本文關(guān)鍵詞：基于DirectShow的數(shù)字電視異態(tài)檢測(cè)系統(tǒng)的設(shè)計(jì)與實(shí)現(xiàn)　出處：《電子科技大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 數(shù)字電視 MPEG-2 DirectShow 圖像識(shí)別 數(shù)字信號(hào)處理技術(shù)

【摘要】：在中國(guó)廣播電視行業(yè)的數(shù)字化進(jìn)程不斷加快的同時(shí),傳統(tǒng)的人工數(shù)字電視技術(shù)審片模式表現(xiàn)出來(lái)的審片耗時(shí)長(zhǎng)、檢測(cè)準(zhǔn)確度不高、設(shè)備花銷大等缺點(diǎn),已經(jīng)不適合數(shù)字電視的審片要求,加之國(guó)外審片系統(tǒng)價(jià)格高昂,本課題的目的在于研究一個(gè)自動(dòng)技審系統(tǒng)軟件,使得其在PC機(jī)終端可以表現(xiàn)出來(lái)檢測(cè)速度快、檢測(cè)精度高、持續(xù)審片時(shí)間長(zhǎng)、成本低等優(yōu)點(diǎn),能夠改善以上不足。本文就此提出應(yīng)用計(jì)算機(jī)軟件審片代替人腦大部分審片的自動(dòng)化數(shù)字電視技術(shù)審片檢測(cè)系統(tǒng),現(xiàn)總結(jié)本系統(tǒng)實(shí)現(xiàn)采用的方法如下所示:(1)采用DirectShow多媒體技術(shù)實(shí)現(xiàn)待審節(jié)目的音視頻流分離,大大方便了軟件功能的模塊化設(shè)計(jì),本次系統(tǒng)集成了源過(guò)濾器、MPEG-2解復(fù)用器、音頻流過(guò)濾器、視頻流過(guò)濾器和音視頻播放過(guò)濾器。(2)針對(duì)常見(jiàn)的視頻故障(黑場(chǎng)、彩條、單色場(chǎng)、靜幀、YUV超標(biāo))進(jìn)行監(jiān)測(cè)。結(jié)合直方圖分析數(shù)據(jù)和故障幀圖像特點(diǎn)設(shè)計(jì)黑場(chǎng)、彩條、單色場(chǎng)、靜幀、YUV高標(biāo)五種故障檢測(cè)方法,提出將圖像等分為大小均一的正方形網(wǎng)格,只針對(duì)提取的網(wǎng)格灰度特征進(jìn)行故障判斷,相比較逐個(gè)像素點(diǎn)比較判斷,網(wǎng)格判斷加快軟件運(yùn)行效率。(3)分析MPEG-2視頻圖像的馬賽克故障特點(diǎn),提出結(jié)合差分邊緣檢測(cè)和Canny邊緣檢測(cè)兩種方法提取馬賽克邊緣,并且對(duì)提取出來(lái)的宏塊邊緣特征進(jìn)行分類,還結(jié)合宏塊灰度特征和宏塊色度特征對(duì)馬賽克故障進(jìn)行判決。(4)了解音頻格式Wave的特點(diǎn)之后,對(duì)音頻故障(靜音、聲音過(guò)大、聲音過(guò)小、爆破音、噪聲、聲音反相)進(jìn)行檢測(cè)方法分析和設(shè)計(jì)。其中,對(duì)前四個(gè)音頻故障分析其在時(shí)域上的電平特征來(lái)判斷故障,采用快速傅里葉變換(FFT)分析噪聲和聲音反相分別在聲音能量和左右聲道相位差的特征來(lái)判斷故障。從系統(tǒng)故障檢測(cè)的速度、故障檢測(cè)方法的準(zhǔn)確性、系統(tǒng)的穩(wěn)定性和實(shí)時(shí)性四個(gè)方面出發(fā),對(duì)實(shí)現(xiàn)的數(shù)字電視故障檢測(cè)系統(tǒng)進(jìn)行功能性測(cè)試,其系統(tǒng)測(cè)試結(jié)果表明它符合廣電行業(yè)實(shí)際應(yīng)用的要求,并且其檢測(cè)準(zhǔn)確率基本都高于98%,從而有效地實(shí)現(xiàn)數(shù)字電視音視頻故障檢測(cè)。
[Abstract]:While the digitization process of China's broadcasting and television industry is speeding up, the traditional technology of artificial digital television film review mode shows the shortcomings of long time consumption, low detection accuracy, large cost of equipment, and so on. It is no longer suitable for the demand of digital TV, and the foreign system is expensive. The purpose of this project is to study a software of automatic technology review system, so that it can be detected quickly in the PC terminal. It has the advantages of high precision, long time of continuous film review, low cost and so on. In this paper, we propose an automatic digital television technology for digital television inspection system, which can replace most of human brain with computer software. This paper summarizes the implementation method of this system as follows: 1) using DirectShow multimedia technology to realize the separation of audio and video stream, which greatly facilitates the modular design of software function. This system integrates source filter MPEG-2 demultiplexer, audio stream filter, video stream filter and audio / video playback filter. Combined with histogram analysis data and fault frame image characteristics, five fault detection methods, black field, color strip, monochromatic field and static frame YUV high standard fault detection method are designed. In this paper, the image is divided into square meshes of uniform size, and fault judgment is only based on the grayscale features of the extracted meshes, and the pixel points are compared to judge each pixel. Grid judgment accelerates the efficiency of software running. (3) analyzing the mosaic fault characteristics of MPEG-2 video image, two methods are proposed to extract mosaic edge, differential edge detection and Canny edge detection. And the extracted macroblock edge features are classified, combined with macroblock gray features and macroblock chromaticity features to determine the mosaic fault. 4) to understand the characteristics of audio format Wave. Analysis and design of detection methods for audio faults (mute, too loud, too low, blasting sound, noise, sound inverse). The level characteristics of the first four audio faults in time domain are analyzed to determine the fault. Fast Fourier transform (FFTFT) is used to analyze the characteristics of noise and sound inversion in sound energy and the phase difference between left and right vocal channels to determine the fault. The speed of system fault detection and the accuracy of fault detection method are analyzed. Based on the stability and real-time of the system, the functional test of the digital TV fault detection system is carried out. The system test results show that the system meets the practical requirements of the radio and television industry. And the detection accuracy is higher than 98, so digital TV audio and video fault detection is realized effectively.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN949.197

【參考文獻(xiàn)】

相關(guān)期刊論文 前2條

1 陳彥燕;王元慶;;常用邊緣檢測(cè)算法的定量比較[J];計(jì)算機(jī)工程;2008年17期

2 郝祿國(guó),王兆華,蘇韓松,郭向華;基于MPEG-2碼流的DC錯(cuò)誤檢測(cè)與恢復(fù)[J];信號(hào)處理;2002年02期

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本文編號(hào)：1391923