Error control techniques for interactive low-bit rate video transmission over the Internet
Proceedings of the ACM SIGCOMM '98 conference on Applications, technologies, architectures, and protocols for computer communication
Adaptive rate control for streaming stored fine-grained scalable video
NOSSDAV '02 Proceedings of the 12th international workshop on Network and operating systems support for digital audio and video
Rate-Quality Optimized Video Coding
Rate-Quality Optimized Video Coding
International Journal of Communication Systems
FGS-MR: MPEG4 fine grained scalable multi-resolution layered video encoding
Proceedings of the 2006 international workshop on Network and operating systems support for digital audio and video
Energy-Aware Multi-Path Streaming of MPEG-4 FGS Video over Wireless
ICESSSYMPOSIA '08 Proceedings of the 2008 International Conference on Embedded Software and Systems Symposia
Multiple Descriptions and Adaptive Delivery of Media Content over Wireless
IIH-MSP '08 Proceedings of the 2008 International Conference on Intelligent Information Hiding and Multimedia Signal Processing
Resource allocation for multimedia streaming over the Internet
IEEE Transactions on Multimedia
Fine granularity scalable video: implications for streaming and a trace-based evaluation methodology
IEEE Communications Magazine
Overview of fine granularity scalability in MPEG-4 video standard
IEEE Transactions on Circuits and Systems for Video Technology
A robust scene-change detection method for video segmentation
IEEE Transactions on Circuits and Systems for Video Technology
Adaptive motion-compensation fine-granular-scalability (AMC-FGS) for wireless video
IEEE Transactions on Circuits and Systems for Video Technology
MPEG-4 and H.263 video traces for network performance evaluation
IEEE Network: The Magazine of Global Internetworking
An overview of quality of experience measurement challenges for video applications in IP networks
WWIC'10 Proceedings of the 8th international conference on Wired/Wireless Internet Communications
| Hi-index | 0.24 |
With the proliferation of video contents widely distributed over the Internet and the progress of video coding (e.g., H.264/AVC) and transmission technologies, more challenges need to overcome in order to meet the requirements of all users with diverse terminals. Video streaming over IP and wireless becomes a popular issue since the new century. However, there is little work concerning the quantitative analysis on the objective quality of streaming videos. Thus a strict definition of the objective quality and quality variation of scalable video coding (SVC) is required, in order to efficiently transmit video contents over Internet and wireless and reach an attainable subjective quality perception for end-users. Since FGS (fine granularity scalability) video is coded in bit planes, its enhancing layer can be truncated arbitrarily, as a case study of scalable video coding, an objective quality definition for FGS-coded video is introduced in this paper, based on MSE (mean square error) and PSNR (peak signal-to-noise ratio). This definition can also be generalized to any layered scalable coding videos, such as the traditional layered videos in BL+ELs (base layer+enhancing layers) formats or H.264/AVC in BL+CGS (coarse granularity scalability)+FGS structures, and it can be applied to design optimal algorithms for video streaming. Furthermore, It can also be taken as a measure to assess the subjective quality of streaming videos, by incorporating user preferences and terminal capacities. According to this definition, a quality optimal problem of scene in video segments is formulated and solved using the state transfer graph and dynamic programming. The optimal transmission policy is also obtained and compared with a real-time transmission algorithm. Different aggregation levels (segmentation granularity) of video segments for optimal transmission are also examined by experimental data. Simulation results validate our observations.