Pattern Based Video Coding

Author(s):  
Manoranjan Paul ◽  
Manzur Murshed

People’s demands are escalating with technology advances. Now, people are not happy with only text or voice messages, they like to see video as well. Video transmission through limited bandwidth, for example, an existing telephone line, requires an efficient video coding technique. Unfortunately, existing video coding standards have some limitations due to this demand. Recently, a pattern-based video coding technique has established its potentiality to improve the coding compared to the recent standard H.264 in the range of low bit rates. This chapter describes this technique with its background, features, recent developments, and future trends.

Author(s):  
Jânio M. Monteiro ◽  
Carlos T. Calafate ◽  
Mário S. Nunes

In this article we analyze scalable video transmission, from the perspective of video coding standards and the necessary developments in protocols that support media distribution in current and future network architectures. In the next section we start by describing the first contributions to this topic and following developments in related video coding standards. We then describe the structure of a scalable video bitstream, taking the novel H.264/SVC standard as reference, and we further proceed with an analysis of the protocols that can be used for the description, signaling, and transport of scalable video. We describe different network scenarios and examples where scalable video offers significant advantages, before moving on to some remarks on future trends in this area, discussing those mechanisms that must be associated with SVC techniques to achieve an efficient and robust transmission system, and concluding the article.


2011 ◽  
Vol 62 (2) ◽  
pp. 57-64
Author(s):  
Filip Pilka ◽  
Miloš Oravec

Prediction Methods for MPEG-4 and H.264 Video Transmission Video services became a large part of internet network traffic. Therefore understanding of video coding standards and video traffic sources, such as video trace files is highly important. In this paper we concentrate on the basic characteristics of mpeg-4 and h.264 video coding standards. We describe the concept of the i, p and b frames in these standards since they are the main feature of every video trace file. Then we describe the content of the video trace files since the trace files are important for researchers to investigate network performance and understanding of network features. These are the important issues in terms of assuring the quality of service (QoS) in multimedia applications spread across the internet. Traffic prediction and bandwidth allocation are the crucial parts in terms of QoS. In this kind of applications, the artificial neural networks are vastly used. Therefore we illustrate the results of neural networks for video traffic prediction using both mpeg-4 and h.264 trace files.


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