In this project, the task of architecture classification for monuments and buildings from the Indian subcontinent was explored. Five major classes of architecture were taken and various supervised learning methods, both probabilistic and nonprobabilistic, were experimented with in order to classify the monuments into one of the five categories. The categories were: ’Ancient’, ’British’, ’IndoIs...

Recent advances in 3D modeling and depth estimation of objects have created many opportunities for multimedia computing. Using depth information of a scene enables us to propose a brand new segmentation method called DepthWise segmentation. Unlike the conventional image segmentation problems which deal with surface-wise decomposition, the depth-wise segmentation is a problem of slicing an image...

Co-occurrence based image features have attracted keen attentions due to the promising performances for image classification tasks [1, 2, 3, 6, 7]. For extracting the co-occurrences, it is common to transform the quantitative data into qualitative data (symbols) by means of quantization (clustering) at first; e.g., continuous gradient orientation is coded into orientation bins [3], RGB colors a...

This paper devotes itself to the study of secret message delivery using cover image and introduces a novel steganographic technique based on genetic algorithm to find a near-optimum structure for the pair-wise least-significant-bit (LSB) matching scheme. A survey of the related literatures shows that the LSB matching method developed by Mielikainen, employs a binary function to reduce the numbe...

Diffusion Tensor Imaging (DTI) has become a widely used MR modality to investigate white matter integrity in the brain. This paper presents the application of an automated method for voxel-wise group comparisons of DTI images in a study of fitness and aging. The automated processing method consists of 3 steps: 1) preprocessing including image format converting, image quality control, eddy-curre...

We propose a machine learning based method of sentiment classification of sentences using word-level polarity. The polarities of words in a sentence are not always the same as that of the sentence, because there can be polarity-shifters such as negation expressions. The proposed method models the polarity-shifters. Our model can be trained in two different ways: word-wise and sentence-wise lear...

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Content Based Image Retrieval is a way of computer viewing technique used to retrieve digital images from a huge database. In this paper we have first calculated the feature vector column-wise and row-wise separately. After this we have concatenated the feature vectors of column-wise and row-wise. To evaluate the performance of the proposed method we have used Precision-Recall crossover point, ...

STUDY DESIGN Automatic measurement of Cobb angle in patients with scoliosis. OBJECTIVE To test the accuracy of an automatic Cobb angle determination method from frontal radiographical images. SUMMARY OF BACKGROUND DATA Thirty-six frontal radiographical images of patients with scoliosis. METHODS A modified charged particle model is used to determine the curvature on radiographical spinal i...

In this paper an coupled Burgers' equation is considered and then a method entitled interval finite-difference method is introduced to find the approximate interval solution of interval model in level wise cases. Finally for more illustration, the convergence theorem is confirmed and a numerical example is solved.