Cellular learning automata is a combination of learning automata and cellular automata. This model is superior to cellular learning automata because of its ability to learn and als...
This paper presents an efficient compression-oriented segmentation algorithm for computer-generated document images. In this algorithm, a document image is represented in a block-...
A recently adopted standard, the Mixed Raster Content (MRC) imaging model, represents compound images as a superposition of layers. Since layers are superimposed, large regions ma...
A distributed system for approximate query answering on sensor network data is proposed, where a suitable compression technique is exploited to represent data and support query an...
—A unified approach to rate-distortion (R-D) optimized compression and view-dependent transmission of three-dimensional (3-D) normal meshes is investigated in this work. A norma...
Jae-Young Sim, Chang-Su Kim, C. C. Jay Kuo, Sang U...