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Approximate Video Search Based on Spatio-Temporal Information of Video Objects

並列摘要


The spatio-temporal information of a video object is important for content-based video retrieval. In this paper the spatio-temporal information of a video object, such as the velocity, location and orientation of a video object, is represented by an ST-string. Since the user may not be interested in all spatio-temporal information, the user query can be represented by a QST-string which contains some spatio-temporal information only, such as the velocity and orientation of a video object. Therefore, the video retrieval problem can be transformed into the problem of approximately matching a QST-string with ST-strings. A general solution is proposed in this paper, which includes a similarity measure, an index structure and the corresponding matching methodology. The experiment results show that both the approximate and exact results can be found efficiently via the proposed index structure and the matching algorithm.

被引用紀錄


Jung, C. H. (2011). 用於交通預測之二層資料分群法 [master's thesis, National Chiao Tung University]. Airiti Library. https://doi.org/10.6842/NCTU.2011.01165
Lin, C. J. (2004). 中文開放領域自動問答系統之研究 [doctoral dissertation, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU.2004.01539
陳杰興(2012)。使用GPU進行哼唱選歌的比對加速機制〔碩士論文,國立清華大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0016-2002201315412423
莊詠翔(2014)。加速以多GPU為運算核心的二階段哼唱選歌系統〔碩士論文,國立清華大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0016-2912201413550391
Hsieh, C. H. (2014). 人工智慧個人助理之設計與實作 [doctoral dissertation, National Chung Cheng University]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0033-2110201613585917

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