In this paper, a lossy partition coding technique is presented which leads to decoded partitions with unnoticeable losses. It uses an hexagonal grid for contour representation and it is based on the concept of Multi-Grid Chain Code. This coding technique can be used in intra-frame mode or, in combination with partition prediction techniques, in inter-frame mode. In intra-frame mode, it leads to...

As the amount of data rises and application needs expand, the efficient organization and management of remote sensing data has become a bottleneck restricting the application of remote sensing technology. The Global Partition Theory (GPT) and high performance computing provide an approach to solve the above mentioned problems. GPT studies how the Earth's surface is split into different levels o...

The IBM eServer z990 provides tremendously increased processor, I/O, and memory capacity exceeding the capability of even the premier IBM operating systems. The modular or book-form system topology of the z990 enables a highly flexible and more cost-effective concurrent upgrade infrastructure, as well as improved hardware failure survivability and serviceability. The multibook form of the z990 ...

Abstract In this paper, we present E-ReMI, a new method for studying two-way interaction in row by column (i.e., two-mode) data. E-ReMI is based on probabilistic two-mode clustering model that yields partition of the data with maximal between and clusters. The proposed extends REMAXINT allowing unequal cluster sizes clusters, thus introducing more flexibility model. manuscript, use conditional ...

asthma, which is mainly distinguished by airway inflammation and bronchial hyper responsiveness, is known as one of the most common chronic diseases worldwide. it also is the most frequent chronic respiratory disorder amongst all age groups. on one side of the asthma story, there are massive investment of time, effort and money, a large number of pharmaceutical and academic research studies, he...

In this paper a segmented video codec with hybrid motion estimation and inherent bit rate control capability is presented. The first frame in the data is always encoded in intraframe mode, while the rest of the frames are encoded in interframe mode. The interframe encoding is based on (1) hybrid conventional/perspective block motion vector estimation and coding, and (2) coding of the prediction...

Since the traditional Support Vector Machine (SVM) algorithm has high classification accuracy at the expense of huge training samples, an automatic hyperspectral image classification method based on subspace partition and SVM (ASP-SVM) algorithm is proposed. In this proposed method, the endmembers were extracted as the representative samples for each class, and a coarse classification result is...

High Efficiency Video Coding (HEVC) significantly reduces bit-rates over the preceding H.264 standard but at the expense of extremely high encoding complexity. In HEVC, the quad-tree partition of coding unit (CU) consumes a large proportion of the HEVC encoding complexity, due to the bruteforce search for rate-distortion optimization (RDO). Therefore, this paper proposes a deep learning approac...

This paper deals with the coding of the partition information resulting from the segmentation of video se quences Motion compensation of partition sequences is described as an e cient inter frame mode of coding It involves the prediction of the partition the computation of the partition compensation error the simpli cation of the error and its transmission The major issues and processing steps ...