本文關(guān)鍵詞：基于DirectShow的數(shù)字電視異態(tài)檢測系統(tǒng)的設(shè)計與實現(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 圖像識別 數(shù)字信號處理技術(shù)

【摘要】：在中國廣播電視行業(yè)的數(shù)字化進(jìn)程不斷加快的同時,傳統(tǒng)的人工數(shù)字電視技術(shù)審片模式表現(xiàn)出來的審片耗時長、檢測準(zhǔn)確度不高、設(shè)備花銷大等缺點,已經(jīng)不適合數(shù)字電視的審片要求,加之國外審片系統(tǒng)價格高昂,本課題的目的在于研究一個自動技審系統(tǒng)軟件,使得其在PC機(jī)終端可以表現(xiàn)出來檢測速度快、檢測精度高、持續(xù)審片時間長、成本低等優(yōu)點,能夠改善以上不足。本文就此提出應(yīng)用計算機(jī)軟件審片代替人腦大部分審片的自動化數(shù)字電視技術(shù)審片檢測系統(tǒng),現(xiàn)總結(jié)本系統(tǒng)實現(xiàn)采用的方法如下所示:(1)采用DirectShow多媒體技術(shù)實現(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,本次系統(tǒng)集成了源過濾器、MPEG-2解復(fù)用器、音頻流過濾器、視頻流過濾器和音視頻播放過濾器。(2)針對常見的視頻故障(黑場、彩條、單色場、靜幀、YUV超標(biāo))進(jìn)行監(jiān)測。結(jié)合直方圖分析數(shù)據(jù)和故障幀圖像特點設(shè)計黑場、彩條、單色場、靜幀、YUV高標(biāo)五種故障檢測方法,提出將圖像等分為大小均一的正方形網(wǎng)格,只針對提取的網(wǎng)格灰度特征進(jìn)行故障判斷,相比較逐個像素點比較判斷,網(wǎng)格判斷加快軟件運行效率。(3)分析MPEG-2視頻圖像的馬賽克故障特點,提出結(jié)合差分邊緣檢測和Canny邊緣檢測兩種方法提取馬賽克邊緣,并且對提取出來的宏塊邊緣特征進(jìn)行分類,還結(jié)合宏塊灰度特征和宏塊色度特征對馬賽克故障進(jìn)行判決。(4)了解音頻格式Wave的特點之后,對音頻故障(靜音、聲音過大、聲音過小、爆破音、噪聲、聲音反相)進(jìn)行檢測方法分析和設(shè)計。其中,對前四個音頻故障分析其在時域上的電平特征來判斷故障,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判斷故障。從系統(tǒng)故障檢測的速度、故障檢測方法的準(zhǔn)確性、系統(tǒng)的穩(wěn)定性和實時性四個方面出發(fā),對實現(xiàn)的數(shù)字電視故障檢測系統(tǒng)進(jìn)行功能性測試,其系統(tǒng)測試結(jié)果表明它符合廣電行業(yè)實際應(yīng)用的要求,并且其檢測準(zhǔn)確率基本都高于98%,從而有效地實現(xiàn)數(shù)字電視音視頻故障檢測。
[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)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TN949.197

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本文編號：1391923