【摘要】：隨著市場經(jīng)濟(jì)的深入發(fā)展,視頻廣告對于企業(yè)越發(fā)重要,并逐漸成為企業(yè)日常工作的一部分。廣告公司和企業(yè)為了確保所做的視頻廣告取得應(yīng)有的效益,必須派人來監(jiān)測電視臺對于合同的執(zhí)行情況。同時文化管理部門會依據(jù)政府的行政命令要求電視臺播出一些公益公告,政府通告、通知等。為了確保這些強(qiáng)制插播的視頻在規(guī)定的時間內(nèi)完全播放,文化監(jiān)管部門也必須指定專人進(jìn)行檢測。目前視頻廣告的監(jiān)測都是通過人工進(jìn)行的,浪費了大量的人力物力資源。 視頻數(shù)字化浪潮的發(fā)展使得電視臺和信息服務(wù)商對于視頻分類技術(shù)的依賴越來越重。廣告視頻探測作為視頻分類的一個分支,其自動探測的實現(xiàn)為其他類型的視頻探測提供借鑒。 本文探討了廣告視頻的特點和實現(xiàn)廣告視頻自動探測的思想方法,把廣告視頻自動探測分為兩個方面:廣告板塊探測和廣告單元探測。針對廣告板塊探測,提出了基于多特征融合的滑窗邊界探測算法;針對廣告單元的檢測,提出了基于幀匹配和鏡頭長度序列匹配相結(jié)合的廣告單元探測算法。 本文的主要工作在于: ● 分析了廣告視頻的特點及其對應(yīng)于視頻結(jié)構(gòu)、視頻對象、音頻等底層的特征,提出了廣告視頻的探測技術(shù)框架。 ● 提出了適用于廣告板塊邊界探測的基于多特征融合的滑窗視頻邊界探測算法。研究了獲取廣告視頻特征向量各分量的提取技術(shù),這些技術(shù)包括壓縮域的鏡頭分割技術(shù)、字幕區(qū)域探測技術(shù)、特征向量在某一置信度下的近似匹配技術(shù)。分析了表征廣告視頻類型屬性的特征向量的各分量的權(quán)重的分配。 ● 提出了適用于廣告單元的幀匹配與鏡頭相似匹配相結(jié)合的視頻段匹配算法。探討了基于DC分量的幀匹配算法和基于鏡頭長度序列的鏡頭相似匹配的視頻段匹配算法。 ● 在上述技術(shù)的基礎(chǔ)上設(shè)計并實現(xiàn)了廣告視頻探測的系統(tǒng),驗證了上述各章的思想方法。
[Abstract]:With the further development of market economy, video advertising is becoming more and more important for enterprises, and gradually become a part of the daily work of enterprises. Advertising agencies and companies must send people to monitor the implementation of contracts by television stations in order to ensure that video advertising is paid for. At the same time, according to the administrative order of the government, the cultural administration will require the television station to broadcast some public service announcements, government circulars, notices, etc. In order to ensure that these mandatory episodes are fully broadcast within the specified time, the cultural regulator must also appoint a dedicated person to conduct the tests. At present, the monitoring of video advertising is carried out manually, wasting a lot of human and material resources. With the development of video digitization, TV stations and information service providers rely more and more on video classification technology. Advertising video detection as a branch of video classification, its automatic detection provides reference for other types of video detection. This paper discusses the characteristics of advertising video and the method of realizing the automatic detection of advertising video. The automatic detection of advertising video is divided into two aspects: ad block detection and advertising unit detection. A sliding window boundary detection algorithm based on multi-feature fusion is proposed for advertising block detection, and an advertising unit detection algorithm based on frame matching and shot length sequence matching is proposed for advertising unit detection. The main work of this paper is to analyze the characteristics of advertising video and its corresponding features such as video structure, video object, audio and so on, and put forward the detection technology framework of advertising video. A sliding window video boundary detection algorithm based on multi-feature fusion is proposed for advertising block boundary detection. In this paper, the extraction techniques of each component of feature vector in advertising video are studied. These techniques include shot segmentation in compressed domain, subtitle region detection and approximate matching of feature vectors under certain confidence. The weight distribution of each component of the feature vector which characterizes the attribute of the video type of advertisement is analyzed. A video segment matching algorithm combining frame matching and shot similarity matching is proposed. Frame matching algorithm based on DC component and video segment matching algorithm based on shot length sequence are discussed. Based on the above technology, the system of advertisement video detection is designed and implemented, and the ideas and methods of the above chapters are verified.
【學(xué)位授予單位】：國防科學(xué)技術(shù)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2004
【分類號】：TN948.1

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本文編號：2336993