Functional coding of video using a shape-adaptive DCT algorithm and an object-based motion prediction toolbox

Kauff, Peter; Makai, B.; Rauthenberg, S.; Golz, U.; Lameillieure, Jan L.P. De; Sikora, Thomas

doi:10.1109/76.554429

Cited by 32 publications

(21 citation statements)

References 13 publications

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“…Based on Table 1, the packet loss statistics and comparison between I-PLR and PLR are shown in Figure 7 and 8, respectively. It is clearly from Table 1 and Figure 8 that the RS (7,5) code can significantly enhance the replay quality for video streaming systems by effectively controlling packet losses. For example, the system with erasure Band A: Number of groups which have one lost packet Band B:…”

Section: B Results Analysismentioning

confidence: 99%

“…When the packets are transmitted over the platform, if the number of the lost packets is smaller or equal to 2 in any one group, and then the client can recover all the lost packets since this is within the erasure correction capacity of the RS (7,5) In Table 1, parameter R is defined as the rate of successfully receiving at the receiver. Those groups that have some packets lost are divided into three Bands, i.e., Band A with one loss (or R = 6/7), Band B with two losses (or R = 5/7), and Band C with more than two losses (or R < 5/7), respectively.…”

Section: B Results Analysismentioning

confidence: 99%

“…Figure 9 shows that the user perceived quality gets more improvements, where three frames are used to compare the replay quality between the systems without and with erasure coding. We assess the performance of the RS (7,5) code by using the uncorrectable probability, which is the probability of an uncorrectable error that occurs when more than two packets are lost within one group. Figure 10 shows both the analytical values and experimental results for the uncorrectable probability.…”

Section: B Results Analysismentioning

confidence: 99%

“…In these seven symbols, five of them come from five source video packets respectively and two of them are generated by applying the RS (7, 5) code algorithm on those five data symbols. The symbols generated by the RS (7,5) code are organized into two new packets, called parity packets. On the NTuner platform, the random packet loss pattern is adopted and the packet loss rate is tuned from 0.2% to 5%.…”

Section: A Experiments Setupmentioning

confidence: 99%

“…The RS (7,5) code with the capability of recovering 2 lost packets per 7 packets is employed in the payload of each UDP packet. Figure 5 shows the UDP payload format for erasure correction using the RS (7,5) code. Each packet includes 8 bytes header and 188 bytes payload ( figure 6 shows the packet format).…”

Section: A Experiments Setupmentioning

confidence: 99%

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A testbed of erasure coding on video streaming system over lossy networks

Zhang

Peng

2007

2007 International Symposium on Communications and Information Technologies

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Abstract-As one of the most challenging aspects of streaming video over lossy networks, the technology for controlling packet losses has attracted more and more attention. Erasure coding is one of the ideal choices to deal with this problem. In most cases, the researchers need an effective method or tool to validate the erasure codes used for dealing with different packet loss patterns. Although some previous work has been done on employing erasure codes in video streaming system, few actual buildups and experiments which involve implementation of erasure codes against real packet loss in streaming systems have been reported. In this paper, we focus on constructing a testbed that integrates loss pattern generation and erasure coding implementation into video streaming services over lossy networks. With this approach, we are able to assess the capability of erasure coding in packet loss control and compare the performances of the video streaming systems with and without erasure coding. As an example, we have implemented the Reed-Solomon (7, 5) code for protecting MPEG streaming data under random packet losses. Experiment results show that the replay quality can be improved significantly by using erasure coding in video streaming systems, and that the testbed can suggest appropriate erasure code parameters for different loss environments.

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Section: B Results Analysismentioning

confidence: 99%

Section: B Results Analysismentioning

confidence: 99%

Section: B Results Analysismentioning

confidence: 99%

Section: A Experiments Setupmentioning

confidence: 99%

Section: A Experiments Setupmentioning

confidence: 99%

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A testbed of erasure coding on video streaming system over lossy networks

Zhang

Peng

2007

2007 International Symposium on Communications and Information Technologies

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MPEG Video Coding: MPEG-1, 2, 4, and 7

Drew

Liu

2014

Texts in Computer Science

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Segmentation of moving images by the human visual system

Chantelau

1997

Biological Cybernetics

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New segments appearing in an image sequence or spontaneously accelerated segments are band limited by the visual system due to a nonperfect tracking of these segments by eye movements. In spite of this band limitation and acceleration of segments, a coarse segmentation (initial segmentation phase) can be performed by the visual system. This is interesting for the development of purely automatic segmentation algorithms for multimedia applications. In this paper the segmentation of the visual system is modelled and used in an automatic coarse initial segmentation. A suitable model for motion processing based on a spectral representation is presented and applied to the segmentation of synthetic and real image sequences with band limited and accelerated moving foreground and background segments.

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Functional coding of video using a shape-adaptive DCT algorithm and an object-based motion prediction toolbox

Cited by 32 publications

References 13 publications

A testbed of erasure coding on video streaming system over lossy networks

A testbed of erasure coding on video streaming system over lossy networks

MPEG Video Coding: MPEG-1, 2, 4, and 7

Segmentation of moving images by the human visual system

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