本文選題：小視頻檢索 + 分布式存儲(chǔ)��； 參考：《西安電子科技大學(xué)》2014年碩士論文

【摘要】：近幾年來(lái)，隨著“平安城市”建設(shè)的推廣，在公安刑偵等安防領(lǐng)域業(yè)務(wù)中視頻監(jiān)控系統(tǒng)得到了廣泛應(yīng)用。隨之而來(lái)的是監(jiān)控視頻信息的快速增長(zhǎng)，如何對(duì)海量的監(jiān)控視頻數(shù)據(jù)進(jìn)行有效的存儲(chǔ)和檢索成為視頻監(jiān)控檢索研究領(lǐng)域里的熱點(diǎn)問(wèn)題。 本文針對(duì)以上需求，在對(duì)監(jiān)控視頻數(shù)據(jù)和云計(jì)算技術(shù)研究的基礎(chǔ)上，設(shè)計(jì)并實(shí)現(xiàn)了一種基于HBase的海量小視頻存儲(chǔ)和檢索系統(tǒng)�？紤]到用戶(hù)真正關(guān)注的是海量視頻中包含目標(biāo)人物執(zhí)行某些動(dòng)作的視頻片段，為了更好的滿(mǎn)足用戶(hù)的需求，將系統(tǒng)的輸出設(shè)計(jì)為目標(biāo)人物執(zhí)行特定動(dòng)作的視頻片段。 系統(tǒng)首先根據(jù)MPEG-7標(biāo)準(zhǔn)，利用MPEG-7描述定義語(yǔ)言和標(biāo)準(zhǔn)描述子對(duì)視頻數(shù)據(jù)的圖像特征進(jìn)行描述，并以XML文件格式輸出。在對(duì)XML進(jìn)行編碼解析后，，通過(guò)一個(gè)數(shù)據(jù)映射模型將XML數(shù)據(jù)的樹(shù)形結(jié)構(gòu)映射到HBase的面向列的數(shù)據(jù)模型中。在數(shù)據(jù)檢索模塊中，將事件發(fā)生的時(shí)間、地點(diǎn)、目標(biāo)人物的圖像、目標(biāo)人物的動(dòng)作信息作為輸入，通過(guò)與視頻庫(kù)、視頻片段庫(kù)以及圖片信息庫(kù)中的值進(jìn)行匹配，最后按照相似度的大小順序輸出目標(biāo)視頻片段。本文設(shè)計(jì)了一組實(shí)驗(yàn)，并通過(guò)實(shí)驗(yàn)驗(yàn)證了本文提出的海量小視頻存儲(chǔ)和檢索系統(tǒng)的性能和有效性。
[Abstract]:In recent years, with the promotion of the construction of "Ping an City", video surveillance system has been widely used in the field of public security and criminal investigation. With the rapid growth of surveillance video information, how to effectively store and retrieve the massive surveillance video data has become a hot issue in the field of video surveillance retrieval. In this paper, based on the research of surveillance video data and cloud computing technology, a large amount of small video storage and retrieval system based on HBase is designed and implemented. Considering that what users really pay attention to is the video segment which contains some actions performed by the target person. In order to better meet the needs of the user, the output of the system is designed as the video segment of the target person to perform certain actions. Firstly, according to MPEG-7 standard, the system uses MPEG-7 description definition language and standard descriptor to describe the image features of video data, and outputs them in XML file format. After encoding and parsing XML, the tree structure of XML data is mapped to column oriented data model of HBase by a data mapping model. In the data retrieval module, the image of the target person, the image of the target person and the action information of the target person are used as input in the data retrieval module, which matches the values in the video library, the video segment library and the picture information base. Finally, the target video segment is output according to the order of similarity. In this paper, we design a set of experiments, and verify the performance and effectiveness of the proposed system of mass small video storage and retrieval.
【學(xué)位授予單位】：西安電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類(lèi)號(hào)】：TN948.6;TP391.3

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相關(guān)期刊論文 前2條

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本文編號(hào)：2050865