Digital Signal Processing Reference
In-Depth Information
Figure 7.3. System-Level Diagram for End-to-End transmission of MPEG au-
dio / visual data
tions[Chang and Bocheck, 1998] [Dawood and Ghanbari, 1998] [Wu and
Joyce, 1999]. The major challenge of Intelligent Video Transport then is
to manage large-scale wireless / mobile multimedia networks with respect
to the allocation of network resources (such as buffering and bandwidth).
To achieve the optimal utilization of network resources, we will research
to end-to-end network transmission of MPEG video through content-
based dynamic resource allocation among users and applications.
The future MPEG-7 descriptions of video content will hint at patterns
of the long-term behavior of the video data. It will be vital for inter-
net / wireless multimedia that we remap feature space of content char-
acteristics (activity, high movement, violence, scene change, etc) onto
dynamic patterns of network behavior (bit-rate, power rate, error rate,
power balance). A content-based traffic model, based on relationship
between video structure and its compressed representation, will be de-
veloped for the improving the prediction of the resources required by
video contents. For example, face detection, sketch of trajectory / shape,
indoor / outdoor detection, multiresolution model, object entry and exit
may correlate well with network traffic patterns. The research will be
focused on automatic classification of video sequences with respect to
their network behaviors and use subjective measures of content to im-
prove significantly video transmission quality. We will fuse MPEG-7
semantic level knowledge with network predictions and adapt to chang-
ing network conditions for best quality of service. Content behavior
can be fused with current network characteristics to give more accurate
forecast of network activity, and better resource allocation. Based on
traffic of each content categories, the system automatically determines
the optimal resource negotiation strategy for each video stream, dynam-
ically allocating resources to improve network utilization and cope with
changing network traffic.
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