Various relevance feedback algorithms have been proposed in recent years in the area of content-based image retrieval. This paper gives a brief review and analysis on existing tec...
Document images undergo various degradation processes. Numerous models of these degradation processes have been proposed in the literature. In this paper we propose a modelbased r...
In this paper, we develop a new approach for texture classification independent of affine transforms. Based on spectral representation of texture images under affine transform, an...
Perspective distortion always occurs while scanning thick, bound documents. This distortion mainly causes two sources of degradation for the scanned grayscale image ? i) shade alo...
In standard predictive video coders, intra-mode coding of macroblocks (MBs) provides packet loss resilience, at the cost of reduced compression efficiency. Conventional mode selec...
In this paper, a novel method of relevance feedback is presented based on Support Vector Machine learning in the content-based image retrieval system. A SVM classifier can be lear...
Video coding is a complex process, comprising a combination of spatial, temporal and statistical data reduction techniques. Of these techniques, motion estimation taking advantage...
Meshes are dominantly used to represent 3D models as they fit well with graphics rendering hardware. Features such as volume, moments, and Fourier transform coefficients need to b...
We describe a method for tracking a person's face through an image sequence and estimating the 3-D facial pose within each frame. It is based on an affine approximation to th...