Parametric Packet Based Audiovisual Quality Model for IPTV Services Labs
Abstract
This book presents a novel parametric packet based audiovisual quality model for IPTV services labs. The model is based on a combination of packet-level and frame-level features, and it is able to accurately predict the perceived quality of IPTV services in a variety of network conditions. The model has been validated through extensive subjective testing, and it has been shown to be more accurate than existing models.
IPTV services are becoming increasingly popular, as they offer a convenient and affordable way to access television and other video content. However, the quality of IPTV services can vary significantly depending on the network conditions. In Free Download to ensure that IPTV services meet the expectations of users, it is important to be able to accurately measure the quality of these services.
5 out of 5
Language | : | English |
File size | : | 7600 KB |
Text-to-Speech | : | Enabled |
Screen Reader | : | Supported |
Enhanced typesetting | : | Enabled |
Print length | : | 365 pages |
There are a number of existing audiovisual quality models that can be used to measure the quality of IPTV services. However, most of these models are based on subjective testing, which can be time-consuming and expensive. In addition, subjective testing can be unreliable, as it is subject to the biases of the participants.
This book presents a novel parametric packet based audiovisual quality model for IPTV services labs. The model is based on a combination of packet-level and frame-level features, and it is able to accurately predict the perceived quality of IPTV services in a variety of network conditions. The model has been validated through extensive subjective testing, and it has been shown to be more accurate than existing models.
Parametric Packet Based Audiovisual Quality Model
The proposed parametric packet based audiovisual quality model is based on a combination of packet-level and frame-level features. The packet-level features include the packet arrival time, the packet size, and the packet loss rate. The frame-level features include the frame rate, the frame size, and the frame quality.
The model uses a linear regression model to predict the perceived quality of IPTV services. The input to the model is a set of packet-level and frame-level features, and the output is a predicted quality score. The quality score is a number between 0 and 1, where 0 represents the worst possible quality and 1 represents the best possible quality.
The model has been trained on a large dataset of subjective quality scores. The dataset was collected from a group of participants who watched a variety of IPTV services in a variety of network conditions. The participants were asked to rate the quality of the services on a scale of 0 to 1.
The model has been shown to be accurate in predicting the perceived quality of IPTV services in a variety of network conditions. The model has a mean absolute error of 0.15, which means that it is able to predict the quality of IPTV services within 0.15 points on a scale of 0 to 1.
Applications of the Model
The proposed parametric packet based audiovisual quality model can be used for a variety of applications, including:
- Monitoring the quality of IPTV services
- Troubleshooting IPTV quality problems
- Developing new IPTV services
- Comparing the quality of different IPTV providers
The model can be used by IPTV service providers, network operators, and end users. The model can help service providers to identify and resolve quality problems, and it can help network operators to optimize their networks for IPTV traffic.
This book has presented a novel parametric packet based audiovisual quality model for IPTV services labs. The model is based on a combination of packet-level and frame-level features, and it is able to accurately predict the perceived quality of IPTV services in a variety of network conditions. The model has been validated through extensive subjective testing, and it has been shown to be more accurate than existing models.
The model has a variety of applications, including monitoring the quality of IPTV services, troubleshooting IPTV quality problems, developing new IPTV services, and comparing the quality of different IPTV providers. The model can be used by IPTV service providers, network operators, and end users.
5 out of 5
Language | : | English |
File size | : | 7600 KB |
Text-to-Speech | : | Enabled |
Screen Reader | : | Supported |
Enhanced typesetting | : | Enabled |
Print length | : | 365 pages |
Do you want to contribute by writing guest posts on this blog?
Please contact us and send us a resume of previous articles that you have written.
- Book
- Novel
- Page
- Chapter
- Text
- Story
- Genre
- Reader
- Library
- Paperback
- E-book
- Magazine
- Newspaper
- Paragraph
- Sentence
- Bookmark
- Shelf
- Glossary
- Bibliography
- Foreword
- Preface
- Synopsis
- Annotation
- Footnote
- Manuscript
- Scroll
- Codex
- Tome
- Bestseller
- Classics
- Library card
- Narrative
- Biography
- Autobiography
- Memoir
- Reference
- Encyclopedia
- Isaac Prilleltensky
- Eavan Boland
- Pierre Tiquet
- Brandon K Gauthier
- D A Indeitsev
- Kathrin Zenkina
- Clydell Coates
- Thalma Lobel
- Nancy Dufresne
- Lowell Fryman
- Amit Verma
- J R James
- Kwame Anthony Appiah
- Jason Galster
- Stephen Tou
- David Roemer
- Margo Demello
- Cassandra Snow
- Mary Szczepanski
- David Vine
Light bulbAdvertise smarter! Our strategic ad space ensures maximum exposure. Reserve your spot today!
- Emanuel BellFollow ·16.1k
- Floyd RichardsonFollow ·15.5k
- Leon FosterFollow ·6.8k
- Hunter MitchellFollow ·15.7k
- Sammy PowellFollow ·9.9k
- Henry Wadsworth LongfellowFollow ·11.7k
- Justin BellFollow ·12.3k
- Mikhail BulgakovFollow ·9.4k
Unveiling the Silent Pandemic: Bacterial Infections and...
Bacterial infections represent...
Finally, Outcome Measurement Strategies Anyone Can...
In today's...
Unlocking the Secrets to Entrepreneurial Excellence:...
Empowering...
Our Search For Uncle Kev: An Unforgettable Journey...
Prepare to be captivated by...
5 out of 5
Language | : | English |
File size | : | 7600 KB |
Text-to-Speech | : | Enabled |
Screen Reader | : | Supported |
Enhanced typesetting | : | Enabled |
Print length | : | 365 pages |