臺灣博碩士論文加值系統

隨著近年來行動裝置的爆發性成長，行動多媒體的應用也日漸廣泛，透過無線網路傳輸的影片串流成為現代都市人生活當中不可或缺的一環。也因為如此，提供高品質且即時的多媒體傳輸應用也成為相當重要的議題。面對不穩定的無線網路，傳輸過程中時常會有封包遺失或傳送錯誤的狀況發生。過去以來，前向糾錯機制一直被廣泛地利用在影像多媒體的串流應用上，而前向糾錯機制當中的影像品質以及傳送延遲一直是研究者們難以取捨的兩難。近年來也有許多的研究試圖在即時影像串流的應用上盡可能的提升影像畫面的品質。其中各種不同前向糾錯機制的配置都有可能讓影像品質或是延遲時間的表現有所提升。
本篇論文提出了一個動態可調性視窗的前向糾錯機制。利用可解畫面比例的運算，動態調整將多個影像畫面編作為前向糾錯機制的編碼區間，較先前的研究減少了運算的複雜度，也近一步地降低了傳送時的延遲時間。我們再利用一個滑動視窗，使得前後的編碼區塊有所重疊，而達到整體品質提升的效果。實驗的結果也證明，使用滑動視窗緩和了原有的影像顫動的現象。

The mobile devices have become explosive hits on global markets. The applications of multimedia and video streaming have a significant growth. It have become a crucial part of modern lives to view video streaming and broadcasting as well as other multimedia applications via wireless internet. To provide stable high quality multimedia instantly have therefore become an important issue to be addressed.
Data transmission through a lossy channel is in the risk of packets losses or error occurrences. Forward Error Correction (FEC) have been widely used in the area of video streaming and multimedia broadcasting. The quality performance and transmission delay have been a trade-off that troubles researchers for years to find a balance in between.
This paper proposed a Dynamic Scalable Sliding Window scheme as a novel FEC to provide higher quality of video streaming with lower delay and more stable quality compared to previous similar approaches. The scheme exploit Decodable Frame Rate (DFR) to estimate the quality expectation and dynamically adjust the FEC coding block. In addition, the sliding window algorithm overlaps one frame each time as the window slides. The simulation results indicates that, with the extra overlapped frame, the overall recovery rate is enhanced and the video fluctuation in real-time transmission is also much improved. The experimental results also shows the scheme provides higher DFR performances than previous related researches and frame-level FEC throughout varies packet loss rate.

摘要 I
Abstract II
Content IV
Figure V
Chapter 1 : Introduction 1
Chapter 2 : Background 6
2.1 H.264/MPEG-4 AVC Overview 6
2.2 Reed–Solomon Code 8
2.3 Decodable Frame Rate 10
Chapter 3 : Related Works 12
3.1 Dynamic Sub-GoP FEC 12
3.2 Sliding Window 14
Chapter 4 : Dynamic Scalable Sliding Window 15
4.1 System Mechanism 15
4.2 Decodable Frame Rate Estimation Formula 18
Chapter 5 : Simulation Results 24
5.1 Simulation tool and environment 24
5.2 Simulation Results 25
Chapter 6 : Conclusion and Future Work 28
6.1 Conclusion 28
6.2 Future Work 28
Reference 29

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