This paper studies a progressive image transmission technique over waveform channels. The Channel Optimized Vector Quantization codec (COVQ) [1] is applied to the image wavelet co...
A challenge of image communication over unreliable channels is to achieve good compression rates and be effective in presence of channel failures. In this work we use the Multiple...
This paper is organized as follows. In Section 2, we formulate the proposed UMPC method for modeling nonstationary and multi-modal data. Both MPC and UPC are shown to be special ca...
Automatic reconstruction of a complete 3D model of a complex object is presented. The complete 3D model is reconstructed by integrating two 3D models which are reconstructed from ...
A novel paradigm for information visualization in high dynamic range images is presented in this paper. These images, real or synthetic, have luminance with typical ranges many or...
In this work, we study the extraction of semantic objects from still images. We combine different ideas to extract them in a structured manner together with a perceptual metric th...
In this work, we study the extraction of semantic objects using morphological tools. We decompose the image into its level sets and level lines (the borders of the level sets). Sp...
In this paper we present the behavior of JPEG2000 coding scheme over noisy or congested communication channels and highlight the cost analysis aspect. Two error schemes are consid...
George Pavlidis, A. Tsompanopoulos, Nikos Papamark...
In this paper, we propose an efficient low complexity compression scheme for densely sampled irregular 3D meshes. This scheme is based on 3D multiresolution analysis (3D Discrete ...
In this paper we evaluate the effectiveness of two likelihood normalization techniques, the Background Model Set (BMS) and the Universal Background Model (UBM), for improving perf...