Modeling and rendering of walkthrough environments with panoramic images
Proceedings of the ACM symposium on Virtual reality software and technology
An Efficient Parameterless Quadrilateral-Based Image Segmentation Method
IEEE Transactions on Pattern Analysis and Machine Intelligence
An object-based video coding framework for video sequences obtained from static cameras
Proceedings of the 13th annual ACM international conference on Multimedia
Applying the multi-category learning to multiple video object extraction
Pattern Recognition
Target tracking under occlusion by combining integral-intensity-matching with multi-block-voting
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
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Two-dimensional (2-D) mesh-based motion compensation preserves neighboring relations (through connectivity of the mesh) as well as allowing warping transformations between pairs of frames; thus, it effectively eliminates blocking artifacts that are common in motion compensation by block matching. However, available 2-D mesh models, whether uniform or non-uniform, enforce connectivity everywhere within a frame, which is clearly not suitable across occlusion boundaries. To this effect, we hereby propose an occlusion-adaptive forward-tracking mesh model, where connectivity of the mesh elements (patches) across covered and uncovered region boundaries are broken. This is achieved by allowing no node points within the background to be covered (BTBC) and refining the mesh structure within the model failure (MF) region(s) at each frame. The proposed content-based mesh structure enables better rendition of the motion (compared to a uniform or a hierarchical mesh), while tracking is necessary to avoid transmission of all node locations at each frame. Experimental results show successful motion compensation and tracking