以獨立成份分析法進行影片字幕粹取

dc.contributor 國立臺灣師範大學圖文傳播學系 zh_tw
dc.contributor.author 周遵儒 zh_tw
dc.contributor.author 謝珮琳 zh_tw
dc.date.accessioned 2014-10-30T09:35:46Z
dc.date.available 2014-10-30T09:35:46Z
dc.date.issued 2005-11-01 zh_TW
dc.description.abstract 在本論文中,我們針對影片中的字幕提出一個創新的文字粹取方法,在此,我們利用獨立成份分析法(Independent Component Analysis, ICA)來分離影像中的文字區及非文字區。為了符合ICA的處理程序,我們提出了兩種資料的表示方法,分別為「片段特徵表示方式」及「單張影像特徵表示方式」。為了分析本方法的強韌性(robustness),我們改變了字幕中文字的字型、顏色、尺寸以及排列方式。本研究採用影像的灰階強度做為特徵,實驗結果顯示本研究所提出的方法比傳統的方法能更有效率且更正確分離出影像中的文字區域及非文字區域。 zh_tw
dc.description.abstract In this paper, a new text extraction method is proposed for digital video. The text in the video frames is extracted by means of the independent component analysis (ICA). Two representations of the image frames are introduced to fit the need of the ICA procedure. The font, color, scale, and orientation of the subtitles in the sample videos are changed to evaluate the performance of our method. We use the gray values as the features. The experimental results show that the method we developed in this research can extract the texts in digital video more efficiently and accurately than the conventional work, without any influence on the variations of font, color, scale, and orientation of texts. en_US
dc.identifier ntnulib_tp_E0307_01_003 zh_TW
dc.identifier.issn 1683-5891 zh_TW
dc.identifier.uri http://rportal.lib.ntnu.edu.tw/handle/20.500.12235/36701
dc.language chi zh_TW
dc.publisher 國立臺灣師範大學圖文傳播學報編審委員會 zh_tw
dc.relation 圖文傳播學報,5,59-67。 zh_tw
dc.subject.other 文字粹取 zh_tw
dc.subject.other 獨立成份分析法 zh_tw
dc.subject.other 影片檢索 zh_tw
dc.subject.other Text extraction en_US
dc.subject.other Independent component analysis en_US
dc.subject.other Video indexing en_US
dc.title 以獨立成份分析法進行影片字幕粹取 zh_tw
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