Commercial OCR packages work best with highquality scanned images. They often produce poor results when the image is degraded, either because the original itself was poor quality,...
Usage of statistical classifiers, namely AdaBoost and its modifications, in object detection and pattern recognition is a contemporary and popular trend. The computatiponal perfor...
We present topic-regression multi-modal Latent Dirichlet Allocation (tr-mmLDA), a novel statistical topic model for the task of image and video annotation. At the heart of our new...
Duangmanee Putthividhya, Hagai Thomas Attias, Srik...
We propose a mid-level image segmentation framework that combines multiple figure-ground hypothesis (FG) constrained at different locations and scales, into interpretations that t...
In this paper, we propose a family of novel stereoscopic image coders based on morphological coding and a block-based disparity compensation algorithm. The proposed schemes employ...