Agriculture is the most primary and indispensable source to furnish national income of
numerous countries including India. Diseases in plants/crops are the serious causes in …

Unsupervised image classification is the process by which each image in a dataset is
identified to be a member of one of the inherent categories present in the image collection …

Feature extraction is the first and most critical step in image classification. Most existing
image classification methods use hand-crafted features, which are not adaptive for different …

The analysis of natural disaster-related multimedia content got great attention in recent
years. Being one of the most important sources of information, social media have been …

We propose a method for automatic emotion recognition as part of the FERA 2011
competition. The system extracts pyramid of histogram of gradients (PHOG) and local phase …

The preservation and digitization of historical data are crucial for ensuring the continuity and
accessibility of information over successive generations. The present study investigates the …

Automatic recognition of facial expressions is a challenging problem specially for low spatial
resolution facial images. It has many potential applications in human–computer interactions …

This paper presents a novel approach towards Indic handwritten word recognition using
zone-wise information. Because of complex nature due to compound characters, modifiers …

Face recognition algorithms generally use 2D images for feature extraction and matching. In
order to achieve better performance, 3D faces captured via specialized acquisition methods …

This paper addresses the problem of floods classification and floods aftermath detection
based on both social media and satellite imagery. Automatic detection of disasters such as …