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dc.contributor.author滕旭之en_US
dc.contributor.authorHsu-Chih Tengen_US
dc.contributor.author陳登吉en_US
dc.contributor.authorDeng-Jien_US
dc.date.accessioned2014-12-12T03:10:14Z-
dc.date.available2014-12-12T03:10:14Z-
dc.date.issued2006en_US
dc.identifier.urihttp://140.113.39.130/cdrfb3/record/nctu/#GT009455620en_US
dc.identifier.urihttp://hdl.handle.net/11536/82138-
dc.description.abstractIn the recent years, as the Internet becomes more popular, network bandwidth are cheaper and larger, and new web technologies emerging, rich contents can be delivered over the Internet and user can interact with these contents. In this research, we are focusing on how to acquire and deliver a large image over the current network environment, because the image size will be over hundreds of megabytes to gigabytes, to deliver this in the existing network will be very tedious, so we need a methodology that solve this issue. In addition to plain images, we also add multimedia annotations like video, audio, text and image to make the contents more interesting and useful. We will use pathology virtual slide and GPS navigation as our examples to illustrate the feasibility and applicability of the proposed methodology.zh_TW
dc.description.abstractIn the recent years, as the Internet becomes more popular, network bandwidth are cheaper and larger, and new web technologies emerging, rich contents can be delivered over the Internet and user can interact with these contents. In this research, we are focusing on how to acquire and deliver a large image over the current network environment, because the image size will be over hundreds of megabytes to gigabytes, to deliver this in the existing network will be very tedious, so we need a methodology that solve this issue. In addition to plain images, we also add multimedia annotations like video, audio, text and image to make the contents more interesting and useful. We will use pathology virtual slide and GPS navigation as our examples to illustrate the feasibility and applicability of the proposed methodology.en_US
dc.language.isoen_USen_US
dc.subject虛擬玻片zh_TW
dc.subject註解zh_TW
dc.subject方法論zh_TW
dc.subjectvirtual slideen_US
dc.subjectannotationen_US
dc.subjectmethodologyen_US
dc.title在大張影像圖上加上多媒體註解的方法及註解系統的設計與製作zh_TW
dc.titleA methodology for adding annotation to large image mapen_US
dc.typeThesisen_US
dc.contributor.department資訊科學與工程研究所zh_TW
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