Quality Oriented Adaptation Scheme Research Articles

A Comparison-Based Study of Quality-Oriented Video on Demand

The Quality Oriented Adaptation Scheme (QOAS) is used for high bit-rate multimedia streaming in local broadband multi-service all-IP networks. It balances two opposing goals: providing high quality multimedia-based services to end-users, and increasing the infrastructure utilization and number of customers simultaneously served. Extensive objective testing results presented in this paper show that QOAS achieves high performance in terms of end-user perceived quality, loss rate, throughput, link utilization, and number of customers simultaneously served. These results were obtained even in highly loaded and variable delivery conditions caused by traffic of different types, sizes, and variation patterns. QOAS performance was assessed stand-alone and in comparison with other existing solutions, adaptive and non-adaptive

Efficient Delivery of Multimedia Streams Over Broadband Networks Using QOAS

Quality Oriented Adaptation Scheme (QOAS) is compared against other adaptive schemes such as TCP Friendly Rate Control Protocol (TFRCP), Loss-Delay-based Adaptation Algorithm (LDA+), and a nonadaptive (NoAd) solution when streaming multiple multimedia clips with various characteristics over broadband networks. Streaming efficiency is assessed in terms of loss rate, bandwidth utilization, number of concurrent clients and end-user perceived quality. Simulation results show that using QOAS a significantly higher number of simultaneous clients can be served than when using the other schemes given a target average end-user quality. This is while having higher bandwidth utilization. Testing results also indicate that higher performance is achieved when streaming to the same number of clients using QOAS than when other solutions are used.

Objective and subjective evaluation of QOAS video streaming over broadband networks

This article presents objective and subjective testing results that assess the performance of the Quality-Oriented Adaptation Scheme (QOAS) when used for high quality multimedia streaming over local broadband IP networks. Results of objective tests using a QOAS simulation model show very efficient adaptation in terms of end-user perceived quality, loss rate, and bandwidth utilization, compared to existing adaptive streaming schemes such as LDA+, and TFRCP. Subjective tests confirm these results by showing high end-user perceived quality of the QOAS under various network conditions.

Subjective Assessment of the Quality-Oriented Adaptive Scheme

The Quality-Oriented Adaptation Scheme (QOAS) supports the distribution of high quality multimedia services to a large number of simultaneous customers via given broadband IP infrastructure. This paper presents subjective testing results that augment previously reported objective performance assessment. Clips representing different classes of multimedia sequences in terms of motion content and types were selected and streamed using a QOAS-based prototype system. Congested delivery network conditions were emulated and the effects of the consequent QOAS-driven adaptations were subjectively assessed by end-users. The test subjects have also graded their perceived quality when using a nonadaptive streaming approach. The QOAS-related results were much higher than those obtained for a nonadaptive approach, being above the "good" perceptual level for all multimedia clips and in all tested delivery conditions.

Performance Comparison of Local Area Video Streaming Systems

The performance of our Quality Oriented Adaptation Scheme (QOAS) for multimedia streaming in local networks is compared with other existing solutions (TFRCP, LDA+, and non-adaptive). This comparison is done in terms of bandwidth utilization, number of concurrent clients, loss rate, and end-user perceived quality. Simulation results show that for the same average end-user quality, our QOAS system can accommodate a significantly higher number of simultaneous clients while also having higher bandwidth utilization. For the same number of clients, the average end-user quality is always higher for QOAS than for the other solutions studied.

A New Adaptive Multimedia Streaming System for All-IP Multi-Service Networks

A significant challenge in all-IP multi-service networks is to balance the goal of providing high-quality services to the end-users with the desire to maximize the number of end-users that can be simultaneously served. This paper presents a solution to this challenge by using the Quality-Oriented Adaptation Scheme (QOAS) for delivering multimedia streams. This adaptive mechanism uses feedback from clients regarding the quality of delivery to assist the server in making dynamic adjustments to the transmitted streams. Experimental objective and subjective test results illustrate the significant performance improvements achieved by QOAS, both in terms of number of simultaneous viewers served and of end-user perceived quality.

Quality-oriented adaptation scheme for video-on-demand

A new quality-oriented adaptation scheme (QOAS) is proposed in which the adaptation of streamed video is based on end-user perceived quality information. QOAS has been tested in a simulated local multi-service IP network with various types, sizes and shapes of background traffic. Test results show good end-user perceived quality and high link utilisation with very low loss rates. In addition, the performance of QOAS is very close to that of an ideal adaptive system in all traffic conditions.