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dc.contributor.author張銘峰en_US
dc.contributor.authorMing-Feng Changen_US
dc.contributor.author陳玲慧en_US
dc.contributor.authorLing-Hwei Chenen_US
dc.date.accessioned2014-12-12T02:25:11Z-
dc.date.available2014-12-12T02:25:11Z-
dc.date.issued2000en_US
dc.identifier.urihttp://140.113.39.130/cdrfb3/record/nctu/#NT890394057en_US
dc.identifier.urihttp://hdl.handle.net/11536/66960-
dc.description.abstract隨著多媒體應用及以內容為基礎人機互動的普及化,編碼系統的彈性和效率就變得越來越重要。ISO MPEG-4標準吸引許多研究者為以內容為基礎的存取及處理提供技術的解決方案。要滿足這個標準,從視訊中取出移動物體的技術是必須的。本論文將提出一種移動物體切割自動化的方法。這個方法是以移動向量、顏色差值及邊緣點為基礎。文中並提供一些實驗結果以說明此方法的效率優於既存的方法。zh_TW
dc.description.abstractWith the increasing popularity of multimedia applications and content-based interactivity, the flexibility and efficiency of the used coding systems becomes more and more important. The ISO MPEG-4 standard has attracted much attention recently for providing a technical standardized solution for content-based access and manipulation for these applications. To meet the standard, extracting moving objects from a video sequence is essential. In this thesis, a new automatic video sequence segmentation algorithm that will extract moving objects is presented. The algorithm is based on motion vectors, color difference and edge points. To show the effectives of the proposed method, some experimental results are also given to show that the proposed method is better than an existing method.en_US
dc.language.isoen_USen_US
dc.subject移動物體切割自動化zh_TW
dc.subject物體切割zh_TW
dc.subject物體擷取zh_TW
dc.subject移動向量zh_TW
dc.subject以內容為基礎zh_TW
dc.subject視訊壓縮zh_TW
dc.subjectobject segmentationen_US
dc.subjectobject retrievalen_US
dc.subjectcontent-based video compressionen_US
dc.subjectcontent-baseden_US
dc.subjectoptical flowen_US
dc.title數位視訊中移動物體切割自動化之研究zh_TW
dc.titleA study on automatic moving object segmentation for digital videoen_US
dc.typeThesisen_US
dc.contributor.department資訊科學與工程研究所zh_TW
顯示於類別:畢業論文