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Two Stream 3D Semantic Scene Completion [article]

Martin Garbade, Yueh-Tung Chen, Johann Sawatzky, Juergen Gall
2019 arXiv   pre-print
In our experimental evaluation, we show that the proposed two stream approach substantially outperforms the state-of-the-art for semantic scene completion.  ...  In this work, we propose a two stream approach that leverages depth information and semantic information, which is inferred from the RGB image, for this task.  ...  Conclusions In this work, we have proposed a two stream approach for 3D semantic scene completion.  ... 
arXiv:1804.03550v4 fatcat:6bxtk7pcbfflhnirvsr5jrfhjq

Contrasting RDF Stream Processing Semantics [chapter]

Minh Dao-Tran, Harald Beck, Thomas Eiter
2016 Lecture Notes in Computer Science  
The recent logic-based LARS framework provides a theoretical underpinning to analyze stream processing/reasoning semantics.  ...  semantics.  ...  This has led to the development of data models, query languages and processing engines, which diverge in several aspects, ranging from the representation of RDF streams, execution modes [17] , to semantics  ... 
doi:10.1007/978-3-319-31676-5_21 fatcat:aqpuntysizbj7ffivualwbunlm

Automatic programming with semantic streams

Kamin Whitehouse, Feng Zhao, Jie Liu
2005 Proceedings of the 3rd international conference on Embedded networked sensor systems - SenSys '05  
Each service has a first-order logic description of the semantic information that it needs to be in its input streams and that it adds to its output streams.  ...  Our framework uses a semantic services programming model [2] , where each service is an inference unit that infers semantic information about the world and incorporates it into an event stream.  ... 
doi:10.1145/1098918.1098959 dblp:conf/sensys/WhitehouseZL05 fatcat:ngyxzyzd7ncvjhgpwyu77ga3mm

Fixed Point Semantics for Stream Reasoning [article]

Christian Antić
2020 arXiv   pre-print
Recently, the rule-based formalism {\em LARS} for non-monotonic stream reasoning under the answer set semantics has been introduced.  ...  More precisely, we contribute to the foundations of stream reasoning by providing an operational fixed point semantics for a fully flexible variant of LARS and we show that our semantics is sound and constructive  ...  semantics from ordinary to stream logic programs.  ... 
arXiv:2005.08384v1 fatcat:aoat7qpnirhxzbvsegyc24j3lu

Distributed Reasoning on Semantic Data Streams [chapter]

Rehab Albeladi
2012 Lecture Notes in Computer Science  
In this paper, we present our approach to enable rule-based reasoning on semantic data streams using data flow networks in a distributed manner.  ...  Stream Reasoning is the area that aims to combine reasoning techniques with data streams.  ...  Furthermore, stream processing engines cannot perform complex reasoning tasks due to the lack of semantics [3] .  ... 
doi:10.1007/978-3-642-35173-0_33 fatcat:r5wakypherbrlbyaz65rvnpa4q

Finding Commonalities in RFID Semantic Streams

Michele Ruta, Simona Colucci, Floriano Scioscia, Eugenio Di Sciascio, Francesco M. Donini
2011 Procedia Computer Science  
A stream is a time-ordered sequence of data values. It is possible to define a semantic stream as a time-ordered sequence of metadata, i.e., a concept stream.  ...  It may derive from a collection of semantic annotations referred to objects/subjects whose status evolves during a process as in case of product flow in supply chains.  ...  . , S n of semantic streams, with each stream S i made up by a collection of concept descriptions in ALN(D) representing products in the stream.  ... 
doi:10.1016/j.procs.2011.07.118 fatcat:qs4h2j66pfhildt66wx2qhnnzq

Semantic Web-based Video Streaming Application

Samir Abou El-Seoud, Ashraf M. A. Ahmad
2008 International Journal of Emerging Technologies in Learning (iJET)  
An efficient moving object extraction algorithm suitable for real-time content-based multimedia streaming systems is proposed in this paper.  ...  VIDEO STREAMING To link the sender, receiver and transmission channel for real time displaying video sequences, a standard RTP based network streaming technique is used.  ...  Our object extraction algorithm requires motion vectors of each P-frame from the video streams. Our system takes the motion vectors from the compressed video stream as the only input.  ... 
doi:10.3991/ijet.v3i4.195 fatcat:7qn7actymvfela362zc4hma7qy

Semantic approximation of data stream joins

A. Das, J. Gehrke, M. Riedewald
2005 IEEE Transactions on Knowledge and Data Engineering  
We consider the problem of approximating sliding window joins over data streams in a data stream processing system with limited resources.  ...  In our model, we deal with resource constraints by shedding load in the form of dropping tuples from the data streams. We make two main contributions.  ...  Semantic Join Approximation. We address the problems outlined above by introducing the notion of Semantic Join Approximation (SJA).  ... 
doi:10.1109/tkde.2005.17 fatcat:po2nef45xfes5psusosztbwyu4

Semantic Enrichment of Streaming Healthcare Data [article]

Daniel Cotter, V. K. Cody Bumgardner
2019 arXiv   pre-print
To validate the effectiveness of the semantic engine, we perform simulations of real-time data feeds and demonstrate how they can be combined and used by client-side applications with no knowledge of the  ...  One such application was complex event processing (CEP), in which streams of data are analyzed in search of events in real time [17] .  ...  We expect the system can be used to inform artificial intelligence for inference, populate structured databases with enriched data streams, and derive new data for use in machine learning training.  ... 
arXiv:1912.00423v1 fatcat:ro3trbysz5fwncsaw43zh7zyk4

Semantic stability in social tagging streams

Claudia Wagner, Philipp Singer, Markus Strohmaier, Bernardo A. Huberman
2014 Proceedings of the 23rd international conference on World wide web - WWW '14  
Our results show that tagging streams which are generated by a combination of imitation dynamics and shared background knowledge exhibit faster and higher semantic stability than tagging streams which  ...  (ii) Does semantic stabilization of tags vary across different social tagging systems and ultimately, (iii) what are the factors that can explain semantic stabilization in such systems?  ...  Harry Halpin for assistance with his semantic stability measure. This work is in part funded by the FWF Austrian Science Fund Grant I677.  ... 
doi:10.1145/2566486.2567979 dblp:conf/www/WagnerSSH14 fatcat:3hyhkg4wr5hnhbbcrtyuhhmrve

Integrating Streaming Data into Semantic Mashups

A. Min Tjoa, Peter Wetz, Elmar Kiesling, Tuan-Dat Trinh, Ba-Lam Do
2015 Procedia Computer Science  
Finally, it is difficult for nontechnical users to integrate and leverage streaming data.  ...  However, turning vast real-time data streams into actionable knowledge poses significant challenges.  ...  Despite these promising developments, semantic data streams are still largely out of reach from an end user's perspective. How can end users utilize and process such streams?  ... 
doi:10.1016/j.procs.2015.12.098 fatcat:bidz3zl4x5huzguoq5mjwieauy

Semantic Stability in Social Tagging Streams

Claudia Wagner, Philipp Singer, Markus Strohmaier, Bernardo A. Huberman
2013 Social Science Research Network  
Our results show that tagging streams which are generated by a combination of imitation dynamics and shared background knowledge exhibit faster and higher semantic stability than tagging streams which  ...  (ii) Does semantic stabilization of tags vary across different social tagging systems and ultimately, (iii) what are the factors that can explain semantic stabilization in such systems?  ...  Harry Halpin for assistance with his semantic stability measure. This work is in part funded by the FWF Austrian Science Fund Grant I677.  ... 
doi:10.2139/ssrn.2337823 fatcat:n6kfy34cfbgoro3vp7i4mscw4u

Semantic Stability in Social Tagging Streams [article]

Claudia Wagner, Philipp Singer, Markus Strohmaier, Bernardo A. Huberman
2013 arXiv   pre-print
Our results show that tagging streams which are generated by a combination of imitation dynamics and shared background knowledge exhibit faster and higher semantic stability than tagging streams which  ...  are generated via imitation dynamics or natural language streams alone.  ...  Harry Halpin for assistance with his semantic stability measure. This work is in part funded by the FWF Austrian Science Fund Grant I677.  ... 
arXiv:1311.1162v1 fatcat:v3gqzwiukvbwrk3uonordy2v6u

Semantic Enrichment of Streaming Healthcare Data [article]

Daniel L Cotter, Cody Bumgardner
2019 medRxiv   pre-print
To validate the effectiveness of the semantic engine, we perform simulations of real-time data feeds and demonstrate how they can be combined and used by client-side applications with no knowledge of the  ...  One such application was complex event processing (CEP), in which streams of data are analyzed in search of events in real time [17] .  ...  Another challenge was that RDF does not easily support streams [24] . With each query, all matching results are returned, not only the new results since the last query.  ... 
doi:10.1101/2019.12.01.19013615 fatcat:3ph7cahelrenhggpa7xyw542y4

Semantics of Data Streams and Operators [chapter]

David Maier, Jin Li, Peter Tucker, Kristin Tufte, Vassilis Papadimos
2004 Lecture Notes in Computer Science  
February 2005 Stream Semantics 3 What does a stream mean?  ...  February 2005 Stream Semantics February 2005 Stream Semantics February 2005 Stream Semantics 38 Questions Niagara West: http://www.cse.ogi.edu/dot/niagara  ...  37 Find an effective way to describe disorder; effective = can determine for a stream can sythesize can calculate latency vs. accuracy trade-offs Use properties of window specifications to determine properties  ... 
doi:10.1007/978-3-540-30570-5_3 fatcat:6uyir2if6zecphnw5cjgrdcphu
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