Adaptation of video encoders for improvement in quality

Ramkishor, K.; Raghu, T. S.; Siuman, K.; Gupta, Pooja

doi:10.1109/iscas.2003.1206068

Cited by 5 publications

(2 citation statements)

References 3 publications

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“…On the other hand, as stated in [40], there is a trade-off between small chunks resulting in many small files, which have to be stored for multiple bitrates of each video. Furthermore, choosing longer chunk length (longer chunk with longer GOP) increases the coding efficiency of the source video encoder due to the more temporal redundancy in longer segments [41] keeping the amount of overhead low. These two requirements provide an optimization problem, which needs to be considered during content preparation.…”

Section: Server Side Actionsmentioning

confidence: 99%

Smart Client-Server Protocol and Architecture for Adaptive Multimedia Streaming

Abdullah¹

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In recent years, multimedia services consumption has increased and it is expected that this trend will continue in the near future, becoming the evaluation of Quality of Experience (QoE) as a very important issue for assessing the quality of providers' services. In this sense, the optimization of the QoE is progressively receiving much attention considering that current solutions are not based on the adaptation, feasibility, cost-effectiveness and reliability.The present dissertation is focused on the characterization, design, development and evaluation of different multimedia applications aimed to optimize the QoE.Therefore, this work investigates the influence that the networks infrastructure, the videos' characteristics and the users' terminals present on QoE of the current Internet multimedia services. The work is based on a comprehensive research of subjective and objective assessments in heterogeneous networks. Challenges and research questions related to the state of the art are discussed in this dissertation.In the first phase of this dissertation, we design a test methodology for assessing QoE of live video streaming and video on demand platforms to be transmitted over Wi-Fi and cellular networks. From this initial step, we will propound the related research issues and questions to solve along this dissertation. Our methodology considers the use of subjective and objective metrics to evaluate the QoE perceived by end-users. A set of laboratory experiments is conducted where our proposed methodology is applied. The obtained results are gathered and analyzed to extract the relations between Quality of Service (QoS) and QoE. From the results, we propose a QoSQoE mapping which allows predicting QoE.In the next phase of the research, we develop QoE-optimization algorithms based on network system management for Wi-Fi and cellular networks. The algorithms use the key parameters that were taken into account for QoE assessment. The goal of these algorithms is to provide a flexible management system for the networks in order to achieve the desirable tradeoff between QoE maximization and resource usage efficiency. IILastly, the system testbed is designed in order to evaluate the performance of generic multimedia services applications for the different environments under test. The system testbed is based on virtualization approach; it uses the shared resources of a physical hardware to virtualize all components. The virtualized testbed provides virtualized network functions for the different scenarios such as the Internet (Content Delivery NetworksCDNs) and wireless networks. Therefore, lightweight protocols and agile mechanisms are adopted in the system to provide enhanced service to endusers. The QoE results are reported to the service providers according to the parameters defined in the evaluation process. As a result, we have obtained a cost-effective system, which is considered as a feasible way for test evaluation. III ResumenEn los últimos años, el consumo de servicios multimedia ha aumentado y se pr...

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Section: Server Side Actionsmentioning

confidence: 99%

Smart Client-Server Protocol and Architecture for Adaptive Multimedia Streaming

Abdullah¹

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“…On the other hand, as stated in [65], there is a trade-off between small chunk resulting in many small files which have to be stored for multiple bitrates of each video. Furthermore, choosing longer chunk length (longer chunk with longer GoP) increases the coding efficiency of the source video encoder due to the more temporal redundancy in longer segments [66] keeping the amount of overhead low. These two requirements provide an optimization problem which needs to be considered during content preparation.…”

Section: Server Side Actionsmentioning

confidence: 99%

Subjetive QoE analysis of HTTP adaptive streaming applications

Tavakoli¹

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Optimizing the Quality of Experience (QoE) of HTTP adaptive video streaming (HAS) is receiving increasing attention nowadays. The growth of interest is mainly caused by the fact that current HAS solutions are not QoE-driven, i.e. end-user quality perception is not integral part of the adaptation logic. However, obtaining the necessary reliable ground truths on HAS QoE faces substantial challenges, since the subjective video quality assessment methodologies as proposed by current standards are not well-suited for dealing with the time-varying quality properties that are characteristic for HAS. v vi Mehran, Amir, Reyhaneh and Newsha who have always given me a great energy even from thousands of kilometers away during all these years. Also, many thanks to Katrien and Poul for their real great friendship.Most of all, I would like to thank my parents, Masoud and Giti, my brother, Soroush, my aunts and uncles, Mehran, Mali, Mehran, Reza, Ali and Kamran, and Christian for their love, support and patience during all these years.

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