DC Field | Value | Language |
---|---|---|
dc.contributor.author | Moon, Seongwoo | ko |
dc.contributor.author | Lee, Sanghun | ko |
dc.contributor.author | Kim, Bum-Soo | ko |
dc.contributor.author | Moon, Yang-Sae | ko |
dc.date.accessioned | 2023-11-08T09:01:11Z | - |
dc.date.available | 2023-11-08T09:01:11Z | - |
dc.date.created | 2023-11-08 | - |
dc.date.issued | 2015-04 | - |
dc.identifier.citation | 2nd International Workshop on Semantic Computing and Personalization, SeCoP 2015, 2nd International Workshop on Big Data Management and Service, BDMS 2015 held in conjunction with 20th International Conference on Database Systems for Advanced Applications, DASFAA 2015, pp.286 - 292 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | http://hdl.handle.net/10203/314437 | - |
dc.description.abstract | In this paper, we propose a visualization tool for boundary image matching based on time-series matching techniques. The proposed tool works as a client-server model that first converts boundary images to time-series data and then exploits efficient time-series matching techniques. The client shows the matching results with different charts or graphs to provide various viewpoints. The server efficiently performs the time-series matching using the multidimensional index, which supports a huge number of image time-series. By adapting visualization techniques on time-series matching, we can easily and intuitively understand the boundary matching results as well as time-series matching results. In particular, our polar chart, which represents 1-D time-series to 2-D boundary images, may give a strong intuition of understanding various trends of time-series data. We provide five different visualization methods, and we believe that those methods will be very helpful to understand the matching results of image timeseries. | - |
dc.language | English | - |
dc.publisher | Springer Verlag | - |
dc.title | Visualization tool for boundary image matching based on time-series data | - |
dc.type | Conference | - |
dc.identifier.wosid | 000363771000029 | - |
dc.identifier.scopusid | 2-s2.0-84949984701 | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 286 | - |
dc.citation.endingpage | 292 | - |
dc.citation.publicationname | 2nd International Workshop on Semantic Computing and Personalization, SeCoP 2015, 2nd International Workshop on Big Data Management and Service, BDMS 2015 held in conjunction with 20th International Conference on Database Systems for Advanced Applications, DASFAA 2015 | - |
dc.identifier.conferencecountry | VN | - |
dc.identifier.conferencelocation | Hanoi | - |
dc.identifier.doi | 10.1007/978-3-319-22324-7_29 | - |
dc.contributor.localauthor | Kim, Bum-Soo | - |
dc.contributor.nonIdAuthor | Moon, Seongwoo | - |
dc.contributor.nonIdAuthor | Lee, Sanghun | - |
dc.contributor.nonIdAuthor | Moon, Yang-Sae | - |
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