政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/112154

政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/112154

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政大機構典藏 > 商學院 > 資訊管理學系 > 學位論文 > Item 140.119/112154

請使用永久網址來引用或連結此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/112154

題名:	基於物聯網應用與服務之串流資料壓縮 Content-sensitive Data Compression for IoT Streaming Services
作者:	許峻基 Hsu, Chun-Chi
貢獻者:	郁方 Yu, Fang 許峻基 Hsu, Chun-Chi
關鍵詞:	物聯網串流資料壓縮影像處理 IoT Streaming Data compression Image processing
日期:	2017
上傳時間:	2017-08-28 11:25:19 (UTC+8)
摘要:	隨著科技的進步，更快更可靠的網路使得物聯網成為可能。而伴隨著物聯網科技的發展而來的，是如何處理從終端裝置中，所收集的巨量資料。本文希望能藉由影像處理，利用分解與比對來自物聯網裝置的串流影片，找出在一定影片檔案壓縮比率之下，最佳的影片品質。除此之外，我們在實驗中還能夠藉由操作不同的比較參數，讓影片壓縮的演算法能夠在不同的情境下，藉由調整參數權重，找出最適合該情境的壓縮演算法配置，藉此達到減少儲存空間需求的目的。在實驗中，我們建立基本的物聯網串流應用，並且能夠在與原影片96.5%的差異度之下，達到40%的影格儲存空間精簡優化。 The progression of cheaper, faster and more reliable Internet technology makes Internet of Things (IoT) realized in life. While tremendous data are collected from end devices, scalable and effective data compression techniques are needed to balance storage and precision. This paper presents an adjustable content-sensitive data compression approach for IOT streaming services and applications. Specifically, we apply frame similarity on various aspects such as illumination and structure to streaming frames, and are able to keep sufficient differences among steaming data while reducing significant amount of storage. We setup a general iot application platform in practice and show that with the presented approach, we are able to keep 96.5% precision with 40% frame reduction on the steaming data collected in real life.
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描述:	碩士國立政治大學資訊管理學系 104356012
資料來源:	http://thesis.lib.nccu.edu.tw/record/#G0104356012
資料類型:	thesis
顯示於類別:	[資訊管理學系] 學位論文

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