Computer Science	@
Dr. Ramazan S. Aygün	Developing Novel Mosaic Generation Methods for Object-Based Multimedia Information Systems

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Description This project provides solutions to one of the important components of an interactive, object-based, semantic multimedia information retrieval system: mosaic generation. A Mosaic can be considered as a static component (or background) of a scene that does not change over a sequence of frames and is obtained by computing the global motion between frames, warping according to the global motion, and then blending the frames. Mosaic generation plays an important role in many applications including object-based coding (where objects in a scene are also coded or compressed independent of regular rectangular frame coding), video compression, video indexing, object tracking, virtual environments, security surveillance, wide-area surveillance, panoramic video, traffic monitoring, object recognition, and human behavior analysis since these applications usually require the subtraction of actual scenes from the background (or the mosaic) to determine the foreground objects. Since traditional mosaic generation methods require object segmentation for videos containing moving objects, they are not suitable for real-time mosaic generation and especially for video encoders that require sprite coding (coding based on layering objects on top of a mosaic or a sprite). This project (i) develops mosaic generation solutions for larger domains of videos; (ii) generates mosaics for videos containing many shots by classifying video shots; and (iii) develops objective evaluation methods for mosaic generation by producing ground-truths. Go to the website! Sponored by This material is based upon work supported by the National Science. Foundation under Grant No. 0812307. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

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