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Dr. Ramazan
S. Aygün |
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Developing Novel Mosaic Generation Methods |
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Description This project provides
solutions to two main important components of an interactive, object-based, semantic
multimedia information retrieval system: mosaic generation and efficient
indexing and retrieval of spatio-temporal content
of the video 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. These bring
the challenges of the mosaic generation: limited domain of videos for mosaic
generation, accuracy and reliability. The first section of this project can
be divided into two subsections. The first section (i)
develops mosaic generation solutions for larger domains of videos according
to considering suitability to generate sprite from the video and objects;
(ii) imports a novel blending algorithm for a specific set of tracking videos
including real videos and synthetic videos with mobile or static object
(objects). The second subsection presents: (i)
mosaic generation solutions for larger domains of videos; (ii) mosaics for
videos containing many shots by classifying video shots; and (iii) objective
evaluation methods we developed for mosaic generation by producing
ground-truths. We also work on interactive video reproduction from the
available videos in two ways: using mosaic and using available video
database. We use the generated mosaic and overlay the objects to
interactively generate the videos. In addition, we index the videos and after
analyzing the similarities, we use the video database for video reproduction.
This part also includes interaction video reproduction using mosaics and
extending part to applying mosaic generation and visualization for high-
definition video.
Our main video server at http://sprite.cs.uah.edu/mosaics is currently down. We move our data
to our temporary server until the main server is up again. Please visit our updated website.
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