Nafisa Tarannum

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Global motion estimation (GME) is an extensively used tool for many important video processing applications including mosaicing, image registration, video compression and segmentation. The presence of large foreground objects or other distortions often hinders the process of GME. The main challenges in this area are the combining of the motions of the(More)
Global motion estimation (GME) is an extensively used tool in a variety of video processing applications. The major challenge in this field is the presence of large foreground objects. There is a wide variety of algorithms addressing this problem. The major shortcoming of these algorithms is inconsistent performance over several video sequences. In this(More)
In recent years, global motion estimation (GME) has become an important tool in the fields of video coding, video compression and computer vision. Estimating the correct global motion is often more difficult when the video scene contains large foreground objects. Previous approaches to addressing this problem have required the application of algorithm(More)
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