By Dong-Gyu Sim (auth.), Yo-Sung Ho, Hyoung Joong Kim (eds.)
We are overjoyed to welcome readers to the court cases of the sixth Pacific-Rim convention on Multimedia (PCM). the 1st PCM used to be held in Sydney, Australia, in 2000. in view that then, it's been hosted effectively by means of Beijing, China, in 2001, Hsinchu, Taiwan, in 2002, Singapore in 2003, and Tokyo, Japan, in 2004, and at last Jeju, probably the most appealing and superb islands in Korea. This 12 months, we approved 181 papers out of 570 submissions together with average and distinctive consultation papers. The recognition price of 32% shows our dedication to making sure a really fine quality convention. this might no longer be attainable with no the whole help of the wonderful Technical Committee and nameless reviewers that supplied well timed and insightful stories. we might accordingly prefer to thank this system Committee and all reviewers. this system of this yr displays the present pursuits of the PCM’s. The approved papers conceal various subject matters, together with, all features of multimedia, either technical and creative views and either theoretical and sensible concerns. The PCM 2005 application covers educational periods and plenary lectures in addition to ordinary shows in 3 tracks of oral periods and a poster consultation in one music. we now have attempted to extend the scope of PCM to the inventive papers which don't need to to be strictly technical.
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Additional info for Advances in Multimedia Information Processing - PCM 2005: 6th Pacific Rim Conference on Multimedia, Jeju Island, Korea, November 13-16, 2005, Proceedings, Part I
A common constraint is to assume that all the images are taken by exactly the same camera, without change of focus or zoom. Existing theory and algorithms have been restricted to constant camera parameters. The image axes can be assumed orthogonal and often the aspect ratio is known. In the past few years some preliminary research results have been presented on the 3D construction using single-camera images. Recently, Kahl  presented a method to model smoothness constraints about the random camera motion such as the motion of hand-held video cameras.
Outlier rejection techniques can reduce these problems. Knowledge of camera parameters or epipolar geometry can simplify the correspondence problem. A valid and powerful assumption is the fact that the motion between frames is generally small. In this case, the feature coordinates and the intensity distribution around the features will be alike in two images. Besides, if the feature to be matched is remarkably diﬀerent from its surroundings, it is allowed to reduce the search complexity and to match features using intensity cross correlation.
With a prior knowledge of model geometry, it can be done by simply tracking feature points. In our approach, the model geometry is assumed to be unknown. The tracking features do not have to lie on a speciﬁc real object. The only assumption is that initial reference positions are assigned by the user at the ﬁrst image frame to indicate the target place of object insertion. For each frame, the camera pose is computed only from feature correspondences without using any model geometry. 1 Feature Tracking We compute the object pose relative to the camera coordinate system using feature correspondences between two images.