基於HEVC畫面內編碼特徵之副本偵測

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姓名

陳怡靜(Yi-Ching Chen) 查詢紙本館藏

畢業系所

通訊工程學系

論文名稱

基於HEVC畫面內編碼特徵之副本偵測
(Copy Detection Utilizing HEVC Intra Coding Features)

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摘要(中)

近年來網際網路結合數位內容產業蓬勃發展，手持行動裝置的普及以及多媒體的壓縮技術也不斷突破創新，因此數位化之影音資料量也呈現指數型成長，延伸出快速複製與散播傳輸的問題進而侵害私人財產權的專屬性，這已成數位著作權中最重要的一項議題，有別於數位浮水印在本篇研究著眼以內容為基礎之副本偵測的偵測方式. 則無需事先在影像或影片中嵌入任何標記等資訊；此外，現今數位化資料呈現爆炸性成長，但其中仍有不少資料重複但只是畫質、大小或者因壓縮格式的不同而有所差異，為了避免浪費資料庫空間以及檢索之時間進而預先過濾、篩選資料以達到有效率的資料庫管理。
本論文針對內容檢索，利用HEVC於壓縮域上的特徵進行抽取，以畫面內預測（intra prediction）所取得之不同預測模式以及其殘餘值（residual）作為特徵。實驗結果顯示，所提出之方法可大幅減少檢索時所需使用的大量特徵空間，且檢索效能精準率及查全率無論是在不同量化參數之下或者不同畫面大小的情況分數皆可達到80以上的效能。
關鍵字：壓縮域、副本偵測、畫面內預測、HEVC

摘要(英)

The rapid growth of internet and online video data bring the difficulties not only to database management but also to digital right management. In the past decade, numerous algorithms were developed for video copy detection.
Because almost all digital video data exist in a compression format, many copy detection techniques operated in compression domain were proposed. However, these methods did not perform well with the sequences that had differentquantization parameter (QP).
This thesis focuses on the content-based copy detection in compression domain, especially with the capability resisting multi-QP and frame sizes. The extracted features are based on the I-frame coding information in HEVC that is the newer coding standard. We propose to employ the direction mode and residual coefficients as the texture feature.
The experimental results show that the proposed method can reduce the resource consumption and archive the similar performance with the pixel domain approach.
Keywords : Compression domain, Content-based copy detection, Intra Prediction, HEVC

關鍵字(中)

★ 壓縮域
★ 副本偵測
★ HEVC

關鍵字(英)

★ Compression domain
★ Content-based copy detection
★ Intra Prediction
★ HEVC

論文目次

摘要 i
Abstract ii
致謝 iii
目錄 iv
圖目錄 vi
表目錄 viii
第一章緒論 1
1.1 研究背景 1
1.2 研究動機與目的 4
1.3 論文架構 7
第二章基於內容副本偵測之相關文獻介紹 8
2.1 副本偵測之進展 8
2.2 副本偵測相關文獻探討 9
2.2.1副本偵測相關研究採用特徵之概述 10
2.2.2副本偵測相關研究比對方式之概述 13
2.3 副本偵測壓縮域相關文獻之探討 14
第三章 HEVC視訊壓縮標準介紹 18
3.1 HEVC編碼架構介紹 19
3.2.1畫面類型 22
3.2.2基本編碼單位 24
3.2.2.1 編碼單位(Coding Unit,CU) 25
3.2.3 畫面內預測（Intra Prediction） 27
3.2.4畫面內區塊預測模式選擇方式 29
第四章提出之壓縮域內容檢索方法 31
4.1 畫面內預測模式之方向模式分析 31
4.2 利用殘餘值構成有特色之區域分析 37
4.3 所提出之演算法架構 42
第五章實驗結果與分析討論 43
5.1 實驗參數與模擬環境 43
5.2 評分機制 44
5.2.1 精確率和查全率 45
5.2.2 精確率與準確度 47
5.2.3 綜合評價指標 48
5.3 壓縮域副本偵測結果及分析 49
5.4 不同尺寸影像之實驗結果與分析 52
5.5 壓縮域相關文獻實驗結果分析 56
5.6 像素域與本文方法之實驗比較 57
5.7 複雜度分析 58
第六章結論與未來展望 59
參考文獻 61

參考文獻

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指導教授

張寶基(Pao- Chi Chang)

審核日期

2013-7-19

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