• Corpus ID: 7045407

Analysis of H . 264 video encoded traffic

@inproceedings{Koumaras2005AnalysisOH,
  title={Analysis of H . 264 video encoded traffic},
  author={Harilaos Koumaras and Charalampos Skianis and George Gardikis and Anastasios Kourtis},
  year={2005}
}
In future wireless and wired communication networks, video is expected to represent a large portion of the total traffic, given that multimedia services, and especially variable bit rate (VBR) coded video streams, are becoming increasingly popular. Consequently, traffic modeling and characterization of such video services is very important for the efficient traffic control and resource management of complex networks. The new H.264/AVC standard, proposed by the ITU-T Video Coding Expert Group… 

Figures and Tables from this paper

A Markov Modified Model of H . 264 VBR Video Traffic
TLDR
This paper proposes a Markov modified model of H.264 unconstraint VBR traffic, featuring slice partitioning, Intra refreshing, separation of picture and sequence data from slice data, which provides robustness during transmission, setting it the most appropriate video coding standard for error prone environments.
Estimation of LRD present in H.264 video traces using wavelet analysis and proving the paramount of H.264 using OPF technique in wi-fi environment
TLDR
This research proves the superiority of H.264 video encoder and OPF’s master class, which is segmented into optimal packet size in the MAC Layer for an efficient and more reliable transfer in the wireless network.
Markov model OF H.264 video sources performing bit-rate switching
TLDR
This work addresses the modelling of the traffic generated by a H.264 source performing bit-rate switching using SP frames, and compares the cell loss rate of a fixed size buffer filled with a synthetic source according to the model herein proposed, with a state of the art AR model and with a real H. 264 video codec.
Implementation of a Rate-Adaptive Approach for H.264 Streaming Traffic Control on Da Vinci dual Core Platform
TLDR
This study proposes a practical approach to make H.264 video encoder dynamically adjust the compression parameters, such as the size of the quantization value, the video frame resolution, and the number of frames generated in each second and more, through a traffic control program to produce adequate video traffic.
Characterization and Modeling of Slice-based Video Traffic
TLDR
New methods to characterize and analyze video traffic in a network perspective are proposed in order to estimate some key network performance parameters, and a Gaussian model is developed for the video traffic.
An extended discrete autoregressive model for variable bit rate video traffic encoded by scalable video codec
TLDR
The main objective of this work was to propose a statistical model that will allow better coordination between generated SVC video traffic and original video traffic, and the frame size distribution of the modeled traffic was found to match that of the original video Traffic better than other existing models.
H.264 video traffic modeling via Hidden Markov Process
TLDR
A synthetic source constituted by a Hidden Markov Process modeling a real bit-rate switching video source is studied and model accuracy is assessed by a comparison of the frame loss rate of a fixed size buffer filled with the synthetic source and with a real H.264 video source.
Statistical Analysis of Video Frame Size Distribution Originating from Scalable Video Codec (SVC)
TLDR
The theoretical definition of distribution is included which seems to be relevant to the video trace in terms of its statistical properties and finds the best distribution using both the graphical method and the hypothesis test.
Characterization of Slice-Based H.264/AVC Encoded Video Traffic
TLDR
The study shows that frame correlation is present only at small lags, and the periodic correlation structure seen in frame-based encoded video is mostly removed for the stream under study, and results from simulations show that the slice-based encode video stream performs better than the frame- based encoded video stream in terms of lower packet loss rates and lower packet delay.
A Survey of VBR Video Traffic Models
TLDR
The results show that the MMG and the wavelet-based models are suitable for both video conference and IPTV, while the DAR model is good for video conference traffic only.
...
...

References

SHOWING 1-10 OF 14 REFERENCES
Efficient modeling of VBR MPEG-1 coded video sources
TLDR
The layer modeling of MPEG-1 coded video streams and statistical analysis of their traffic characteristics at each layer is proposed, along with traffic models capable of estimating the network resources over asynchronous transfer mode (ATM) links, indicating that both Models A and B are good estimators of video traffic behavior over ATM links at a wide range of utilization.
Overview of the H.264/AVC video coding standard
TLDR
An overview of H.264/MPEG-4 AVC is provided and some comparisons with the existing standards, MPEG-2 and MPEG-4 Part 2, are also provided.
Modeling and analysis of a variable bit rate video multiplexer
TLDR
A new analytic model for a variable bit rate video source is developed, which can model a variety of video applications by a suitable choice of model parameters, and shows that with layered coding, good tail probabilities can be obtained for a given number of sources at the expense of some loss for nonessential packets.
Prediction of Bit Rate Sequences of Encoded Video Signals
TLDR
The encoding process is no longer necessary to simulate the bit rate process for a particular video sequence: a video sequence needs to be processed only once to obtain its fundamental parameters: and, in general, the computation of the index processes requires much less processing than the actual encoding.
The impact of the ATM concept on video coding
TLDR
The absence of a physical channel structure and the ability to switch bursty traffic can be used to enhance video coding and a layered coding model offering good cell loss concealment properties and high flexibility is described.
Statistical analysis and simulation study of video teleconference traffic in ATM networks
TLDR
It is found that traffic periodicity can cause different sources with identical statistical characteristics to experience differing cell-loss rates, and a multistate Markov chain model that can be derived from three traffic parameters is sufficiently accurate for use in traffic studies.
Measurement and Statistical Analysis of Asymmetric Multipoint Videoconference Traffic in IP Networks
TLDR
Analysis of the data suggests that the video traffic from the client terminals can always be represented at the frame level as a stationary stochastic process with an autocorrelation function of exponentially fast decay and a marginal frame size distribution of approximately Gamma form.
Performance models of statistical multiplexing in packet video communications
TLDR
This demonstrates that statistical or asynchronous time-division multiplexing (TDM) can efficiently absorb temporal variations of the bit rate of individual sources without the significant variations in reception quality exhibited by multimode videocoders for synchronous TDM or circuit-switched transmission.
Performance modeling of video teleconferencing in ATM networks
TLDR
A simulation study of the potential multiplexing gains from using variable-bit-rate (VBR) encoding to multiplex video teleconferencing traffic over an asynchronous transfer mode (ATM) network finds that the spacing between cells has a large role in determining the aggregate cell loss rate seen by a collection of calls.
Basic characteristics of variable rate video coding in ATM environment
Basic characteristics of variable-rate video coders applied to asynchronous transfer mode (ATM) transmission are described. Burstiness of video information is evaluated for conference-type scenes
...
...