This paper formalizes several independent approaches on how to develop Semantic Web applications using object-oriented programming languages and Object-Triple Mapping. Using such mapping, Semantic Web applications have been developed up to three times faster compared to traditional Semantic Web software engineering. Results show that at the same time, developer satisfaction has been significant...

This paper proposes a framework for colour texture segmentation. The framework uses the colour and the texture distributions for discriminating the colour textured regions. The proposed colour texture segmentation method was tested in three different applications. The applications includes Irish Script on Screen (ISOS) images, skin cancer images and Sediment Profile Imagery (SPI). Image texture...

Semantic Interoperability is a major issue for National Spatial data Infrastructures (NSDIs) and mapping across heterogeneous databases is essential for such interoperability. Mapping of schemas based on ontology mapping provides opportunities for semantic translation of schemas elements and hence for database queries across heterogeneous sources. Such semantics based mappings are usually human...

OBJECTIVE Catheter-based pulmonary vein isolation (PVI) is an established therapy for paroxysmal atrial fibrillation. The high-density mesh mapper (HDMM) guides circumferential PV-atrium isolation without the 3D electroanatomic mapping. This study aims to compare circumferential pulmonary vein (CPV) anatomy mapping between guiding by a 3D mapping system and the HDMM. METHODS Forty-four consec...

When psychological studies of mental imagery revived in the late 1960s, arguments centered upon the question of whether mental imagery should be distinguished from language as a separate system of mental representation. Although mental imagery was repeatedly shown to facilitate word retrieval, this did not convince many psychologists that mental imagery and language are different kinds of repre...

The way features propagate in Fully Convolutional Networks is of momentous importance to capture multi-scale contexts for obtaining precise segmentation masks. This paper proposes a novel series-parallel hybrid paradigm called the Chained Context Aggregation Module (CAM) enrich feature representation. CAM gains various spatial scales through chain-connected ladder-style information flows and fu...

In this work, we propose a semantic flow-guided two-stage framework for shape-aware face swapping, namely FlowFace. Unlike most previous methods that focus on transferring the source inner facial features but neglect contours, our FlowFace can transfer both of them to target face, thus leading more realistic swapping. Concretely, consists reshaping network and swapping network. The addresses sh...