本文選題：廣告視頻 + 基于內(nèi)容��； 參考：《北京科技大學(xué)》2010年碩士論文

【摘要】：隨著市場(chǎng)經(jīng)濟(jì)的深入發(fā)展，視頻廣告對(duì)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(cè)電視臺(tái)對(duì)于合同的執(zhí)行情況。同時(shí)文化管理部門會(huì)依據(jù)政府的行政命令要求電視臺(tái)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(shí)間內(nèi)完全播放，文化監(jiān)管部門也必須指定專人進(jìn)行監(jiān)測(cè)。目前視頻廣告的檢索都是通過人工進(jìn)行的，浪費(fèi)了大量的人力物力資源。 本文探討了數(shù)字視頻的特點(diǎn)、鏡頭的轉(zhuǎn)換方式等，著重研究了基于內(nèi)容的視頻檢索的關(guān)鍵技術(shù)。在鏡頭檢測(cè)技術(shù)方面，，本文研究了各種鏡頭檢測(cè)算法，比較各種方法的適用范圍，重點(diǎn)采用使用雙閾值的鏡頭邊界檢測(cè)方法實(shí)現(xiàn)該系統(tǒng)，在幀匹配方面，本文研究了現(xiàn)有的各種基于顏色特征的幀匹配技術(shù)，比較其各自的性能，并將基于有意義區(qū)域的顏色檢索算法應(yīng)用于廣告檢索系統(tǒng)中。 本文研究了適用于廣告視頻檢索的幀匹配與鏡頭匹配相結(jié)合的視頻段匹配算法，提出了一種改進(jìn)的方法，以提高廣告檢索性能。設(shè)計(jì)并實(shí)現(xiàn)了基于內(nèi)容的廣告視頻的檢索系統(tǒng)。重點(diǎn)闡述了系統(tǒng)的架構(gòu)及各個(gè)模塊的具體實(shí)現(xiàn)，包括：程序主模塊、I幀提取模塊、鏡頭分割模塊和幀匹配模塊。經(jīng)測(cè)試該系統(tǒng)可以很好地完成廣告視頻的檢索。
[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, cultural regulators must also appoint someone to monitor them. At present, the retrieval of video advertisement is carried out manually, wasting a lot of manpower and material resources. In this paper, the characteristics of digital video and the mode of shot conversion are discussed, and the key techniques of content-based video retrieval are emphatically studied. In the aspect of shot detection technology, this paper studies various shot detection algorithms, compares the scope of application of various methods, and focuses on the implementation of the system by using double threshold shot boundary detection method, in the aspect of frame matching, In this paper, we study various color feature based frame matching techniques, compare their performance, and apply the meaningful region-based color retrieval algorithm to the advertising retrieval system. In this paper, a video segment matching algorithm which combines frame matching and shot matching for advertising video retrieval is studied, and an improved method is proposed to improve the performance of advertising retrieval. A content-based advertising video retrieval system is designed and implemented. The architecture of the system and the implementation of each module are described in detail, including: the main module of the program, the frame extraction module, the shot segmentation module and the frame matching module. After testing, the system can complete the retrieval of advertising video well.
【學(xué)位授予單位】：北京科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2010
【分類號(hào)】：TP391.41

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 方勇;戚飛虎;冉鑫;;基于窗幀差的鏡頭邊界系數(shù)模型及其應(yīng)用[J];電子學(xué)報(bào);2006年05期

2 劉政凱,湯曉鷗;視頻檢索中鏡頭分割方法綜述[J];計(jì)算機(jī)工程與應(yīng)用;2002年23期

3 錢剛,曾貴華;典型視頻鏡頭分割方法的比較[J];計(jì)算機(jī)工程與應(yīng)用;2004年32期

4 彭宇新,Ngo Chong-Wah,郭宗明,肖建國;基于內(nèi)容的視頻檢索關(guān)鍵技術(shù)[J];計(jì)算機(jī)工程;2004年01期

5 明鳴,朱明;視頻流中廣告內(nèi)容的檢測(cè)[J];計(jì)算機(jī)工程;2005年06期

6 何清法,李國杰;綜合分塊主色和相關(guān)反饋技術(shù)的圖像檢索方法[J];計(jì)算機(jī)輔助設(shè)計(jì)與圖形學(xué)學(xué)報(bào);2001年10期

7 羅l

本文編號(hào)：1857955