Scalable Internet video using MPEG-4

Abstract

Real-time streaming of audio-visual content over Internet Protocol (IP) based networks has enabled a wide range of multimedia applications. An Internet streaming solution has to provide real-time delivery and presentation of a continuous media content while compensating for the lack of Quality-of-Service (QoS) guarantees over the Internet. Due to the variation and unpredictability of bandwidth and other performance parameters (e.g. packet loss rate) over IP networks, in general, most of the proposed streaming solutions are based on some type of a data loss handling method and a layered video coding scheme. In this paper, we describe a real-time streaming solution suitable for non-delay-sensitive video applications such as video-on-demand and live TV viewing.The main aspects of our proposed streaming solution are:1. An MPEG-4 based scalable video coding method using both a prediction-based base layer and a "ne-granular enhancement layer;2. An integrated transport-decoder bu!er model with priority re-transmission for the recovery of lost packets, and continuous decoding and presentation of video. In addition to describing the above two aspects of our system, we also give an overview of a recent activity within MPEG-4 video on the development of a "ne-granular-scalability coding tool for streaming applications. Results for the performance of our scalable video coding scheme and the re-transmission mechanism are also presented. The latter results are based on actual testing conducted over Internet sessions used for streaming MPEG-4 video in realtime.Published by

The MPEG-4 fine-grained scalable video coding method for multimedia streaming over IP

“…3 After identifying and the corresponding , the FGS enhancement-layer encoder scans the residual signal using the traditional zig-zag scanning method starting from the most significant bitplane and ending at the least significant bitplane 4 as shown in Fig. 3(b).…”

“…Throughout this document we describe FGS based on the "pre clipping" residual computation approach which eliminates the need for performing DCT computation within the FGS enhancement-layer encoder. 3 In the FGS MPEG-4 standard, three parameters are used for the number-ofbitplanes variable N : N (Y ), N (U ), and N (V ) for the luminance and chroma components of the video signal [4]. 4 Alternatively, the encoder may stop encoding the residual signal if the desired maximum bitrate is reached.…”

“…This leads to the requirement that servers and the underlying transport protocols should be able to handle the delivery of a very large number (hundreds, thousands, or possibly millions) of video streams simultaneously. Consequently, any scalable Internet video-coding solution has to enable a very simple and flexible streaming framework, and hence, it must meet the following requirements [3].…”

Urban Traffic Control: A Streaming Multimedia Approach

“…Other network based solutions have been adopted for traffic video surveillance systems: (i) using web cameras reducing the quality of the video signal and a general purpose TCP/IP network or (ii) using a digital cabling network to reduce cabling costs and improve scalability problems [4]. But currently, no system targets all drawbacks by using a high-speed TCP/IP network with QoS, keeping the quality of the video signal using MPEG4 compression standard, video streaming techniques and providing an improvement in the scalability by sharing links by multiple streams [5] [6].…”

“…A VoD system allows customers to select movies from a large menu in order to view them (e.g., at home) at times of their choosing. This has motivated advancements in a number of research areas including techniques for video compression, error-resilient video delivery for lossy packet networks and media networking system design coupling media delivery and networking [3][4][5][6]. This paper is related with the latest research area, we present a traffic management system for a large city in Spain based in media streaming techniques.…”