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Video Source Modelling Networks

by John Murphy, Jerry Teahan - Eleventh UK IEE Teletra c Symp , 1994
"... This paper presents our contribution to the area of Video Traffic Characterization (VTC). We will present video source models which are based on analysis of real videophone type data and discuss the results of the simulations carried out using these models. While the results we produce are dependent ..."
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This paper presents our contribution to the area of Video Traffic Characterization (VTC). We will present video source models which are based on analysis of real videophone type data and discuss the results of the simulations carried out using these models. While the results we produce

Video Source Modelling for AT11 Xetworks

by John Murphy, Jerry Teahan
"... There is a need to model telecommunications sources for network design and planning, such as the investigation of various congestion control mechanisms. Traditionally it was suficient to model voice trafic for the tdephone network and data trafic for computer networks. With the emergence of AT.11 nc ..."
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There is a need to model telecommunications sources for network design and planning, such as the investigation of various congestion control mechanisms. Traditionally it was suficient to model voice trafic for the tdephone network and data trafic for computer networks. With the emergence of AT.11

Analysis, Modeling and Generation of Self-Similar VBR Video Traffic

by Mark Garrett, Walter Willinger , 1994
"... We present a detailed statistical analysis of a 2-hour long empirical sample of VBR video. The sample was obtained by applying a simple intraframe video compression code to an action movie. The main findings of our analysis are (1) the tail behavior of the marginal bandwidth distribution can be accu ..."
Abstract - Cited by 548 (6 self) - Add to MetaCart
be accurately described using "heavy-tailed" distributions (e.g., Pareto); (2) the autocorrelation of the VBR video sequence decays hyperbolically (equivalent to long-range dependence) and can be modeled using self-similar processes. We combine our findings in a new (non-Markovian) source model

A Content Based Approach to VBR Video Source Modeling

by Paul Bocheck, Shih-fu Chang - IEEE 6th International Workshop on Network and Operating Systems Support for Digital Audio and Video , 1996
"... We are presenting a new framework of content based video (CBV) modeling, suitable for scalable variable bit rate (VBR) video traffic. Our approach differs form previous works in that it is not based only on matching of various statistics of the original source, but rather it includes characterizatio ..."
Abstract - Cited by 2 (2 self) - Add to MetaCart
We are presenting a new framework of content based video (CBV) modeling, suitable for scalable variable bit rate (VBR) video traffic. Our approach differs form previous works in that it is not based only on matching of various statistics of the original source, but rather it includes

Bandera: Extracting Finite-state Models from Java Source Code

by James C. Corbett, Matthew B. Dwyer, John Hatcliff, Shawn Laubach, Corina S. Pasareanu, Hongjun Zheng - IN PROCEEDINGS OF THE 22ND INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING , 2000
"... Finite-state verification techniques, such as model checking, have shown promise as a cost-effective means for finding defects in hardware designs. To date, the application of these techniques to software has been hindered by several obstacles. Chief among these is the problem of constructing a fini ..."
Abstract - Cited by 654 (33 self) - Add to MetaCart
program source code. Bandera takes as input Java source code and generates a program model in the input language of one of several existing verification tools; Bandera also maps verifier outputs back to the original source code. We discuss the major components of Bandera and give an overview of how it can

Moses: Open Source Toolkit for Statistical Machine Translation

by Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-burch, Richard Zens, Marcello Federico, Nicola Bertoldi, Chris Dyer, Brooke Cowan, Wade Shen, Christine Moran, Ondrej Bojar, Alexandra Constantin, Evan Herbst - ACL , 2007
"... We describe an open-source toolkit for statistical machine translation whose novel contributions are (a) support for linguistically motivated factors, (b) confusion network decoding, and (c) efficient data formats for translation models and language models. In addition to the SMT decoder, the toolki ..."
Abstract - Cited by 1517 (66 self) - Add to MetaCart
We describe an open-source toolkit for statistical machine translation whose novel contributions are (a) support for linguistically motivated factors, (b) confusion network decoding, and (c) efficient data formats for translation models and language models. In addition to the SMT decoder

Object exchange across heterogeneous information sources

by Yannis Papakonstantinou, Hector Garcia-molina, Jennifer Widom - INTERNATIONAL CONFERENCE ON DATA ENGINEERING , 1995
"... We address the problem of providing integrated access to diverse and dynamic information sources. We explain how this problem differs from the traditional database integration problem and we focus on one aspect of the information integration problem, namely information exchange. We define an object- ..."
Abstract - Cited by 510 (55 self) - Add to MetaCart
-based information exchange model and a corresponding query language that we believe are well suited for integration of diverse information sources. We describe how, the model and language have been used to integrate heterogeneous bibliographic information sources. We also describe two general-purpose libraries we

The TSIMMIS Project: Integration of Heterogeneous Information Sources

by Sudarshan Chawathe, Hector Garcia-Molina, Joachim Hammer, Kelly Ireland, Yannis Papakonstantinou, Jeffrey Ullman, Jennifer Widom
"... The goal of the Tsimmis Project is to develop tools that facilitate the rapid integration of heterogeneous information sources that may include both structured and unstructured data. This paper gives an overview of the project, describing components that extract properties from unstructured objects, ..."
Abstract - Cited by 535 (19 self) - Add to MetaCart
, that translate information into a common object model, that combine information from several sources, that allow browsing of information, and that manage constraints across heterogeneous sites. Tsimmis is a joint project between Stanford and the IBM Almaden Research Center.

Efficient region tracking with parametric models of geometry and illumination

by Gregory D. Hager, Peter N. Belhumeur - PAMI , 1998
"... Abstract—As an object moves through the field of view of a camera, the images of the object may change dramatically. This is not simply due to the translation of the object across the image plane. Rather, complications arise due to the fact that the object undergoes changes in pose relative to the v ..."
Abstract - Cited by 563 (30 self) - Add to MetaCart
to the viewing camera, changes in illumination relative to light sources, and may even become partially or fully occluded. In this paper, we develop an efficient, general framework for object tracking—one which addresses each of these complications. We first develop a computationally efficient method

Graphcut textures: Image and video synthesis using graph cuts

by Vivek Kwatra, Arno Schödl, Irfan Essa, Greg Turk, Aaron Bobick - ACM Transactions on Graphics, SIGGRAPH 2003 , 2003
"... This banner was generated by merging the source images in Figure 6 using our interactive texture merging technique. In this paper we introduce a new algorithm for image and video texture synthesis. In our approach, patch regions from a sample image or video are transformed and copied to the output a ..."
Abstract - Cited by 490 (9 self) - Add to MetaCart
This banner was generated by merging the source images in Figure 6 using our interactive texture merging technique. In this paper we introduce a new algorithm for image and video texture synthesis. In our approach, patch regions from a sample image or video are transformed and copied to the output
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