Received Dec 9, 2016 Revised Jun 17, 2017 Accepted Sep 17, 2017 Digital understanding of Indian classical dance is least studied work, though it has been a part of Indian Culture from around 200BC. This work explores the possibilities of recognizing classical dance mudras in various dance forms in India. The images of hand mudras of various classical dances are collected form the internet and a...

We propose an extension of popular descriptors based on gradient orientation histograms (HOG, computed in a single image) to multiple views. It hinges on interpreting HOG as a conditional density in the space of sampled images, where the effects of nuisance factors such as viewpoint and illumination are marginalized. However, such marginalization is performed with respect to a very coarse appro...

A multisector model was formulated to simulate the effects of recombinant porcine somatotropin (pST) on the U.S. hog-pork industry. A producer sector submodel was specified for nine hog-producing states, and a retail-wholesale sector was specified on a national level. Four pST adoption scenarios were tested; these differed in the extent of feed cost reduction (15 vs 25%) with or without premium...

In this paper Histogram Oriented Gradient (HOG) features are extracted to classify the postures in a Indian classical dance video dataset. The aim is to design an automated system that can recognize the steps of Indian classical dance in a video. As a video consists of frames of different actions, so features representing shapes can be used to interpret the dance steps. HOG based features are c...

Content based image retrieval is the technique to retrieve similar images from a database that are visually similar to a given query image. It is an active and emerging research field in computer vision. In our proposed system, the Interest points based Histogram of Oriented Gradients (HOG) feature descriptor is used to retrieve the relevant images from the database. The dimensionality of the H...

In this paper, an effective method is proposed to handle the facial expression recognition problem. The system detects the face and facial components including eyes, brows and mouths. Since facial expressions result from facial muscle movements or deformations, and Histogram of Oriented Gradients (HOG) is very sensitive to the object deformations, we apply the HOG to encode these facial compone...

I have researched the effect that selection for the function of the High Osmolarity Glycerol (HOG) pathway has on the evolutionary stability of the pheromone response pathway in the yeast Saccharomyces cerevisiae. I first set out to demonstrate that, because the pheromone and HOG response pathways share protein components, selection for HOG function will enrich a population for cells capable of...

Regulating corporate hog farms is one of the top issues confronting the Iowa Legislature in 1999. Two key Iowa Supreme Court decisions and a new governor favoring local control will reheat the debate over who will control the regulatory process. Federal, state, and county governments want control over regulating hog farms. The Federal Environmental Protection Agency claims oversight control und...

We hypothesize that hog production can be characterized by complementarities between new technologies, worker skills and farms size. Such production processes are consistent with Kremer’s (1993) O-ring production theory in which a single mistake in any one of several complementary tasks in a firm’s production process can lead to catastrophic failure of the product’s value. In hog production, mi...

Our system performs late fusion of several features whose weights have been optimized on UCF50 dataset. The fusion is done over the following features: 1) Our newly developed fast local descriptors for HoG and HoF, both grey-scale and RGB. In RGB-HoG/HoF we compute the dense HoG and HoF descriptors for all color channels and concatenate them. To obtain a single vector per video, we use the Fish...