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POINT CLOUD SEGMENTATION AND SEMANTIC ANNOTATION AIDED BY GIS DATA FOR HERITAGE COMPLEXES
Point Cloud Segmentation Semantic GIS Heritage Complex Automation
2019/3/4
Point cloud segmentation is an important first step in categorising a raw point cloud data. This step is necessary in order to better manage the data and generate other derivative products, e.g. 3D GI...
DIZI: A Digital Ink Zooming Interface for Document Annotation
Document Annotatio Zooming Interface
2016/5/24
Pen computing devices provide a natural interface for annotating
documents with freeform digital ink. However, digital ink annotations are usually
larger and sloppier than real ink annotations on pa...
On Point Feature Automatic Annotation Placement in 3D Environment
Geography Cartography Three-dimensional Visualization Virtual Reality System
2015/12/3
Based on the research of the automatic annotation placement in two-dimensional (2D) domain, automatic annotation rules of point feature in the three-dimensional (3D) field are proposed. In this paper,...
SEMANTIC ANNOTATION OF EXISTING GEO-DATASETS: A CASE STUDY OF DISASTER RESPONSE IN NETHERLANDS
Geo-information Semantic Web Ontology Disaster Response CityGML
2014/4/24
Use of relevant geo-information is one of the important issues for performing different tasks and processes in disaster response
phase. In order to save time and cost, services could be employed for...
Reducing Annotation Effort for Quality Estimation via Active Learning
Reducing Annotation Effort Quality Estimation via Active Learning
2014/3/20
Quality estimation models provide feedback on the quality of machine translated texts. They are usually trained on humanannotated datasets, which are very costly due to its task-specific nature. We in...
The Annotation Game:On Turing (1950) on Computing, Machinery,and Intelligence
Turing Test computation robotics mind/body problem other-minds problem computationalism cognition
2015/8/1
This quote/commented critique of Turing's classical paper suggests that Turing meant -- or should have meant -- the robotic version of the Turing Test (and not just the email version). Moreover, any d...
Exploring Statistical Properties for Semantic Annotation: Sparse Distributed and Convergent Assumptions for Keywords
Semantic Annotation Sparse Distributed Convergent Assumptions
2010/12/21
Does there exist a compact set of visual topics in form of keyword clusters capable to represent all images visual content within an acceptable error? In this paper, we answer this question by analyzi...
Spontaneous speech1,2 and dialectal speech 3,4 are two major issues that af fect the performance of Chinese automatic speech recognition (ASR).
A Hierarchical Image Annotation Method Based on SVM andSemi-Supervised EM
Hierarchical image annotation support vector machine(SVM) semi-supervised expectation-maximization
2010/2/23
Automatic image annotation, which aims at automatically
identifying and then assigning semantic keywords to the meaningful
objects in a digital image, is not a very difficult task for human
but has...
This paper presentsthe current status, trends and tools of Web resource annotation withinthe context of the Semantic Web, the Web 2.0, and what is known as theWeb 3.0, the fusion of the Semantic Web a...
Cross-media manifold learning for image retrieval & annotation
Cross-media image retrieval
2010/12/17
Fusion of visual content with textual information is an effective way for both content-based and keyword-based image retrieval.However, the performance of visual & textual fusion is affected greatly b...
Image Objects and Multi-Scale Features for Annotation Detection
Image Objects Multi-Scale Annotation Detection
2010/12/17
This paper investigates several issues in the problem of detecting handwritten markings, or annotations, on printed documents. One issue is to define the appropriate units over which to perform featur...
Real-Time image Annotation by Manifold-based Biased Fisher Discriminant Analysis
Real-Time image Annotation Manifold-based
2010/12/20
Automatic Linguistic Annotation is a promising solution to bridge the semantic gap in content-based image retrieval.However, two crucial issues are not well addressed in state-of-art annotation algori...
Image Objects and Multi-Scale Features for Annotation Detection
Image Objects Multi-Scale Features Annotation Detection
2013/7/17
This paper investigates several issues in the problem of detecting handwritten markings, or annotations, on printed documents. One issue is to define the appropriate units over which to perform ...
Cross-Media Manifold Learning for Image Retrieval & Annotation
Automatic image annotation Manifold learning Content-based image retrieval Web image search Co-training
2013/7/17
Fusion of visual content with textual information is an effective way for both content-based and keyword-based image retrieval. However, the performance of visual & textual fusion is affected greatly ...