Multimedia Web services constitute a considerable load on Internet bandwidth and on Web servers. With the increasing demand of multimedia Web services, the need to maintain a respectable QoS is a major concern for multimedia Web services’ providers. Binary data compression, lossy and lossless, increases performance gain and maintains QoS, at large and small-scale implementations. At the expense...

Continuing experimental work on SAS data set compression presented at NESUG in 2004, I designed another two-factor factorial experiment. My first factor compares the three kinds of data set compression offered by SAS on UNIX; the SAS DATA set OPTIONS COMPRESS=CHAR, COMPRESS=BINARY and SAS sequential format files created with the V9TAPE engine, three UNIX file compression algorithms; compress, g...

extended release formulation of alfuzosin, an a-antagonist used for prostatic hypertrophy, is available in market. it is convenient for older patients to take only one tablet a day. marketed alfuzosin formulation is three layered geomatrix tablet that requires special facilities, high cost, more time and complex operation than normal direct compression formulation. therefore, a less complicated...

Efficient image compression technique especially for medical applications is presented. Dyadic wavelet decomposition by use of Antonini and Villasenor bank filters is followed by adaptive space-frequency quantization and zerotree-based entropy coding of wavelet coefficients. Threshold selection and uniform quantization is made on a base of spatial variance estimate built on the lowest frequency...

The rise of internet has resulted in an explosion of data consisting of millions of articles, images, songs, and videos. Most of this data is high dimensional and sparse. The need to perform an efficient search for similar objects in such high dimensional big datasets is becoming increasingly common. Even with the rapid growth in computing power, the bruteforce search for such a task is impract...

The idea behind image compression is the reduction of the average number of bits per pixel needed for its representation. Indeed, our study of still image compression is based on the non-conservative compression method. This means that the reconstructed image, after a compression/decompression cycle, will be different from the original one. In fact, such a difference brings about a degradation ...

CONSISTENCY IN MICROCALCIFICATION DETECTION Olga Kosheleva, Jesus Arenas, Mariano Aguirre, Carlos Mendoza, and Sergio D. Cabrera Dept. of Electrical and Computer Engineering University of Texas at El Paso El Paso Texas 79968-0523 U.S.A. folga,[email protected] ABSTRACT In this paper we motivate, de ne and illustrate the behavior of four scalar metrics which measure the degree to which micro...

How to effectively approximate real-valued parameters with binary codes plays a central role in neural network binarization. In this work, we reveal an important fact that binarizing different layers has a widely-varied effect on the compression ratio of network and the loss of performance. Based on this fact, we propose a novel and flexible neural network binarization method by introducing the...

We study domain-specific video streaming. Specifically, we target a streaming setting where the videos to be streamed from a server to a client are all in the same domain and they have to be compressed to a small size for low-latency transmission. Several popular video streaming services, such as the video game streaming services of GeForce Now and Twitch, fall in this category. While conventio...

Finding optimal data for inpainting is a key problem for imagecompression with partial differential equations. Not only the location of important pixels but also their values should be optimal to maximise the quality gain. The position of important data is usually encoded in a binary mask. Recent studies have shown that allowing non-binary masks may lead to tremendous speedups but comes at the ...