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dc.contributor.author王聆音en_US
dc.contributor.authorLin-In Wangen_US
dc.contributor.author梁婷en_US
dc.contributor.authorTyne Liangen_US
dc.date.accessioned2014-12-12T02:25:06Z-
dc.date.available2014-12-12T02:25:06Z-
dc.date.issued2000en_US
dc.identifier.urihttp://140.113.39.130/cdrfb3/record/nctu/#NT890394003en_US
dc.identifier.urihttp://hdl.handle.net/11536/66901-
dc.description.abstract我們將影片擷取的相關技術應用在科學計算所得的資料上,特別是渦流方面的資料。建立一個系統可以幫助專家快速且方便的得到他們所想要的資訊。系統將會自動擷取渦流、分流點以及靜止點。為了能夠快速的瀏覽及擷取所需要的資料,系統將取出影片中幾張重要的影像來代表一段影片,一般稱這樣的影像為重點影像。另外,我們建立索引以便能夠快速獲得所想要的資訊。從實驗結果顯示,此系統不但可以擷取到所要的渦流特徵以及重點影像,並可以過濾掉大量不相關的資料,自動且快速的得到使用者所想要的資料。zh_TW
dc.description.abstractWe use the techniques of video retrieval on scientific computing data, especially on vortex data. We build a system that can help expert to get the information fast and conveniently. The system will extract vortex, separation point and stagnation point. In order to efficiently browse and retrieve the information, the system will extract a small number of key frames. We also construct index for extracting the information fast. The experimental results indicate that the system can extract vortex features and key frames and filter many nonrelevant data to get the information fast.en_US
dc.language.isozh_TWen_US
dc.subject影片擷取zh_TW
dc.subject渦流zh_TW
dc.subject分流點zh_TW
dc.subject靜止點zh_TW
dc.subject重點影像zh_TW
dc.subjectvideo retrievalen_US
dc.subjectvortexen_US
dc.subjectseparation pointen_US
dc.subjectstagnation pointen_US
dc.subjectkey frameen_US
dc.title應用以內容為基底的影像擷取技術在渦流資料zh_TW
dc.titleContent-based Image Retrieval for Vortex Flow Data Learning Environmenten_US
dc.typeThesisen_US
dc.contributor.department資訊科學與工程研究所zh_TW
Appears in Collections:Thesis