This paper presents a new technique for retargeting the sign language data captured from motion capture device to different characters with different sizes and proportions. Realistic and natural animations can be produced to express similar meanings to the original. The proposed method first defines many sensitive points on the human body and selects the key sensitive points through analyzing t...

Image compression is a technique used to reduce the storage required to save an image. The existing image coding methods cannot support content based image compression and enlargement for arbitrary resolution display devices. In multimedia communications, image retargeting is generally required at the user end. The work presented in this paper addresses the increasing demand of visual signal de...

Images play a vital role in steganography, as cover media to hide secret messages. Retargeting becomes mandatory while transmitting image in a heterogeneous network because sender and recipient may not have display devices of same resolution. Resizing images by scaling or cropping also lead to loss of visually important features. In steganography, resizing, compressing, and changing the color o...

We present an image processing method that converts a raster image to a simplical 2-complex which has only a small number of vertices (base mesh) plus a parameterization that maps each pixel in the original image to a combination of the barycentric coordinates of the triangle it is finally mapped into. Such a conversion of a raster image into a base mesh plus parameterization can be useful for ...

We present an image processing method that converts a raster image to a simplical 2-complex which has only a small number of vertices (base mesh) plus a parameterization that maps each pixel in the original image to a combination of the barycentric coordinates of the triangle it is finally mapped into. Such a conversion of a raster image into a base mesh plus parameterization can be useful for ...

Many aesthetic models in computer vision suffer from two shortcomings: 1) the low descriptiveness and interpretability of those hand-crafted aesthetic criteria (i.e., nonindicative of region-level aesthetics), and 2) the difficulty of engineering aesthetic features adaptively and automatically toward different image sets. To remedy these problems, we develop a deep architecture to learn aesthet...

Images play a vital role in steganography, as cover media to hide secret messages. Retargeting becomes mandatory while transmitting image in a heterogeneous network because sender and recipient may not have display devices of same resolution. Resizing images by scaling or cropping also lead to loss of visually important features. In steganography, resizing, compressing, and changing the color o...

This paper presents a very simple but efficient algorithm to normalize all motion data in database with same skeleton length. The input motion stream is processed sequentially while the computation for a single frame at each step requires only the results from the previous step over a neighborhood of nearby backward frames. In contrast to previous motion retargeting approaches, we simplify the ...

We describe a new system for automatic compiler retargeting. The system combines the advantages of C code generating compilers (fast retargeting) with the advantages of compilers based on speciica-tion driven code generation (fast native code generation). The basic idea is to use the native C compiler to discover architectural features (such as instruction set, register set, addressing modes, i...