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This paper presents a novel algorithm (CVSTSCSP) for determining discriminative features from an optimal combination of temporal, spectral and spatial information for motor imagery brain computer interfaces. The proposed method involves four phases. In the first phase, EEG signal is segmented into overlapping time segments and bandpass filtered through frequency filter bank of variable size subbands...
Dictionary learning follows a synthesis framework; the dictionary is learnt such that the data can be synthesized / re-generated from the coefficients. Transform learning on the other hand is based on analysis formulation; it learns a transform so as to generate the coefficients. The basic formulations of dictionary learning and transform learning employ a Euclidean cost function for the data fidelity...
Fish Species classification is of great utility to marine biologists for the understanding of underwater ecology and fish behavior as well as to keep a log of endangered species, which assists in fisheries management. Traditional methods being either tedious or too computationally intensive lead to the requirement of an automated method of analysis and counting. Generally, the classification of underwater...
Sentiment mining from sources like Twitter which contain informal texts is needed as there is prominent information and vast amount of data to be analyzed, understood and experimented. There has been a lot of research in this area to get the semantic information from this domain and to create better prediction in terms of Sentiment classification. We present a novel approach which provides an ensemble...
The rapid growth of Internet technologies has resulted in an increase in online user's content creation. User generated information, usually represents the people's opinions, thoughts, reviews and sentiments. Automatic sensing and analysis of opinions about products, brands, political publications, etc. is a challenging job. Opinions are expressed in different ways in different domains. Constructing...
Gait is an important physiological biometric in the area of computer vision for human authentication at a distance. In appearance-based gait recognition system, significant gait features could be affected by various cofactors such as cloths or carrying objects. Therefore, detecting co-factored segments and eliminating co-factored information without losing the features of Gait Energy Image (GEI) is...
The paper emphasizes the need for teaching and learning mathematically intensive theory subjects using very powerful software tools. Under Electrical Engineering discipline, there are subjects like Signals & systems, Control Systems, Digital Signal/Image Processing etc. where teachers need to spend a considerable amount of time in classroom, teaching the mathematical concepts, ending up with very...
Visual sentiment analysis framework can predictthe sentiment of an image by analyzing the image contents. Nowadays, people are uploading millions of images in socialnetworks such as Twitter, Facebook, Google Plus, and Flickr. These images play a crucial part in expressing emotions of users in online social networks. As a result, image sentiment analysishas become important in the area of online multimedia...
Irritation and disgust are two sub-categories of angry emotion that often confuse the detection system based on anger analysis. This work aims to distinguish these secondary emotions from the primary angry state. Recognition and segregation of these states can help the society to maintain a better social relationship. Further, it can be used as an input to the psychologists and medical practitioners...
Diabetes, referred to as diabetes mellitus, describes a group of metabolic diseases in which the person has high blood glucose. Possible complications that can be caused by badly controlled diabetes: Eye complications, Foot complication, Skin complications, Heart problems, Hypertension, etc. Diabetic retinopathy (DR), a common complication of diabetes, affects the blood vessels in the retina. It is...
Content based image retrieval helps manipulators to retrieve pertinent images based on their contents. A consistent content-based feature extraction technique is required to meritoriously extract most of the information from the images. These important elements include color, texture, intensity or shape of the object inside image. Various descriptors required for extracting global and local features...
Facial Expression is the easy way of telling/showing inner feelings. The Facial Expression Recognition system has many applications including human behavior understanding, detection of mental disorders, synthetic human expressions and many more. This paper presents a quick survey of facial expression recognition as well as a comparative study of various features on JAFFE and CK datasets. It mainly...
Visual Secret sharing (VSS) suffer from secret transmission risk as the shares in VSS appear as meaningful image or noise like image. In order to overcome such problem a new Natural image based Visual Secret Sharing (NVSS) scheme was presented. Using NVSS scheme one can distribute a secret image using n-1 natural images and one noise image. It does not modify the contents of natural images. The encryption...
Due to robustness feature color of object has been proved as low level unique feature. If we change viewpoint looking at a color we note change in its appearance. Color image processing requires dealing with each and every pixel of an image. In this paper spatial color distribution features are implemented. We focus on its calculation and comparison of retrieval efficiency using histogram quadratic...
In this paper, we propose a new face image restoration method based on the features extracted from the noisy images given by the principal components of the noise covariance matrix. This technique deliberate the additive normal scattered degradation classic and use of a code shrinkage technique to remove noise from the images. The proposed work have been a large number of artificial neural networks...
The paper is focuses on using hybridization of multiple features with different classifiers for the purpose of recognition of isolated handwritten Gurmukhi character images. We have tested four different types of features named as Histogram Oriented Gradient (HOG), Distance Profile, Background Directional Distribution (BDD) and Zonal Based Diagonal (ZBD). HOG feature is computed by information of...
An automated system for leukocyte classification can make manual analysis of peripheral blood smear faster and less tedious task for a pathologist. Hematological disorders of leukocytes (white blood corpuscles) are very frequent in medical practices. Microscopic analysis of peripheral blood smear is a critical step in diagnosing the hematological disorders. However, the nonspecific nature of white...
The general phenomenon for Image Classification is based on the Feature extraction mechanism. In every domain of image analysis, the classification accuracy is dependent on how better the feature set is generated which helps the machine to learn and predict the unknown sample class label. In this paper, a novel feature extraction mechanism is proposed and named as Counting Label Occurrence Matrix...
Since four decades, a sincere concern has aroused among managerial, professional, towards the satisfaction of teaching-learning objective in Academia. Huge span of time has already been spent revealing student's profile patterns using predictive modeling methods, however, very little effort is put up in identifying the causative features responsible for varied students' performances followed by decisive...
In today's networked environment, massive volume of data being generated, gathered and stored in databases across the world. This trend is growing very fast, year after year. Today it is normal to find databases with terabytes of data, in which vital information and knowledge is hidden. The unseen information in such databases is not feasible to mine without efficient mining techniques for extracting...
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