The load generated by new types of communications services related to multi
media and video transmission is becoming one of the major sources of traffi
c in WAN networks. Modeling this type of load is a prerequisite for any per
formance study, In this paper, we approach the load-characterization proble
m from a global point of view by analyzing a set of 20 video streams. We de
veloped resource-, subject-, and scene-oriented characterizations of coded
video streams. We have also implemented multidimensional data-analysis tech
niques and applied a "scene working set" approach, as well as static and dy
namic video traffic models. We show that the behavior of a video sequence c
an be predicted with high accuracy by applying the scene working set techni
que. Applications of this technique for predicting bandwidth demands and al
locating buffers in an ATM switch are also described in this study.