Evalvid-RASV: Shaped VBR rate adaptation stored video system

Abstract

Video traffic is a variable bit rates (VBR) data source in nature and it generates highly bursty traffic.Recent implementations mostly buffer the media source in order to regenerate it in the form of constant bit rates (CBR). Consequently, it will add more delays to the system and thus unable to support the original nature of the video data. Inspired by the works of Hamdi et al. [1] and Lie and Klaue [2], we developed Evalvid-RASV.This system is working on the VBR concept (open-loop video coding), but it is "shaped" so that it will not produce uncompromised bursty traffic without additional delay.With the knowledge of video characteristics in advance, Evalvid-RASV was developed to utilize the information resulting a better algorithm.In addition, we implemented the system in Evalvid-RA environment. It is an environment which is able to perform rate adaptation to the media data source and has an integrated video performance evaluation tools, especially user-perceived video quality. Our experiments have shown that Evalvid-RASV outperforms open-loop VBR in term Peak Signal Noise Ratio (PSNR) value and acceptable delay time.

Autonomous framework simulation tools for real-time multimedia streaming over wireless ad-hoc networks

“…In recent years, several framework simulation tools over wireless networks have been proposed in the literature. 12–23…”

“…The authors implemented the quality evaluation of video streams and the properties of various impact factors when multimedia information is conveyed in the network and the relationships among these factors. Arif et al 19 developed Evalvid-RASV based on Evalvid-RA to perform rate adaptation on the media data source and integration of the video performance evaluation tool, specifically user-perceived video quality. Also, Castellanos et al 20 proposed SVCEval-RA simulation tools to perform network simulations that contain rate-adaptive video transmission using scalable video coding (SVC).…”

“…The previous simulation tools 12–23 are designed to simulate real-time multimedia transmission over a specific transport layer protocol, for example, Evalvid simulates real-time video transmission over the UDP, Evalvid-SCTP simulates real-time video transmission over the SCTP, and HAS/DASH simulates adaptive streaming over the HTTP over the TCP. Furthermore, the delivery quality assessment of transmission in the current simulation tools required more processing time and did not adequately reflect the behavior of real-time forwarding for a multimedia stream over wireless networks.…”

A video transmission method based on QoS in space tracking networks

“…Single partition is recovered from transmission record file, which records simulated errors and loss, and the original video [7]. Then they are assembled to one whole video.…”

The Relationship of TFRC Congestion Control to Video Rate Control Optimization

“…This paper investigated the previously mentioned statement by looking deeply inside both the video rate adaptation and the transport layer protocol. For the video rate adaptation, we used the Evalvid-RASV [1], a shaped VBR (SVBR) [2] rate adaptation for stored video system. Whereas, in the transport layer protocol, we examined the TFRC.…”