review and analysis of ¬ the relationship of human kind beings as being deployed in the world, and the question of how human kind understand the universe, is a fundamental question that martin heidegger investigated in his philosophical work, “being and time”, and he attempted to open the secret of livingness of human beings. based on his philosophies, the man, as a being who is trying to under...

In this paper we explore the use of natural language understanding and image processing to index and query American Football tapes. We present a model for representing spatio-temporal characteristics of multiple objects in dynamic scenes in this domain, and a recognition system which uses the model to recognise American Football plays.

We propose a fast algorithm for the identification of localised brain regions from medical images that discriminate between two groups of individuals. The method is based on a combination of penalised regression and a data resampling procedure. We apply this approach to both MRI and PET images for the classification of subjects with Alzheimer’s disease and mild cognitive impairment. We show tha...

We are developing a system to perform table image understanding. The recognition problem is to locate and characterize the cells of a table in a two-dimensional black and white document image. More meaning is implicit in the geometric location of the image regions (cells) of a table than in most other document types. Ideally, we wish to develop a strategy for extracting the underlying relationa...

This paper presents Deep Retinal Image Understanding (DRIU), a unified framework of retinal image analysis that provides both retinal vessel and optic disc segmentation. We make use of deep Convolutional Neural Networks (CNNs), which have proven revolutionary in other fields of computer vision such as object detection and image classification, and we bring their power to the study of eye fundus...

This paper introduces a novel approach to knowledge-based understanding of images. Our system maintains common-sense knowledge of many situations and uses this knowledge to analyze the input images and allows us to query the system for interesting inferences. The domain that we have chosen to implement our system deals with the images of pre-historic cave art. However, the approach is equally a...

Vision researchers have created an incredible range of algorithms and systems to detect, track, recognize, and contextualize objects in a scene, using a myriad of internal models to represent their problem and solution. However in order to effectively make use of these algorithms sophisticated expert knowledge is required to understand and properly utilize the internal models used. Researchers ...

Traditionally, image intensities have been processed to segment an image into regions or to find edge-fragments. Image intensities carry a great deal more information about three-dimensional shape, however. To exploit this information, it is necessary to understand how images are formed and what determines the observed intensity in the image. The gradient space, popularized by Huffman and Mackw...