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This quantity includes papers from 4 APWeb/WAIM 2009 workshops, that are 1. overseas Workshop on Web-based Contents administration applied sciences (WCMT 2009), 2. foreign Workshop on Real-Time company Intelligence (RTBI 2009), three. foreign Workshop on DataBase and data Retrieval and facets in comparing Holistic caliber of Ontology-based details Retrieval (DBIR-ENQOIR 2009), in addition to four. foreign Workshop on method conscious details structures (PAIS 2009. those 4 workshops have been chosen from a public call-for-proposals method. The workshop organizers have placed a huge volume of attempt into soliciting and choosing study papers with a stability of top of the range and new rules and new purposes.
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2 Object Segmentation in Video Conference Disparity information enables a multi-layered representation of a video frame. Since video objects are usually located on the same depth plane, so depth segmentation provides meaningful frame content representation. The advantage of using disparity is robust to motion fluctuation, even the object stays still for arbitrarily long period of time or when its different parts exhibit different motion characteristics. In a video conference sequence, the main object of interest is always the person in front of the camera.
So if use the motion as the only cue to extract objects, the body below the head will be lost. Video Object Segmentation Based on Disparity (a) 39 (b) Fig. 2. Segmentation results of the Grandmother sequence: (a) original frame, (b) segmentation results (a) (b) (c) Fig. 3. Claude stereoscopic image pair: (a) Original image, (b) segmentation result of , and (c) segmentation result of  Using color information is another method to detect human. These kinds of algorithms can only detect skin color pixels, like the face and hand parts, which have been discussed in [3-5].