Self Similarity And Stationarity Of Increments In VBR Video
| المصدر: | مجلة جامعة الملك سعود - علوم الحاسب والمعلومات |
|---|---|
| الناشر: | جامعة الملك سعود |
| المؤلف الرئيسي: | Rikli, Nasser Eddine (Author) |
| المجلد/العدد: | مج24, ع1 |
| محكمة: | نعم |
| الدولة: |
السعودية |
| التاريخ الميلادي: |
2012
|
| الصفحات: | 7 - 16 |
| DOI: |
10.33948/0584-024-001-002 |
| ISSN: |
1319-1578 |
| رقم MD: | 972023 |
| نوع المحتوى: | بحوث ومقالات |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | science |
| مواضيع: | |
| كلمات المؤلف المفتاحية: |
VBR Video | Self Similarity | Long Range Dependence | Modeling Techniques | Traffic Spread | Stationary Increments
|
| رابط المحتوى: |
| المستخلص: |
As self-similarity trail is being detected in many types of traffic, and the Markovian models failing to represent some statistical behaviors, the tools being used for traffic testing are still complex. Our study here is related to VBR video. Its self-similarity and long-range dependence aspects will be tested using a wavelet-based tool. As the test tool requires stationarity of the increments of the traces, a novel testing technique will be suggested for this aim. Then, the degree of self-similarity will be related to both the traces time scale and its statistical measures of spreading. |
|---|---|
| ISSN: |
1319-1578 |
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