نتایج جستجو برای: coding and compression algorithms
تعداد نتایج: 16879575 فیلتر نتایج به سال:
We investigate the increasing popularity of technologies such as Internet streaming video and video conferencing, video compression has became an essential component of broadcast and entertainment media. Here we make use of new motion estimation algorithm with a video coding standard MPEG-4, has achieved significant compression by utilizing several advanced techniques. Here we use three types o...
Homogeneous data in radiological image databases consumes an extraordinary amount of storage space. An example of this is the multiple voxels representing different cross sections of a body part being imaged, which are referred to as volumetric data sets. Lossless compression algorithms are imperative for efficient storage and transmission of volumetric data sets. This paper presents a diagnost...
Multi-dimensional data structures have been widely applied in many data management fields. Spatial data indexing is their natural application, however there are many applications in different domain fields. When a compression of these data structures is considered, we follow two objectives. The first objective is a smaller index file, the second one is a reduction of the query processing time. ...
The key role compression plays in efficient information retrieval systems has been recognized for some time. However, applying a traditional compression algorithm to the contents of an information retrieval system is often not the best solution. For example, it is inefficient to perform search operations in maximally compressed data or to find the intersection of maximally compressed sets. In o...
Compression is a relatively new introduced technique for seismic data operations. The main drive behind the use of data compression in seismic data is the very large size of seismic data acquired. Some of the most recent acquired marine seismic data sets exceed 10 Tbytes, and in fact there are currently seismic surveys planned with a volume of around 120 Tbytes. Thus, the need to compress these...
One of the important issue in MANETs is energy saving. Recent studies show that Network coding can reduces energy consumption by less transmission in MANETs. Encryption/decryption, transmission cost and transmission time are worked as source of energy consumption in MANETs. Network coding provides intrinsic security based on which encryption can be done quite efficiently, but to provide securit...
Data compression (or source coding) is the process of creating binary representations of data which require less storage space than the original data 7; 14; 15]. Lossless compression is used where perfect reproduction is required while lossy compression is used where perfect reproduction is not possible or requires too many bits. Achieving optimal compression with respect to resource constraint...
In order to satisfy the needs of new applications in a multi-resolution environment the problem of object{ oriented coding has to be addressed. In this paper two main approaches are presented to tackle this problem. First, an algorithm for shape coding is presented. It is based on a chain coding algorithm where powerful modeling techniques are used to increase the compression ratio. Second, an ...
The latest H.264/AVC video compression standard promises significantly higher compression efficiency than prior standards. H.264/AVC achieves coding gains through a rich set of advanced coding tools including variable block size motion compensation, quarter-pel motion compensation and long-term memory motion compensation [1]. However, with so many coding options available, it has become extreme...
Traditional image and video compression algorithms rely on hand-crafted encoder/decoder pairs (codecs) that lack adaptability and are agnostic to the data being compressed. Here we describe the concept of generative compression, the compression of data using generative models, and suggest that it is a direction worth pursuing to produce more accurate and visually pleasing reconstructions at muc...
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