Scalable Video on Demand: Adaptive Internet-based Distribution

Description:

In recent years, the proliferation of available video content and the popularity of the Internet have encouraged service providers to develop new ways of distributing content to clients. Increasing video scaling ratios and advanced digital signal processing techniques have led to Internet Video-on-Demand applications, but these currently lack efficiency and quality.

Scalable Video on Demand: Adaptive Internet-based Distribution examines how current video compression and streaming can be used to deliver high-quality applications over the Internet. In addition to analysing the problems of client heterogeneity and the absence of Quality of Service in the Internet, this book:

• assesses existing products and encoding formats;
• presents new algorithms and protocols for optimised on-line video streaming architectures;
• includes real-world application examples and experiments;
• sets out a practical ‘toolkit’ for Dynamically Reconfigurable Multimedia Distribution Systems.

Written by an expert in the field of video distribution, Scalable Video on Demand: Adaptive Internet-based Distribution provides a novel approach to the design and implementation of Video-on-Demand systems for Software Engineers and researchers.  It will also be useful for graduate students following Electronic Engineering and Computer Science courses.

近年來，可用的視頻內容的增加和互聯網的普及，鼓勵服務提供商開發新的分發內容給客戶的方式。不斷增加的視頻縮放比例和先進的數字信號處理技術已經導致了互聯網視頻點播應用，但目前這些應用還缺乏效率和質量。

《可擴展的視頻點播：適應性基於互聯網的分發》探討了如何利用當前的視頻壓縮和流媒體技術在互聯網上傳遞高質量的應用。除了分析互聯網中客戶異質性和缺乏服務質量的問題外，本書還包括：

- 評估現有的產品和編碼格式；
- 提出了優化在線視頻流媒體架構的新算法和協議；
- 包含了真實應用示例和實驗；
- 提供了一個實用的“工具包”，用於動態可重構多媒體分發系統。

《可擴展的視頻點播：適應性基於互聯網的分發》由視頻分發領域的專家撰寫，為軟件工程師和研究人員提供了一種新的設計和實施視頻點播系統的方法。對於修讀電子工程和計算機科學課程的研究生也很有用。