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» Ontology Based Semantic Image Interpretation
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KCAP
2005
ACM
15 years 4 months ago
Matching utterances to rich knowledge structures to acquire a model of the speaker's goal
An ultimate goal of AI is to build end-to-end systems that interpret natural language, reason over the resulting logical forms, and perform actions based on that reasoning. This r...
Peter Z. Yeh, Bruce W. Porter, Ken Barker
ICMCS
2006
IEEE
124views Multimedia» more  ICMCS 2006»
15 years 4 months ago
Combining Textual and Visual Ontologies to Solve Medical Multimodal Queries
In order to solve medical multimodal queries, we propose to split the queries in different dimensions using ontology. We extract both textual and visual terms depending on the ont...
Saïd Radhouani, Joo-Hwee Lim, Jean-Pierre Che...
ISI
2006
Springer
14 years 10 months ago
Semantic Analytics Visualization
In this paper we present a new tool for semantic analytics through 3D visualization called "Semantic Analytics Visualization" (SAV). It has the capability for visualizing...
Leonidas Deligiannidis, Amit P. Sheth, Boanerges A...
CVPR
2010
IEEE
15 years 7 months ago
Building and Using a Semantivisual Image Hierarchy
A semantically meaningful image hierarchy can ease the human effort in organizing thousands and millions of pictures (e.g., personal albums), and help to improve performance of en...
Li-Jia Li, Chong Wang, Yongwhan Lim, David Blei, L...
TIP
2008
85views more  TIP 2008»
14 years 10 months ago
A Scale-Based Connected Coherence Tree Algorithm for Image Segmentation
This paper presents a connected coherence tree algorithm (CCTA) for image segmentation with no prior knowledge. It aims to find regions of semantic coherence based on the proposed ...
Jundi Ding, RuNing Ma, Songcan Chen