in this paper, an object-based, highly scalable, lossy-to-lossless 3d wavelet coding approach for volumetric medical image data (e.g. mr and ct) is proposed. the new method, called 3dobhs-spiht, is based on the well known set partitioning in hierarchical trees (spiht) algorithm and supports both quality and resolution scalability. the 3d input data is grouped into groups of slices (gos) and eac...

The compression of geometric structures is a relatively new field of data compression. Since about 1995, several articles have dealt with the coding of meshes, using for most of them the following approach: the vertices of the mesh are coded in an order such that it contains partially the topology of the mesh. In the same time, some simple rules attempt to predict the position of the current ve...

Progressive transmission represents a viable solution to the challenges presented by the transmission of large vector data sets over the Internet. Previous implementations have considered progressive transmission as the reverse of map generalization. In an adaptive or selective progressive transmission strategy the order of transmission can vary between clients and generally will not equal the ...

This paper presents a technique to carry out progressive transmission of a volume data set using a hierarchical index of the data set. The intermediate data transmitted can be used as a complete representation, allowing the client to perform any computation on the volume and to generate any isosurface. The experiments performed show that a good approximation can be achieved for medical data set...

Due to the limited bandwidth available to mobile devices transmitting large amount of geographic data over the Internet to these devices is challenging. Such data is often high-resolution vector data and is far too detailed with respect to most location-based services (LBS) user requirements. A less detailed version may be sent prior to the complete dataset using a progressive transmission stra...