Modeling full-length video using Markov-modulated Gamma-based framework

Research output: Contribution to conferencePaper

Abstract

All traffic models for MPEG-like encoded variable bit rate (VBR) video can be categorized into (i) data rate models (DRMs), and (ii) frame size models (FSMs). Almost all proposed VBR traffic models are DRMs. Since DRMs generate only data arrival rate, they are good for estimating average packet-loss and ATM buffer over-flowing probabilities, but fail to identify such details as percentage of frames affected. FSMs generate sizes of individual MPEG frames, and are good for studying frame loss rate in addition to data loss rate. Among three proposed FSMs: (i) one generates frame sizes for full-length movies without preserving GOP-periodicity; (ii) one generates VBR video traffic for news videos from scene content description provided to it; (iii) one generates frame sizes for full-length movies without preserving size-based video-segment transitions. In this paper we propose two FSMs that generate frame sizes for full-length VBR videos preserving both GOP-periodicity and size-based video-segment transitions. First, two-pass algorithms for analysis of full-length VBR videos are presented. After two-pass analysis these algorithms identify and partition (size-based) classes of video segments. Frames in each segment class produce three data-sets one each for I-, B-, and P-type frames. Each of these data-sets is modeled with an axis shifted Gamma distribution. Markov renewal processes model (size-based) video segment transitions. We have used QQ plots to show visual similarity of model-generated VBR video data-sets with original data-set. Leaky-bucket simulation study is used to show similarity of data and frame loss rates between model-generated VBR videos and original video. Our study of frame-based VBR video revealed even a low data loss rate could affect a large fraction of I frames causing a significant degradation of the quality of transmitted video.

Original languageEnglish (US)
Pages1979-1983
Number of pages5
StatePublished - Dec 1 2001
EventIEEE Global Telecommunicatins Conference GLOBECOM'01 - San Antonio, TX, United States
Duration: Nov 25 2001Nov 29 2001

Other

OtherIEEE Global Telecommunicatins Conference GLOBECOM'01
CountryUnited States
CitySan Antonio, TX
Period11/25/0111/29/01

Fingerprint

modeling
rate
video
periodicity
Automatic teller machines
Packet loss
Markov processes
airborne thematic mapper
Degradation
loss
simulation
traffic

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Global and Planetary Change

Cite this

Sarkar, U. K., Ramakrishnan, S., & Sarkar, D. (2001). Modeling full-length video using Markov-modulated Gamma-based framework. 1979-1983. Paper presented at IEEE Global Telecommunicatins Conference GLOBECOM'01, San Antonio, TX, United States.

Modeling full-length video using Markov-modulated Gamma-based framework. / Sarkar, Uttam K.; Ramakrishnan, Subramanian; Sarkar, Dilip.

2001. 1979-1983 Paper presented at IEEE Global Telecommunicatins Conference GLOBECOM'01, San Antonio, TX, United States.

Research output: Contribution to conferencePaper

Sarkar, UK, Ramakrishnan, S & Sarkar, D 2001, 'Modeling full-length video using Markov-modulated Gamma-based framework' Paper presented at IEEE Global Telecommunicatins Conference GLOBECOM'01, San Antonio, TX, United States, 11/25/01 - 11/29/01, pp. 1979-1983.
Sarkar UK, Ramakrishnan S, Sarkar D. Modeling full-length video using Markov-modulated Gamma-based framework. 2001. Paper presented at IEEE Global Telecommunicatins Conference GLOBECOM'01, San Antonio, TX, United States.
Sarkar, Uttam K. ; Ramakrishnan, Subramanian ; Sarkar, Dilip. / Modeling full-length video using Markov-modulated Gamma-based framework. Paper presented at IEEE Global Telecommunicatins Conference GLOBECOM'01, San Antonio, TX, United States.5 p.
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