H.264可調式視訊編碼之空間層際移動估測快速演算法

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姓名

許哲維(Jhe-wei Syu) 查詢紙本館藏

畢業系所

通訊工程學系

論文名稱

H.264可調式視訊編碼之空間層際移動估測快速演算法
(Fast Inter-Layer Motion Estimation Algorithm on Spatial Scalability in H.264/AVC Scalable Extension)

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摘要(中)

由於視訊壓縮編碼、網路以及儲存能力的發展，使得多媒體系統的應用越來越普及與廣泛，因此，如何有效率的提供資訊給不同條件限制的使用者變得非常重要，可調式視訊的概念也就此誕生。
H.264可調式視訊編碼標準(SVC)是目前最新的可調式視訊編碼技術，它以H.264為核心，並加入了層際間預測的概念，大幅改善了以往視可調式訊編碼標準的缺點，儘管如此，運算複雜度太過龐大一直是SVC面臨的最大問題，特別在開啟層際間預測之空間可調架構下，增強層移動估測複雜度幾乎占了整體複雜度的90%以上。
有鑑於此，本論文利用了增強層兩種預測移動向量間的關係，以及增強層各模式間最佳移動估測方向的相關性，提出了一套應用在開啟層際間預測之空間可調架構下的移動估測快速演算法。實驗結果顯示，與原始JSVM 9.12全域搜尋相比，最多可節省67.4%的運算複雜度，而最多只犧牲不到0.05dB的視訊品質。

摘要(英)

With the improvements of video coding technology, network infrastructures, storage capacity, and CPU computing capability, the applications of multimedia systems become wider and more popular. Therefore, how to efficiently provide video sequences to users under different constraints is very important, and scalable video coding is one of the best solutions to this problem.
H.264 scalable extension (SVC) that is constructed based on H.264/AVC is the most recent scalable video coding standard. SVC utilizes the inter-layer prediction to substantially improve the coding efficiency comparing with the prior scalable video coding standards. Nevertheless, this technique results in extremely large computation complexity which obstructs it from practical use. Especially on spatial scalability, the complexity of the enhancement layer motion estimation occupies above 90% of the total complexity. The main objective of this work is to reduce the computation complexity while maintaining both the video quality and the bit-rate.
This thesis proposes a fast inter-layer motion estimation algorithm on temporal and spatial scalabilities for SVC. We utilize the relation between two motion vector predictors from the base layer as well as the enhancement layer respectively and the correlation between all the modes to reduce the number of search times. The simulation results show that the proposed algorithm can save the computation complexity up to 67.4% compared to JSVM9.12 with less than 0.0476dB video quality degradation.

關鍵字(中)

★ 快速演算法
★ 移動估測
★ 層際間預測
★ 可調式視訊編碼

關鍵字(英)

★ motion estimation
★ inter-layer prediction
★ scalable video coing
★ fast algorithm

論文目次

摘要......................................................i
ABSTRACT.................................................ii
目錄....................................................iii
第一章緒論...............................................1
1.1 研究背景..............................................1
1.2 研究動機與目的........................................2
1.3 論文架構..............................................3
第二章 H.264視訊編碼標準介紹..............................5
2.1 H.264介紹.............................................5
2.2 H.264架構.............................................7
2.2.1 網路提取層..........................................8
2.2.2 視訊編碼層.........................................10
2.3 移動估測之最佳移動向量選擇...........................14
第三章 H.264可調式視訊編碼標準介紹.......................16
3.1 時間可調性 (Temporal Scalability)....................17
3.2 空間可調性 (Spatial Scalability).....................19
3.2.1 層際間移動預測 (Inter-Layer Motion Prediction).....20
3.2.2 層際間空間預測 (Inter-Layer Intra Prediction)......21
3.2.3 層際間殘餘預測 (Inter-Layer Residual Prediction)...22
3.3 品質可調性 (Quality Scalability).....................23
3.4 可調式視訊編碼移動估測流程介紹.......................23
3.5 可調式視訊編碼複雜度分析.............................27
第四章空間層際移動估測快速演算法........................29
4.1 選擇性參考層移動預測向量演算法.......................29
4.1.1 參考層預測移動向量貢獻度分析.......................29
4.1.2 空間層際移動向量統計分析...........................31
4.1.3 選擇性參考層預測移動向量...........................38
4.2 小區塊模式移動估測方向選擇...........................47
第五章實驗結果與討論....................................52
5.1 實驗環境與參數設定...................................52
5.2 選擇性參考層移動預測向量演算法.......................55
5.3 小區塊模式移動估測方向選擇...........................60
5.4 空間層際移動估測快速演算法...........................65
第六章結論與未來展望....................................78
參考文獻.................................................79

參考文獻

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指導教授

張寶基(Pao-chi Chang)

審核日期

2009-7-27

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