時間階層結合空間可調式視訊編碼之快速模式決策

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姓名

王彥傑(Yen-Chieh Wang) 查詢紙本館藏

畢業系所

通訊工程學系

論文名稱

時間階層結合空間可調式視訊編碼之快速模式決策
(FAST SPATIAL LAYER MODE DECISION BASED ON TEMPORAL LEVELS IN H.264/AVC SCALABLE EXTENSION)

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摘要(中)

可調式視訊編碼(Scalable Video Coding, SVC) 除了具有傳統H.264/AVC非常高之編碼效率優點外，更提升了極大的編碼彈性，主要的原因為SVC擁有時間可調性(Temporal Scalability)、空間可調性(Spatial Scalability)及訊雜比可調性 (SNR Scalability)三大特性，且均由一個基礎層(Base Layer)及數個增強層(Enhancement Layer)所構成，其中Base Layer的編碼方式類似於H.264/AVC，而Enhancement Layer除了可自行做預測與編碼外，亦利用Base Layer之編碼資訊進行預測與編碼，由於預測的來源增加，因此亦提高其運算之複雜度，對於無線裝置之低功率與即時性通信需求來說，將更有挑戰性。
本研究論文針對SVC之複雜度作分析，提出結合時間可調性與空間可調性之快速模式決策演算法(Fast Mode Decision Algorithm)以降低複雜度，本演算法係採用在同一空間階層中，不同時間階層與空間基礎層相關性不同的特性並配合空間可調性之模式特性進行預測，經實驗結果發現本演算法比採用全域搜尋(Full Search)法最多可節省達78.28%之編碼時間且PSNR只稍降0.14dB，亦即在可接受之視訊品質需求下，本研究論文所提之演算法可大幅降低系統之運算複雜度。

摘要(英)

Multimedia applications on various devices and heterogeneous networks become popular. However, it faces the problem that different requirements, such as bandwidth constraints, CPU processing capabilities, and display resolutions, need to be satisfied simultaneously. Scalable coding is one of the solutions that can provide temporal, spatial, quality, and rate scalabilities.
Scalable Video Coding (SVC) is getting popular but exhibits a problem of high computational complexity compared with H.264/AVC single layer coding. A fast mode decision algorithm that reduces the candidate modes in motion estimation can certainly reduce its computation time. We propose an adaptive temporal level mode decision algorithm in spatial scalable video coding. In spatial scalability, we utilize the spatial candidate modes table constructed based on the statistics of real data to reduce the candidate modes. In temporal scalability, we apply the base layer mode information directly at low temporal levels. The simulation results show that the proposed algorithm can reduce computation time up to 78.28% with less than 0.14 dB video quality degradation compared with JSVM 9.12.

關鍵字(中)

★ 可調式視訊編碼
★ 空間可調性
★ 時間可調性
★ 快速模式決策

關鍵字(英)

★ Fast Mode Decision
★ Temporal Scalability
★ Spatial Scalability
★ Scalable Video Coding

論文目次

摘要 I
ABSTRACT II
誌謝 III
目錄 IV
圖目錄 VI
表目錄 X
第一章緒論 1
1.1 前言 1
1.2 研究動機 2
1.3 論文架構 5
第二章單層視訊編碼器介紹 6
2.1 H.264 視訊壓縮標準簡介 6
2.2 H.264編碼器架構介紹 8
2.2.1 網路提取層 9
2.2.2 視訊編碼層 10
第三章可調式視訊編碼器介紹 16
3.1 可調式視訊編碼器之應用 16
3.2 可調式視訊編碼器架構 19
3.3 時間可調性 (Temporal Scalability) 21
3.4 空間可調性 (Spatial Scalability) 22
3.4.1階層間畫面內預測 (Inter-layer Intra Prediction) 23
3.4.2階層間動量預測 (Inter-layer Motion Prediction) 24
3.4.3階層間殘值預測 (Inter-layer Residual Prediction) 26
3.5 訊雜比可調性 (SNR Scalability) 27
第四章快速可調式視訊編碼器演算法介紹 29
4.1 基礎層之快速可調式視訊編碼器演算法 29
4.2 多層可調式視訊編碼之快速演算法 35
第五章提出之快速可調式視訊編碼演算法 44
5.1 SVC空間可調性複雜度分析 44
5.2 SVC空間可調性模式分析 46
5.3 SVC時間可調性模式分析 60
5.4 時間階層結合空間可調性之快速模式決策 69
第六章實驗結果與分析討論 71
6.1 實驗參數與模擬環境 71
6.2 空間可調性快速模式決策之結果分析 72
6.3 時間階層結合空間可調快速模式決策之分析實驗結果 82
第七章結論與未來展望 95
7.1 結論 95
7.2 未來展望 95
參考文獻 97

參考文獻

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指導教授

張寶基(Pao-Chi Chang)

審核日期

2009-7-21

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