Mohamed A. Helala

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Content-Based Image Retrieval (CBIR) considers the characteristics of the image itself, for example its shapes, colors and textures. The Current approaches to CBIR differ in terms of which image features are extracted. Recent work deals with combination of distances or scores from different and independent representations. This work attempts to induce high(More)
This paper proposes a new region-based image retrieval technique called Principal Regions Image Retrieval (PRIR). This technique starts by segmenting an image to the most general principal regions and applies a fuzzy feature histogram to describe the color and texture properties of each segmented region. The proposed approach starts by generating a nearest(More)
This paper explores the exciting possibility of using Google Earth as a software laboratory for studying wide-area scene analysis using near-ground aerial imagery. To this end we present a new image mosaicing algorithm capable of generating large mosaics from imagery captured by a near-ground aerial vehicle. Our algorithm eschews camera calibration and can(More)
Recent interest in developing online computer vision algorithms is spurred in part by a growth of applications capable of generating large volumes of images and videos. These applications are rich sources of images and video streams. Online vision algorithms for managing, processing and analyzing these streams need to rely upon streaming concepts, such as(More)
Several fundamental computer vision problems, such as depth estimation from stereo, optical flow computation, etc., can be formulated as a discrete pixel labeling problem. Traditional Markov Random Fields (MRF) based solutions to these problems are computationally expensive. Cost Volume Filtering (CF) presents a compelling alternative. Still these methods(More)
Stream processing is currently an active research direction in computer vision. This is due to the existence of many computer vision algorithms that can be expressed as a pipeline of operations, and the increasing demand for online systems that process image and video streams. Recently, a formal stream algebra has been proposed as an abstract framework that(More)
Robust Curved Road Boundary Identification Using Hierarchical Clustering Nurjahan Parvin Master of Computer Science Faculty of Science University of Ontario Institute of Technology 2013 We develop a new method for automatic curved road boundary detection in images captured by traffic cameras. The proposed method combines data driven (edge segments) and(More)
Image alignment techniques have gained popularity for constructing image mosaics from video sequences. These image alignment techniques, however, have a hard time dealing with motion parallax, which limits their applicability. This paper studies image mosaicing in the presence of motion parallax and develops a new algorithm for generating view dependent(More)