發(fā)布時(shí)間：2018-07-06 11:15

  本文選題：MPEG-7標(biāo)準(zhǔn) + 人臉結(jié)構(gòu)��； 參考：《黑龍江大學(xué)》2013年碩士論文

【摘要】：網(wǎng)絡(luò)多媒體技術(shù)已經(jīng)在我們的生活中占據(jù)著主導(dǎo)地位，人們可以從網(wǎng)上獲得很多文本和試聽信息，它的高速發(fā)展，正在逐步改變?nèi)藗兊纳a(chǎn)和工作方式。但隨之而來的，尋求媒體內(nèi)容的多樣性的需求就顯得愈加困難。目前基于文本內(nèi)容的搜索引擎雖然眾多，但這并不滿足我們對(duì)多媒體信息內(nèi)容搜索的廣泛性、興趣性和有效性的要求。MPEG-7是對(duì)多媒體信息內(nèi)容描述的重要標(biāo)準(zhǔn)，所以對(duì)其的深入發(fā)掘研究就具有極大的應(yīng)用價(jià)值。 本文主要研究和使用MPEG-7標(biāo)準(zhǔn)構(gòu)建相關(guān)的人臉結(jié)構(gòu)模型，，利用多媒體描述技術(shù)研究人臉面部區(qū)域的結(jié)構(gòu)和相關(guān)內(nèi)容。在組合人臉圖像處理算法的基礎(chǔ)上提取五官輪廓和坐標(biāo)，統(tǒng)一描述人臉圖像內(nèi)容的特征關(guān)系，編寫相應(yīng)的索引應(yīng)用程序，完成圖像查詢的信息索引。 本論文從人臉結(jié)構(gòu)區(qū)域的特征關(guān)系和圖像的標(biāo)準(zhǔn)描述機(jī)制入手進(jìn)行了相關(guān)的研究。主要的研究內(nèi)容可以分為三步：一是大量查閱國內(nèi)外的相關(guān)文獻(xiàn)資料，研究MPEG-7的原理和圖像處理算法，并利用標(biāo)準(zhǔn)描述方案對(duì)圖像內(nèi)容建立完善的描述模型，以實(shí)現(xiàn)快速有效的信息檢索與定位。二是對(duì)人臉數(shù)字圖像處理的算法進(jìn)行重組，完成五官分割定位和特征提取，借助圖像的顏色直方圖分別在頻域和空域上對(duì)圖進(jìn)行處理，形成豐富的信息互補(bǔ)和信息關(guān)聯(lián)（例如紅色的嘴唇、大眼睛）特性，用以滿足用戶的多條件特征索引需求。三是以人臉結(jié)構(gòu)(主要包括五官和顏色)的整體性為主，結(jié)合圖像特征與描述定義語言進(jìn)行全面的MPEG-7人臉描述，通過MPEG-7標(biāo)準(zhǔn)生成多個(gè)時(shí)間與空間相互關(guān)聯(lián)的文本描述文件，用以提高對(duì)圖像感興趣區(qū)域內(nèi)容的快速索引定位。
[Abstract]:The network multimedia technology has already occupied the dominant position in our life, people can obtain a lot of text and audition information from the net, its high speed development, is gradually changing people's production and working way. But with it, the need for diversity in media content becomes increasingly difficult. Although there are many search engines based on text content, this does not meet the requirement of the extensiveness, interest and validity of multimedia information content search. MPEG-7 is an important standard for the description of multimedia information content. Therefore, it has great application value to further explore and study it. This paper mainly studies and uses MPEG-7 standard to construct the related face structure model, and uses multimedia description technology to study the structure and related content of face region. Based on the combined face image processing algorithm, the facial contour and coordinates are extracted, the feature relationship of the face image content is described uniformly, the corresponding index application program is written, and the information index of the image query is completed. In this paper, the feature relation of face structure region and the standard description mechanism of image are studied. The main research content can be divided into three steps: first, a large number of domestic and foreign literature, the principle of MPEG-7 and image processing algorithm, and the use of standard description scheme to establish a complete description model of image content, In order to achieve fast and effective information retrieval and positioning. Secondly, the algorithm of face digital image processing is reorganized to complete facial segmentation and feature extraction, and the color histogram of the image is used to process the image in frequency domain and spatial domain, respectively. Forms rich information complementary and information correlation (such as red lips, big eyes) features to meet the user's multi-conditional feature index requirements. Thirdly, it is based on the integrity of face structure (mainly including facial features and colors), combined with image features and description definition language to carry out a comprehensive MPEG-7 face description, through MPEG-7 standard to generate a number of time and space related text description files. To improve the content of the region of interest to the image fast index location.
【學(xué)位授予單位】：黑龍江大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類號(hào)】：TP391.41

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 袁立;穆志純;曾慧;;基于人臉和人耳的多模態(tài)生物特征識(shí)別[J];北京科技大學(xué)學(xué)報(bào);2007年S2期

2 高永英,章毓晉,羅云;基于目標(biāo)語義特征的圖像檢索系統(tǒng)[J];電子與信息學(xué)報(bào);2003年10期

3 解凱,郭恒業(yè),張?zhí)镂?基于視頻圖像的虛擬環(huán)境建模技術(shù)[J];哈爾濱工業(yè)大學(xué)學(xué)報(bào);2004年04期

4 王偉凝;賀前華;;基于色彩描述的圖像情感語義查詢[J];華南理工大學(xué)學(xué)報(bào)(自然科學(xué)版);2008年01期

5 陳躍峰,肖自美,楊燦;基于內(nèi)容檢索的圖像系統(tǒng)的關(guān)鍵技術(shù)及其實(shí)現(xiàn)[J];計(jì)算機(jī)工程與應(yīng)用;2000年10期

6 王佐成;劉曉冬;薛麗霞;;Canny算子邊緣檢測(cè)的一種改進(jìn)方法[J];計(jì)算機(jī)工程與應(yīng)用;2010年34期

7 雷國平,周琨,吉吟東;MPEG標(biāo)準(zhǔn)發(fā)展和研究綜述[J];計(jì)算機(jī)工程;2003年12期

8 鄧濤;郭雷;楊衛(wèi)莉;;基于本體的圖像語義標(biāo)注與檢索模型[J];計(jì)算機(jī)工程;2008年17期

9 向紅;劉嘉敏;謝海軍;郭建;翟亮亮;;中國人人耳圖像數(shù)據(jù)庫的設(shè)計(jì)與建立[J];計(jì)算機(jī)工程;2009年18期

10 李悅;黃文宇;覃團(tuán)發(fā);;綜合MPEG-7全局及局部主顏色的圖像檢索方法[J];計(jì)算機(jī)應(yīng)用研究;2009年04期

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