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  • 學位論文

隨身影片編輯系統

Point-of-Capture Archiving and Editing of Personal Experiences from a Mobile Device

指導教授 : 朱浩華

摘要


在電腦輔助錄製,儲存,編輯,以及利用數位個人經歷上。個人經歷計算是ㄧ個新興的研究領域。 這項研究呈現我們的對行動編輯工具稱作mProducer的設計,實作,以及驗證。它能允許日常使用者在具有錄影功能的行動裝置上錄製影片後,立即且有效率的完成壓縮以及編輯數位內容。 這是個關鍵性的能力,允許使用者在任何時間,任何地點,立即分享數位個人經歷。比方說,發生在紐約的911事件中,我們已經可以看見擁有手持攝影機的人錄製和報導他們的個人目擊經歷。靠著mProducer,他們可以在錄製影片後立即編輯,並且在網路上分享這些具有價值以及時間緊迫性的數位經歷。為了解決在行動裝置上,有限的使用者介面,和有限的系統資源,這兩項挑戰。 mProducer 提供了如下具創新性的系統技術以及使用者介面設計。(1) 關鍵畫面為基礎的使用者編輯介面允許日常使用者從行動裝置上只使用關鍵畫面簡單地,有效率地編輯被錄製的數位經歷。 (2) SCU演算法,當在錄製過程中,靠著上傳至遠端的主機來壓縮連續的多媒體資料,這方法減緩行動裝置上儲存體不足的問題。(3) 感測器輔助自動編輯,使用從GPS 接收器和安裝在行動裝置上的平衡感測器來提供以位置為基礎的內容管理, 以及自動刪除掉因為手部晃動所照成的不清楚的片段。通過使用者測試,mProducer在編輯的過程,品質, 完成編輯的時間,簡易使用和學習上都得到高度的肯定。

關鍵字

個人經歷計算

並列摘要


Personal experience computing is an emerging research area in computing support for capturing, archiving, editing, and utilizing of digital personal experiences. This work presents our design, implementation, and evaluation of a mobile authoring tool called mProducer that enables everyday users to effectively and efficiently perform archiving and editing at or immediately after the point-of-capture of digital personal experiences from their camera-equipped mobile devices. This point-of-capture capability is crucial to enable immediate sharing of digital personal experiences anytime, anywhere. For example, we have seen everyday people who used handheld camcorders to capture and report their personal, eye-witnessed experiences during the September 11 2001 terrorist attack in New York [29]. With mProducer, they would be able to perform editing immediately after the point of capture, and then share these news-worthy, time-sensitive digital experiences on the Internet. To address the challenges in both user interface constraints and limited system resources on a mobile device, mProducer provides the following innovative system techniques and UI designs. (1) Keyframe-based editing UI enables everyday users to easily and efficiently edit recorded digital experiences from a mobile device using only key frames with the storyboard metaphor. (2) Storage constrained uploading (SCU) algorithm archives continuous multimedia data by uploading them to remote storage servers at the point-of-capture, so that it alleviates the problem of limited storage on a mobile device. (3) Sensor-assisted automated editing uses data from a GPS receiver and a tilt sensor attached to a mobile device to facilitate two manual editing steps at the point-of-capture: removal of blurry frames from hand-induced camera shaking, and content search via location-based content management. We have conducted user studies to evaluate mProducer. Results from the user studies have shown that mProducer scores high in user satisfaction in editing experience, editing quality, task performance time, ease-of-use, and ease-of-learning.

參考文獻


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[12] Tero Jokela, “Authoring tools for mobile multimedia content,” IEEE Int’l Conf. on Multimedia and Expo (ICME), pages 637–640, 2003.
[13] Nicky Kern, Bernt Schiele, Holger Junker, Paul Lukowicz, Gerhard Tr¨oster, and Albrecht Schmidt, “Context Annotation for a Live Life Recording,” In Pervasive 2004 Workshop on Memory and Sharing of Experiences, 2004.
[14] Anita Kumlodi, Gary Marchionini, “Key frame preview techniques for video browsing,” ACM International Conference on Digital Libraries, pages 118–125, 1998.

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