博碩士論文 92521012 完整後設資料紀錄

DC 欄位 語言
DC.contributor電機工程學系zh_TW
DC.creator陳永健zh_TW
DC.creatorYung-Chien Chenen_US
dc.date.accessioned2005-7-20T07:39:07Z
dc.date.available2005-7-20T07:39:07Z
dc.date.issued2005
dc.identifier.urihttp://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=92521012
dc.contributor.department電機工程學系zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract對於以內容為主的多媒體資訊索引與摘要的需求愈來愈高時,擷取出有內涵意義的特徵值變成為一份重要的課題。於數位視訊中,畫面的文字即是十分有用的特徵值,它不僅可以清楚表達出該影片的內涵,而且並不難以擷取。再者,相較於語音辨識或是視覺影像分析的不完善,文字辨識系統卻已趨近成熟而完整。因此,大多數的視訊索引系統研究一開始以文字辨識為濫觴。 在此篇論文,我們提出針對於移動文字之偵測與擷取演算法。相較於固定字幕的演算法而言,少有研究針對於移動文字。我們先利用Sobel detector找出可能為文字邊緣的像素,再使用垂直與水平統計表定位出正確的文字區域,最後採用Otsu Method 決定出臨界值以區分出文字與背景。不幸地,此方法仍有少數非文字的像素被辨識為文字。在此,我們使用提出的modified seed-fill演算法消除錯誤辨識的非文字區塊以提升辨識率。根據實驗結果,所提出的演算法對於不同類型視訊都能提供不錯的結果。zh_TW
dc.description.abstractText in video is a very compact and accurate clue for video indexing and summarization. Most video text detection and extraction methods deal with the static videotext on video frames. Few methods can handle motion videotext well since motion videotext may hardly be extracted well. In this thesis, we propose a low computation load text detection and localization method to detect and localize the scrolling videotexts which provide much information for us. We also propose a videotext extraction method to extract the videotext. The detection method is carried out by edge detection, and the projection profile method is used to localize the text region well. The extraction method consists of adaptive thresholding, and our proposed modified seed-fill algorithm. Experimental results on a large number of video images are reported in detail.en_US
DC.subject內涵式視訊搜尋系統zh_TW
DC.subject字幕擷取zh_TW
DC.subjectvideotext extractionen_US
DC.subjectcontent-based video retirevalen_US
DC.title適用於數位視訊中移動字幕之偵測、定位以及擷取之方法zh_TW
dc.language.isozh-TWzh-TW
DC.titleA Comprehensive Motion VideotextDetection、 Localizaiton and Extraction Methoden_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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