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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jeng-Wei Lin Chang, R.-I. Jan-Ming Ho Lai, F. |
| Copyright Year | 1999 |
| Abstract | Traffic smoothing is an efficient means to reduce the bandwidth requirement for transmitting a variable-bit-rate video stream. Several traffic-smoothing algorithms have been presented to offline compute the transmission schedule for a prerecorded video. For live video applications, Sen present a sliding-window algorithm, referred to as SLWIN(k), to online compute the transmission schedule on the fly. SLWIN(k) looks ahead W video frames to compute the transmission schedule for the next k frametimes, where klesw. Note that W is upper bounded by the initial delay of the transmission. The time complexity of SLWIN(k) is O(W*N/k) for an N frame live video. In this paper, we present an O(N) online traffic-smoothing algorithm and two variants, denoted as FOS, FOS1 and FOS2, respectively. Note that O(N) is a trivial lower bound of the time complexity of the traffic-smoothing problem. Thus, the proposed algorithm is optimal. We compare the performance of our algorithms with SLWIN(k) based on several benchmark video clips. Experiment results show that FOS2, which adopts the aggressive workahead heuristic, further reduces the bandwidth requirement and better utilizes the client buffer for real-time interactive applications in which the initial delays are small |
| Sponsorship | IEEE Signal Processing Society IEEE Circuits and Systems Society IEEE Communications Society IEEE Computer Society |
| Starting Page | 996 |
| Ending Page | 1004 |
| Page Count | 9 |
| File Size | 1079865 |
| File Format | |
| ISSN | 15209210 |
| Volume Number | 8 |
| Issue Number | 5 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-10-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Smoothing methods Bandwidth Streaming media Processor scheduling Video compression Scheduling algorithm Delay Network servers Multimedia systems Telecommunication traffic traffic smoothing Live video multimedia streaming online delivery |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Electrical and Electronic Engineering Computer Science Applications Media Technology |
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