world of advanced digital computer, tampering and implication of digital images can be easily performed by a tyro with a number of accessible advanced image processing softwares like Adobe Photoshop, Corel Draw etc. Therefore it becomes very challenging for end users to distinguish whether the image is novel or forged. In the fields such as forensics, medical imaging, e-commerce, and...
Online signature recognition is one of the important behavioral biometric trait. This signature has information of x, y, z variations, pressure, azimuth of pen tip, altitude of pen tip. This makes online handwritten signature based biometric system more accurate than the static ones. In this paper new set of features are proposed for online or dynamic signature recognition. Geometric centers, Grid...
Detection of multi-manipulated image has always been a more realistic direction for digital image forensic technologies, which extremely attracts interests of researchers. However, mutual affects of manipulations make it difficult to identify the process using existing single-manipulated detection methods. In this paper, a novel algorithm for detecting image manipulation history of blurring and sharpening...
Sign language is a widely used and accepted standard for communication by people with hearing and speaking impairments. A sign language is a language which uses visually transmitted sign patterns, instead of acoustically conveyed sound patterns, to deliver the meaning. Several ways to generalize the American sign language recognition have been proposed in the past [14] [15]. In this paper, novel method...
In the most of industrial and domestic applications bearings present important assets. The diagnostic of these elements needs accurate and reliable acquisition of its dynamic vibration signals affected by noise and other part of system such as gears, bars... Empirical Mode Decomposition (EMD) is a new signal processing method used to decompose non-stationary and non-linear vibration bearing signals...
Human activity recognition is an important functionality in any intelligent system designed to support human daily activities. While majority of human activity recognition systems use supervised learning, these systems lack the ability to detect new activities by themselves. In this paper, we report the results of our investigation of unsupervised human activity detection with features extracted from...
The elementary technology for video retrieval technique in computing is very sensitive to the user's query not to the contents of video. Every user has perspective to the video in the world of videos. So to identify this is difficult using text based video retrieval as this retrieval is based on text as processing input for video retrieval. The better approach for this video retrieval is content based...
In this paper, we demonstrate a new way to perform continuous authentication using Mouse Dynamics as the behavioural biometric modality. In the proposed scheme, the user will be authenticated per mouse event performed on his/her system. We have used a publicly available mouse dynamics dataset and extracted per event features suitable for the proposed scheme. In this research, we have used the mouse...
Update summarization is a recent trend in summarization task. The main goal of update summarization is to generate an update summary which includes the sentences from a collection of documents representing the evolved information. It is necessary that the selected sentences must be different from the previously selected sentences and also expected that some similarity in information be present. Previous...
In our previous work, we reported a system that monitors an intersection using a network of horizontal laser scanners. This paper focuses on an algorithm for moving-object detection and tracking, given a sequence of distributed laser scan data of an intersection. The goal is to detect each moving object that enters the intersection; estimate state parameters such as size; and track its location, speed,...
In order to separate the target particles from other background grain noise and other needless particles, flat performance, rectangle performance and other digital measurement parameters of the particle region are calculated. However, the smallest outer-rectangle in the appoint region is one of the most necessary middle parameters, the traditional symmetry matrix QR algorithm fail to dispose the smallest...
Users usually have different prospective even they input a same keyword to search Web services. It is a challenge to personalize web service search engine as more and more keyword-like Web services becoming available on Internet. User interest plays an important role in personalizing search result. Therefore, through interest extraction, Web service search engine is personalized. At last, an experiment...
As the amount of data increases and the relations among them get more complex, access to information implicit in data appears more difficult, and the role of methods of getting data from diverse texts, and analyzing them becomes more significant. Of such methods is the highly effective technique of keyword extraction which shows the concept and content of the original text. In this article, a new...
A new method to compute Chinese text concept is proposed in this paper. In this method, we construct sentence vectors from the text by extracting and quantifying some syntax and semantic features such as concept elements, dependent relations and correlative relations. Then, we combine these sentence vectors to the text vector to represent the text concept. Experimental results show that, in the application...
Text classification is the key technology for topic tracking, and vector space model (VSM) is one of the most simple and effective model for topics representation. Feature selection algorithm in VSM is an important means of data pre-processing, and it can reduce vector space dimension and improve the generalization ability of the algorithm. Therefore, it is necessary for feature selection algorithms...
This paper introduces a new method of feature extraction from wavelet coefficients for classification of digital mammograms. A matrix is constructed by putting wavelet coefficients of each image of a building set as a row vector. The method consists then on selecting by threshold, the columns which will maximize the Euclidian distances between the different class representatives. The selected columns...
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