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Historical shipwrecks are important for many reasons, including historical, touristic, and environmental. Currently, limited efforts for constructing accurate models are performed by divers that need to take measurements manually using a grid and measuring tape, or using handheld sensors. A commercial product, Google Street View1, contains underwater panoramas from select locations around the planet...
Video playback system development has always been a challenging task in digital world problems such as education, sports event coverage, news and media domains. This work introduces a novel approach to summarize videos, primarily video lectures by varying the video playback frame rate without removing any frames from the video. This is accomplished by using Self organizing feature maps so as to learn...
Ventriculomegaly is one of the most sensitive markers for abnormal development of the fetal central nervous system. So assessment of the size of lateral ventricles has become an important part of routine neurological assessment in neonates. We have proposed a method for measuring the width of lateral ventricles in term and preterm neonates from the coronal view of their brain ultrasound images. Based...
This paper is concerned with the problem of synthesizing animating face driven by new audio sequence, which is not present in the previously recorded database. Future video frames and past video frames influence the dynamics of current video frame, so the dynamics of speech and facial expressions needed to be learned to model an efficient speech driven facial animation. We have incorporated the features...
Document examiners use a variety of features to analyze a given handwritten document for writer verification. The challenge in the automatic classification of a pair of documents to belong to the same or different writer, are both (i)The task of proper selection and extraction of features from the handwritten document and (ii)The use of a proper model that is capable of utilizing the true discriminatory...
Knowledge discovery and data mining (KDD) process includes preprocessing, transformation, data mining and knowledge extraction. The two important tasks of data mining are clustering and classification. In this paper, we propose a generic feature extraction for classification using fuzzy C-means (FCM) clustering. The raw data is preprocessed, normalized and then data points are clustered using the...
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